import Mathlib namespace OAI open MeasureTheory ProbabilityTheory Set Filter open scoped ENNReal NNReal noncomputable section namespace PosteriorReplicas @[fun_prop] lemma measurable_fin_cons {Y : Type*} [MeasurableSpace Y] {n : ℕ} : Measurable (fun z : Y × (Fin n → Y) => (Fin.cons z.1 z.2 : Fin (n+1) → Y)) := by apply measurable_pi_iff.mpr intro i refine Fin.cases ?_ (fun j => ?_) i · simpa only [Fin.cons_zero] using (measurable_fst : Measurable (Prod.fst : Y × (Fin n → Y) → Y)) · simpa only [Fin.cons_succ, Function.comp_def] using (measurable_pi_apply j).comp measurable_snd def piKernel {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y] : {n : ℕ} → (Fin n → Kernel X Y) → Kernel X (Fin n → Y) | 0, _ => Kernel.deterministic (fun _ i => Fin.elim0 i) (by fun_prop) | n+1, κ => ((κ 0) ×ₖ piKernel (fun i : Fin n => κ i.succ)).map (fun z => Fin.cons z.1 z.2) instance piKernel_markov {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y] {n : ℕ} (κ : Fin n → Kernel X Y) [∀ i, IsMarkovKernel (κ i)] : IsMarkovKernel (piKernel κ) := by induction n with | zero => unfold piKernel; infer_instance | succ n ih => have : IsMarkovKernel (piKernel (fun i : Fin n => κ i.succ)) := ih _ unfold piKernel exact Kernel.IsMarkovKernel.map _ (by fun_prop) lemma piKernel_apply {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y] {n : ℕ} (κ : Fin n → Kernel X Y) [∀ i, IsMarkovKernel (κ i)] (x : X) : piKernel κ x = Measure.pi (fun i => κ i x) := by induction n with | zero => rw [piKernel, Kernel.deterministic_apply, Measure.pi_of_empty _ (fun i => Fin.elim0 i)] | succ n ih => have hκ : ∀ i : Fin n, IsMarkovKernel (κ i.succ) := inferInstance rw [piKernel, Kernel.map_apply _ (by fun_prop), Kernel.prod_apply, ih] let e := (MeasurableEquiv.piFinSuccAbove (fun _ : Fin (n+1) => Y) 0).symm have he : (fun z : Y × (Fin n → Y) => Fin.cons z.1 z.2) = e := by funext z simp only [e, MeasurableEquiv.piFinSuccAbove_symm_apply, Fin.insertNthEquiv, Fin.insertNth_zero, Fin.zero_succAbove, Equiv.coe_fn_mk, cast_eq] rw [he] exact (measurePreserving_piFinSuccAbove (fun i : Fin (n+1) => κ i x) 0).symm.map_eq @[fun_prop] lemma measurable_piKernel {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y] {n : ℕ} (κ : Fin n → Kernel X Y) [∀ i, IsMarkovKernel (κ i)] : Measurable (fun x => Measure.pi (fun i => κ i x)) := by simpa only [← piKernel_apply] using (piKernel κ).measurable end PosteriorReplicas end end OAI