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/- Copyright (c) 2024 Josha Dekker. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Josha Dekker -/ module public import Mathlib.Probability.CDF public import Mathlib.Analysis.SpecialFunctions.Gamma.Basic /-! # Gamma distributions over ℝ Define the gamma measure over...
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/- Copyright (c) 2024 Josha Dekker. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Josha Dekker, Devon Tuma, Kexing Ying -/ module public import Mathlib.Probability.Density public import Mathlib.Probability.ConditionalProbability public import Mathlib.Probability.Prob...
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/- Copyright (c) 2024 Alvan Caleb Arulandu. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Alvan Caleb Arulandu -/ module public import Mathlib.Probability.CDF public import Mathlib.Analysis.SpecialFunctions.ImproperIntegrals /-! # Pareto distributions over ℝ Define...
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/- Copyright (c) 2025 Yaël Dillies. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Yaël Dillies -/ module public import Mathlib.Probability.ProductMeasure public import Mathlib.Probability.HasLaw /-! # Product of bernoulli distributions on a set This file defines th...
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/- Copyright (c) 2026 David Ledvinka. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: David Ledvinka -/ module public import Mathlib.MeasureTheory.Integral.Bochner.Basic public import Mathlib.MeasureTheory.Measure.Haar.OfBasis import Mathlib.Analysis.SpecialFunctions....
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/- Copyright (c) 2023 Claus Clausen. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Claus Clausen, Patrick Massot -/ module public import Mathlib.Probability.CDF public import Mathlib.Probability.Distributions.Gamma /-! # Exponential distributions over ℝ Define the ...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Analysis.SpecificLimits.ArithmeticGeometric public import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap public import M...
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simp only [ha, inv_zero, ne_eq, OfNat.ofNat_ne_zero, not_false_eq_true, zero_pow, mul_zero, zero_mul, Real.exp_zero, ENNReal.ofReal_one, lintegral_const, measure_univ, mul_one, ENNReal.toReal_div, neg_mul] refine le_add_right ?_ rw [← ENNReal.ofReal_one] gcongr simp only [Real.one_le_exp_iff...
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/- Copyright (c) 2024 Josha Dekker. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Josha Dekker -/ module public import Mathlib.Probability.ProbabilityMassFunction.Basic public import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic /-! # Geometric distributio...
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/- Copyright (c) 2025 Tommy Löfgren. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Tommy Löfgren -/ module public import Mathlib.Analysis.SpecialFunctions.Gamma.Beta /-! # Beta distributions over ℝ Define the beta distribution over the reals. ## Main definitions *...
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/- Copyright (c) 2025 Yaël Dillies. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Yaël Dillies -/ module public import Mathlib.Probability.CondVar public import Mathlib.Probability.Distributions.SetBernoulli public import Mathlib.Probability.Moments.Variance public i...
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/- Copyright (c) 2024 Yaël Dillies. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Yaël Dillies -/ module public import Mathlib.MeasureTheory.Integral.Bochner.Basic public import Mathlib.Probability.CondVar import Mathlib.Probability.Notation /-! # Distributions on ...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Integral.DominatedConvergence public import Mathlib.Probability.Kernel.MeasurableLIntegral /-! # Measurability of the integra...
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/- Copyright (c) 2022 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Integral.Bochner.Basic public import Mathlib.Probability.Kernel.Basic /-! # Bochner integrals of kernels -/ public section ...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.MeasureComp public import Mathlib.Probability.Kernel.CondDistrib public import Mathlib.Probability.Conditiona...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.Lemmas public import Mathlib.Probability.Kernel.Disintegration.Unique /-! # Regular conditional probability ...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.MeasureTheory.Integral.Bochner.Set public import Mathlib.Probability.Kernel.Integral /-! # Integral against a kernel over a set This f...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.MeasurableSpace.Prod public import Mathlib.Probability.Kernel.Basic /-! # Measurability of the integral against a kernel The...
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/- Copyright (c) 2022 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Defs /-! # Basic kernels This file contains basic results about kernels in general and definitions of some particular k...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Disintegration.Density public import Mathlib.Probability.Kernel.WithDensity /-! # Radon-Nikodym derivative and Lebesgue ...
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variable [IsFiniteKernel κ] {a : α} lemma rnDeriv_eq_rnDeriv_measure : rnDeriv κ η a =ᵐ[η a] ∂(κ a)/∂(η a) := eq_rnDeriv_measure (rnDeriv_add_singularPart κ η).symm (measurable_rnDeriv κ η) a (mutuallySingular_singularPart κ η a) lemma singularPart_eq_singularPart_measure : singularPart κ η a = (κ a).singularPa...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.AbsolutelyContinuous /-! # Condition for two kernels to be equal almost everywhere We prove that two finite...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Integral.Bochner.ContinuousLinearMap public import Mathlib.Probability.Kernel.MeasurableLIntegral /-! # With Density For an ...
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/- Copyright (c) 2024 Yaël Dillies, Kalle Kytölä, Kin Yau James Wong. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Yaël Dillies, Kalle Kytölä, Kin Yau James Wong -/ module public import Mathlib.Probability.Kernel.Composition.CompNotation /-! # Proper kernels This ...
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/- Copyright (c) 2022 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Measure.GiryMonad /-! # Markov Kernels A kernel from a measurable space `α` to another measurable space `β` is a measurable ...
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/- Copyright (c) 2025 Gaëtan Serré. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Gaëtan Serré, Rémy Degenne -/ module public import Mathlib.MeasureTheory.Constructions.Polish.Basic public import Mathlib.MeasureTheory.Constructions.UnitInterval public import Mathlib....
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/- Copyright (c) 2025 Bryan Wang. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Bryan Wang -/ module public import Mathlib.Probability.Kernel.Composition.Comp /-! # Irreducibility of kernels A kernel `κ : Kernel α α` is `φ`-irreducible, for a given measure `φ` on `...
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/- Copyright (c) 2023 Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Kexing Ying, Matteo Cipollina -/ module public import Mathlib.Probability.Kernel.Composition.MeasureComp /-! # Invariance of measures along a kernel We say that a measure `μ` is invari...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.CompProdEqIff public import Mathlib.Probability.Kernel.Composition.Lemmas public import Mathlib.Probability.Kernel.Disint...
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/- Copyright (c) 2025 Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Kexing Ying -/ module public import Mathlib.Probability.Process.Adapted /-! # Predictable σ-algebra This file defines the predictable σ-algebra associated to a filtration, as well as t...
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/- Copyright (c) 2021 Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Kexing Ying, Rémy Degenne -/ module public import Mathlib.Probability.Process.Filtration public import Mathlib.Topology.Instances.Discrete /-! # Adapted and progressively measurable pro...
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/- Copyright (c) 2021 Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Kexing Ying, Rémy Degenne -/ module public import Mathlib.MeasureTheory.Constructions.Cylinders public import Mathlib.MeasureTheory.Function.ConditionalExpectation.Real public import Mat...
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/- Copyright (c) 2021 Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Kexing Ying, Rémy Degenne -/ module public import Mathlib.Probability.Process.Adapted public import Mathlib.MeasureTheory.Constructions.BorelSpace.WithTop public import Mathlib.Data.ENat...
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rw [@eq_comm _ i, or_comm] rw [this] exact (hτ.measurableSet_eq' i).union (hτ.measurableSet_gt' i) protected theorem measurableSet_lt' [TopologicalSpace ι] [OrderTopology ι] [FirstCountableTopology ι] (hτ : IsStoppingTime f τ) (i : ι) : MeasurableSet[hτ.measurableSpace] {ω | τ ω < i} := by have : {ω | τ ...
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lift τ ω to ι using h_top with i hi exact ⟨i, mod_cast hbdd, rfl⟩ theorem integrable_stoppedValue_of_mem_finset (hτ : IsStoppingTime ℱ τ) (hu : ∀ n, Integrable (u n) μ) {s : Finset ι} (hbdd : ∀ ω, τ ω ∈ WithTop.some '' s) : Integrable (stoppedValue u τ) μ := by simp_rw [← memLp_one_iff_integrable] at hu ⊢ ...
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/- Copyright (c) 2026 Rémy Degenne, Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Kexing Ying -/ module public import Mathlib.Probability.Process.Stopping /-! # Local properties of processes This file defines local and stable properties o...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.MeasurableSpace.CountablyGenerated public import Mathlib.Probability.Process.Filtration /-! # Filtration built from the finit...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic public import Mathlib.MeasureTheory.Function.StronglyMeasurable.AEStronglyMeasurable public im...
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/- Copyright (c) 2022 Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Kexing Ying, Rémy Degenne -/ module public import Mathlib.Probability.Process.Stopping public import Mathlib.Tactic.AdaptationNote /-! # Hitting times Given a stochastic process, the h...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Jonas Bayer -/ module public import Mathlib.MeasureTheory.Constructions.Projective public import Mathlib.Probability.IdentDistrib /-! # Finite-dimensional distributions o...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Independence.Kernel.Indep public import Mathlib.MeasureTheory.MeasurableSpace.Pi public import Mathlib.Probability.ConditionalPr...
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exact iIndepFun.congr' hf_indep fun i ↦ Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk refine IndepFun.congr' h ?_ ?_ · filter_upwards [Measure.ae_ae_of_ae_comp (hf_meas i).ae_eq_mk, Measure.ae_ae_of_ae_comp (hf_meas j).ae_eq_mk] with a hi hj filter_upwards [hi, hj] with ω hωi hωj rw [← hωi, ← hωj] ·...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Basic public import Mathlib.Tactic.Peel public import Mathlib.Analysis.Normed.Group.Basic /-! # Independence of families...
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⋂ i ∈ p1 ∪ p2, ite (i ∈ p1) (f1 i) Set.univ ∩ ite (i ∈ p2) (f2 i) Set.univ := by ext1 x simp only [Set.mem_ite_univ_right, Set.mem_inter_iff, Set.mem_iInter, Finset.mem_union] exact ⟨fun h i _ => ⟨h.1 i, h.2 i⟩, fun h => ⟨fun i hi => (h i (Or.inl hi)).1 hi, fun i hi => (h i (Or.inr h...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion, Joris van Winden -/ module public import Mathlib.Probability.Independence.Process.HasIndepIncrements.Basic deprecated_module (since := "2026-03-30")
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.MeasureTheory.Constructions.Cylinders public import Mathlib.Probability.Independence.Basic /-! # Independence of stochastic processes ...
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Kernel.iIndepFun.iIndepFun_process₀ (by simpa) h end ProbabilityTheory
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion, Joris van Winden -/ module public import Mathlib.Probability.Independence.Basic import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap /-! # Stoch...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.IsGaussianProcess.Def public import Mathlib.Probability.Independence.Process.HasIndepIncrements.Basic...
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/- Copyright (c) 2025 Yaël Dillies. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Yaël Dillies -/ module public import Mathlib.Data.Sym.Card public import Mathlib.MeasureTheory.Constructions.SimpleGraph public import Mathlib.Probability.Distributions.SetBernoulli /-...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Decision.Risk.Defs public import Mathlib.Probability.Kernel.Composition.MeasureComp /-! # Basic properties of...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Kernel.Composition.Comp /-! # Risk of an estimator An estimation problem is defined by a parameter space `Θ`...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Distributions.Gaussian.Real /-! # Gaussian distributions in Banach spaces We introduce a predicate `IsGaussian` for measures o...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Distributions.Fernique public import Mathlib.Probability.Distributions.Gaussian.Basic /-! # Fernique's theorem for Gaussian mea...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.Basic public import Mathlib.Probability.Moments.CovarianceBilin import Mathlib.Probability.Distribut...
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/- Copyright (c) 2026 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Etienne Marion -/ module public import Mathlib.Analysis.CStarAlgebra.Matrix public import Mathlib.MeasureTheory.Measure.CharacteristicFunction.Basic public import Mathlib....
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Lorenzo Luccioli, Rémy Degenne, Alexander Bentkamp -/ module public import Mathlib.Analysis.SpecialFunctions.Gaussian.FourierTransform public import Mathlib.Probability.HasLaw public im...
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/-- The variance of a real Gaussian distribution `gaussianReal μ v` is its variance parameter `v`. -/ @[simp] lemma variance_id_gaussianReal : Var[id; gaussianReal μ v] = v := variance_fun_id_gaussianReal /-- All the moments of a real Gaussian distribution are finite. That is, the identity is in Lp for all finite `p...
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/- Copyright (c) 2024 Josha Dekker. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Josha Dekker, Etienne Marion -/ module public import Mathlib.MeasureTheory.Integral.Bochner.Basic public import Mathlib.Probability.ProbabilityMassFunction.Basic import Mathlib.Analysi...
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/- Copyright (c) 2026 Yi Yuan. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Yi Yuan -/ module public import Mathlib.Probability.Distributions.Poisson.Basic public import Mathlib.Probability.ProbabilityMassFunction.Binomial import Mathlib.Algebra.Order.Ring.Star imp...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.Basic /-! # Gaussian random variables In this file we define a predicate `HasGaussianLaw X P`, whic...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Def public import Mathlib.Probability.HasLaw import Mathlib.Probability.Distributions....
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Def public import Mathlib.Probability.HasLaw import Mathlib.Probability.Distributions...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Def /-! # Gaussian processes In this file we define a **Gaussian process** as a stoc...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.IsGaussianProcess.Def import Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Basic import ...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.Probability.Distributions.Gaussian.IsGaussianProcess.Def import Mathlib.Probability.Distributions.Gaussian.HasGaussianLaw.Basic import ...
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/- Copyright (c) 2026 Gaëtan Serré. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Gaëtan Serré -/ module public import Mathlib.CategoryTheory.MarkovCategory.Basic public import Mathlib.CategoryTheory.CopyDiscardCategory.Widesubcategory public import Mathlib.Probabil...
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/- Copyright (c) 2026 Gaëtan Serré. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Gaëtan Serré -/ module public import Mathlib.CategoryTheory.CopyDiscardCategory.Basic public import Mathlib.Probability.Kernel.Composition.KernelLemmas /-! # SFinKer The category of m...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.MeasureTheory.MeasurableSpace.Embedding public import Mathlib.Order.Restriction /-! # Auxiliary maps for Ionescu-Tulcea theorem This f...
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/- Copyright (c) 2024 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.MeasureTheory.Constructions.ProjectiveFamilyContent public import Mathlib.MeasureTheory.Function.FactorsThrough public import Mathlib.Me...
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rw [Measure.map_apply (measurable_frestrictLe n) ms, trajFun, AddContent.measure_eq, trajContent, projectiveFamilyContent_congr _ (frestrictLe n ⁻¹' s) rfl ms] · exact generateFrom_measurableCylinders.symm · exact cylinder_mem_measurableCylinders _ _ ms variable {κ} in theorem measurable_trajFun (a : ℕ) : Meas...
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/- Copyright (c) 2025 Etienne Marion. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Etienne Marion -/ module public import Mathlib.MeasureTheory.MeasurableSpace.PreorderRestrict public import Mathlib.Probability.Kernel.Composition.Prod public import Mathlib.Probabili...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Function.AEEqOfIntegral public import Mathlib.Probability.Kernel.Composition.CompProd public import Mathlib.Probability.Kernel...
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(a : α) {s : Set β} (hs : MeasurableSet s) : ∫⁻ b in s, hf.toKernel f (a, b) univ ∂(ν a) = κ a (s ×ˢ univ) := by rw [← Real.iUnion_Iic_rat, prod_iUnion] have h_dir : Directed (fun x y ↦ x ⊆ y) fun q : ℚ ↦ Iic (q : ℝ) := by refine Monotone.directed_le fun r r' hrr' ↦ Iic_subset_Iic.mpr ?_ exact mod_cast ...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Measure.GiryMonad public import Mathlib.MeasureTheory.Measure.Stieltjes public import Mathlib.Analysis.Normed.Order.Lattice pu...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.IntegralCompProd public import Mathlib.Probability.Kernel.Disintegration.StandardBorel /-! # Lebesgue and Bo...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.MapComap public import Mathlib.Probability.Martingale.Convergence public import Mathlib.Probability.Process.P...
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· exact Eventually.of_forall (fun n ↦ densityProcess_mono_set hκν n a x h) · exact isCoboundedUnder_le_of_le atTop (fun i ↦ densityProcess_nonneg _ _ _ _ _ _) · exact isBoundedUnder_of ⟨1, fun n ↦ densityProcess_le_one hκν _ _ _ _⟩ lemma density_nonneg (hκν : fst κ ≤ ν) (a : α) (x : γ) (s : Set β) : 0 ≤ densit...
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/- Copyright (c) 2024 Yaël Dillies, Kin Yau James Wong. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Yaël Dillies, Kin Yau James Wong, Rémy Degenne -/ module public import Mathlib.MeasureTheory.Function.AEEqOfLIntegral public import Mathlib.Probability.Kernel.Compos...
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/- Copyright (c) 2023 Kexing Ying. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Kexing Ying, Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Disintegration.Integral /-! # Uniqueness of the conditional kernel We prove that the conditional kernels `P...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Measure.Decomposition.RadonNikodym public import Mathlib.MeasureTheory.Measure.Prod public import Mathlib.Probability.Kernel.D...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.MeasureCompProd public import Mathlib.Probability.Kernel.Disintegration.Basic public import Mathlib.Probabili...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Etienne Marion -/ module public import Mathlib.Probability.Kernel.MeasurableLIntegral /-! # Composition of kernels We define the composition `η ∘ₖ κ` of kernels `κ : Ker...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Kernel.Composition.MeasureComp /-! # Lemmas relating different ways to compose measures and kernels This fil...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.CompMap public import Mathlib.Probability.Kernel.Composition.ParallelComp /-! # Product and composition of k...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue public import Mathlib.MeasureTheory.Measure.Prod public import Mathlib.Probability.Kernel.Compo...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Kernel.Basic /-! # Map of a kernel by a measurable function We define the map and comap of a kernel along a ...
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lemma sectL_prodMkLeft (α : Type*) [MeasurableSpace α] (κ : Kernel β γ) (a : α) {b : β} : sectL (prodMkLeft α κ) b a = κ b := rfl @[simp] lemma sectL_prodMkRight (β : Type*) [MeasurableSpace β] (κ : Kernel α γ) (b : β) : sectL (prodMkRight β κ) b = κ := rfl /-- Define a `Kernel β γ` from a `Kernel (α × β) γ` ...
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/- Copyright (c) 2026 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.MeasureCompProd import Mathlib.MeasureTheory.Measure.Decomposition.RadonNikodym /-! # Radon-Nikodym derivat...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Etienne Marion -/ module public import Mathlib.Probability.Kernel.Composition.MeasureComp public import Mathlib.Probability.Kernel.MeasurableIntegral /-! # Bochner integr...
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Integrable (fun p ↦ f p.2) (μ ⊗ₘ κ) ↔ Integrable f (κ ∘ₘ μ) := by rw [← Measure.snd_compProd, Measure.snd, integrable_map_measure _ measurable_snd.aemeasurable, Function.comp_def] rwa [← Measure.snd, Measure.snd_compProd] lemma ae_integrable_of_integrable_comp (h_int : Integrable f (κ ∘ₘ μ)) : ∀ᵐ x ∂μ, Int...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Kernel.Composition.MeasureCompProd public import Mathlib.Probability.Kernel.RadonNikodym /-! # Absolute conti...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Kernel.Composition.CompProd public import Mathlib.Probability.Kernel.Composition.Prod /-! # Lemmas relating d...
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/- Copyright (c) 2024 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.MeasureTheory.Measure.Prod public import Mathlib.Probability.Kernel.Composition.MapComap public import Mathlib.Probability...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Kernel.Basic /-! # Notation for the composition of a measure and a kernel This operation, for which we intro...
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.Comp public import Mathlib.Probability.Kernel.Composition.ParallelComp /-! # Composition-product of kernels ...
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lemma fst_compProd (κ : Kernel α β) (η : Kernel (α × β) γ) [IsSFiniteKernel κ] [IsMarkovKernel η] : fst (κ ⊗ₖ η) = κ := by ext x s hs; simp [fst_compProd_apply, hs] end FstSnd end Kernel end ProbabilityTheory
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/- Copyright (c) 2023 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne -/ module public import Mathlib.Probability.Kernel.Composition.Comp public import Mathlib.Probability.Kernel.Composition.MapComap /-! # Lemmas about compositions and maps ...
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/- Copyright (c) 2025 Rémy Degenne. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Rémy Degenne, Lorenzo Luccioli -/ module public import Mathlib.Probability.Kernel.Composition.CompNotation public import Mathlib.Probability.Kernel.Composition.KernelLemmas public impor...
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/- Copyright (c) 2022 Mario Carneiro. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Mario Carneiro, Heather Macbeth -/ module public import Mathlib.Util.AtomM /-! # Running `AtomM` metaprograms recursively Tactics such as `ring` and `abel` are implemented using the...