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Title: Construction of weakly CUD sequences for MCMC sampling |
Abstract: In Markov chain Monte Carlo (MCMC) sampling considerable thought goes into constructing random transitions. But those transitions are almost always driven by a simulated IID sequence. Recently it has been shown that replacing an IID sequence by a weakly completely uniformly distributed (WCUD) sequence leads t... |
Title: A new method for fast computing unbiased estimators of cumulants |
Abstract: We propose new algorithms for generating $k$-statistics, multivariate $k$-statistics, polykays and multivariate polykays. The resulting computational times are very fast compared with procedures existing in the literature. Such speeding up is obtained by means of a symbolic method arising from the classical u... |
Title: Message-passing for Maximum Weight Independent Set |
Abstract: We investigate the use of message-passing algorithms for the problem of finding the max-weight independent set (MWIS) in a graph. First, we study the performance of the classical loopy max-product belief propagation. We show that each fixed point estimate of max-product can be mapped in a natural way to an ex... |
Title: I'm sorry to say, but your understanding of image processing fundamentals is absolutely wrong |
Abstract: The ongoing discussion whether modern vision systems have to be viewed as visually-enabled cognitive systems or cognitively-enabled vision systems is groundless, because perceptual and cognitive faculties of vision are separate components of human (and consequently, artificial) information processing system m... |
Title: Mathematical Structure of Quantum Decision Theory |
Abstract: One of the most complex systems is the human brain whose formalized functioning is characterized by decision theory. We present a "Quantum Decision Theory" of decision making, based on the mathematical theory of separable Hilbert spaces. This mathematical structure captures the effect of superposition of comp... |
Title: A 8 bits Pipeline Analog to Digital Converter Design for High Speed Camera Application |
Abstract: - This paper describes a pipeline analog-to-digital converter is implemented for high speed camera. In the pipeline ADC design, prime factor is designing operational amplifier with high gain so ADC have been high speed. The other advantage of pipeline is simple on concept, easy to implement in layout and have... |
Title: Design and Implementation a 8 bits Pipeline Analog to Digital Converter in the Technology 0.6 \mu m CMOS Process |
Abstract: This paper describes a 8 bits, 20 Msamples/s pipeline analog-to-digital converter implemented in 0.6 \mu m CMOS technology with a total power dissipation of 75.47 mW. Circuit techniques used include a precise comparator, operational amplifier and clock management. A switched capacitor is used to sample and mu... |
Title: Logics for the Relational Syllogistic |
Abstract: The Aristotelian syllogistic cannot account for the validity of many inferences involving relational facts. In this paper, we investigate the prospects for providing a relational syllogistic. We identify several fragments based on (a) whether negation is permitted on all nouns, including those in the subject ... |
Title: Microarrays, Empirical Bayes and the Two-Groups Model |
Abstract: The classic frequentist theory of hypothesis testing developed by Neyman, Pearson and Fisher has a claim to being the twentieth century's most influential piece of applied mathematics. Something new is happening in the twenty-first century: high-throughput devices, such as microarrays, routinely require simul... |
Title: Comment: Microarrays, Empirical Bayes and the Two-Groups Model |
Abstract: Comment on ``Microarrays, Empirical Bayes and the Two-Groups Model'' [arXiv:0808.0572] |
Title: Comment: Microarrays, Empirical Bayes and the Two-Group Model |
Abstract: Comment on ``Microarrays, Empirical Bayes and the Two-Group Model'' [arXiv:0808.0572] |
Title: Comment: Microarrays, Empirical Bayes and the Two-Groups Model |
Abstract: Brad Efron's paper [arXiv:0808.0572] has inspired a return to the ideas behind Bayes, frequency and empirical Bayes. The latter preferably would not be limited to exchangeable models for the data and hyperparameters. Parallels are revealed between microarray analyses and profiling of hospitals, with advances ... |
Title: Comment: Microarrays, Empirical Bayes and the Two-Groups Model |
Abstract: Comment on ``Microarrays, Empirical Bayes and the Two-Groups Model'' [arXiv:0808.0572] |
Title: Rejoinder: Microarrays, Empirical Bayes and the Two-Groups Model |
Abstract: Rejoinder to ``Microarrays, Empirical Bayes and the Two-Groups Model'' [arXiv:0808.0572] |
Title: The 2005 Neyman Lecture: Dynamic Indeterminism in Science |
Abstract: Jerzy Neyman's life history and some of his contributions to applied statistics are reviewed. In a 1960 article he wrote: ``Currently in the period of dynamic indeterminism in science, there is hardly a serious piece of research which, if treated realistically, does not involve operations on stochastic proces... |
Title: Comment: The 2005 Neyman Lecture: Dynamic Indeterminism in Science |
Abstract: Comment on ``The 2005 Neyman Lecture: Dynamic Indeterminism in Science'' [arXiv:0808.0620] |
Title: Comment: The 2005 Neyman Lecture: Dynamic Indeterminism in Science |
Abstract: Comment on ``The 2005 Neyman Lecture: Dynamic Indeterminism in Science'' [arXiv:0808.0620] |
Title: Rejoinder: The 2005 Neyman Lecture: Dynamic Indeterminism in Science |
Abstract: Rejoinder to ``The 2005 Neyman Lecture: Dynamic Indeterminism in Science'' [arXiv:0808.0620] |
Title: Verbal Autopsy Methods with Multiple Causes of Death |
Abstract: Verbal autopsy procedures are widely used for estimating cause-specific mortality in areas without medical death certification. Data on symptoms reported by caregivers along with the cause of death are collected from a medical facility, and the cause-of-death distribution is estimated in the population where ... |
Title: High-Breakdown Robust Multivariate Methods |
Abstract: When applying a statistical method in practice it often occurs that some observations deviate from the usual assumptions. However, many classical methods are sensitive to outliers. The goal of robust statistics is to develop methods that are robust against the possibility that one or several unannounced outli... |
Title: Support union recovery in high-dimensional multivariate regression |
Abstract: In multivariate regression, a $K$-dimensional response vector is regressed upon a common set of $p$ covariates, with a matrix $B^*\in^p\times K$ of regression coefficients. We study the behavior of the multivariate group Lasso, in which block regularization based on the $\ell_1/\ell_2$ norm is used for suppor... |
Title: A Conversation with Peter Huber |
Abstract: Peter J. Huber was born on March 25, 1934, in Wohlen, a small town in the Swiss countryside. He obtained a diploma in mathematics in 1958 and a Ph.D. in mathematics in 1961, both from ETH Zurich. His thesis was in pure mathematics, but he then decided to go into statistics. He spent 1961--1963 as a postdoc at... |
Title: LLE with low-dimensional neighborhood representation |
Abstract: The local linear embedding algorithm (LLE) is a non-linear dimension-reducing technique, widely used due to its computational simplicity and intuitive approach. LLE first linearly reconstructs each input point from its nearest neighbors and then preserves these neighborhood relations in the low-dimensional em... |
Title: The Early Statistical Years: 1947--1967 A Conversation with Howard Raiffa |
Abstract: Howard Raiffa earned his bachelor's degree in mathematics, his master's degree in statistics and his Ph.D. in mathematics at the University of Michigan. Since 1957, Raiffa has been a member of the faculty at Harvard University, where he is now the Frank P. Ramsey Chair in Managerial Economics (Emeritus) in th... |
Title: Mutual information is copula entropy |
Abstract: We prove that mutual information is actually negative copula entropy, based on which a method for mutual information estimation is proposed. |
Title: Text Modeling using Unsupervised Topic Models and Concept Hierarchies |
Abstract: Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can potentially discover a broad range of themes in a data set, the interpretability of the learned topics is not always ideal. Human-de... |
Title: Happy places or happy people? A multi-level modelling approach to the analysis of happiness and well-being |
Abstract: This paper aims to enhance our understanding of substantive questions regarding self-reported happiness and well-being through the specification and use of multi-level models. To date, there have been numerous quantitative research studies of the happiness of individuals, based on single-level regression mode... |
Title: Verified Null-Move Pruning |
Abstract: In this article we review standard null-move pruning and introduce our extended version of it, which we call verified null-move pruning. In verified null-move pruning, whenever the shallow null-move search indicates a fail-high, instead of cutting off the search from the current node, the search is continued ... |
Title: Relations among conditional probabilities |
Abstract: We describe a Groebner basis of relations among conditional probabilities in a discrete probability space, with any set of conditioned-upon events. They may be specialized to the partially-observed random variable case, the purely conditional case, and other special cases. We also investigate the connection t... |
Title: Commonsense Knowledge, Ontology and Ordinary Language |
Abstract: Over two decades ago a "quite revolution" overwhelmingly replaced knowledgebased approaches in natural language processing (NLP) by quantitative (e.g., statistical, corpus-based, machine learning) methods. Although it is our firm belief that purely quantitative approaches cannot be the only paradigm for NLP, ... |
Title: On the incidence-prevalence relation and length-biased sampling |
Abstract: For many diseases, logistic and other constraints often render large incidence studies difficult, if not impossible, to carry out. This becomes a drawback, particularly when a new incidence study is needed each time the disease incidence rate is investigated in a different population. However, by carrying out... |
Title: Self-Motions of General 3-RPR Planar Parallel Robots |
Abstract: This paper studies the kinematic geometry of general 3-RPR planar parallel robots with actuated base joints. These robots, while largely overlooked, have simple direct kinematics and large singularity-free workspace. Furthermore, their kinematic geometry is the same as that of a newly developed parallel robot... |
Title: New Tests of Spatial Segregation Based on Nearest Neighbor Contingency Tables |
Abstract: The spatial clustering of points from two or more classes (or species) has important implications in many fields and may cause the spatial patterns of segregation and association, which are two major types of spatial interaction between the classes. The null patterns we consider are random labeling (RL) and c... |
Title: Markov switching models: an application to roadway safety |
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