搜索结果: 1-15 共查到“理论统计学 Bayesian Analysis”相关记录15条 . 查询时间(0.125 秒)
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off
coherent framework PAC-Bayesian Analysis Exploration-Exploitation Trade-off
2011/6/21
We develop a coherent framework for integrative
simultaneous analysis of the explorationexploitation
and model order selection tradeoffs.
We improve over our preceding results
on the same subject ...
Bayesian analysis of variable-order, reversible Markov chains
Reversibility reinforced random walks variable-order Markov chains Bayesian analysis conjugate priors
2011/6/17
We define a conjugate prior for the reversible Markov chain of
order r. The prior arises from a partially exchangeable reinforced
random walk, in the same way that the Beta distribution arises from
...
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
PAC-Bayesian Analysis Martingales Multiarmed Bandits
2011/6/21
We present two alternative ways to apply PAC-Bayesian analysis to sequences of dependent
random variables. The first is based on a new lemma that enables to bound expectations
of convex functions of...
Bayesian analysis in moment inequality models
Identified region limited information likelihood consistent setestimation maximum posterior model and moment selection
2010/3/9
This paper presents a study of the large-sample behavior of the
posterior distribution of a structural parameter which is partially
identified by moment inequalities. The posterior density is derive...
Infectious diseases both within human and animal populations often pose serious health and socioeconomic risks. From a statistical perspective, their prediction is complicated by the fact...
Modularization in Bayesian Analysis, with Emphasis on Analysis of Computer Models
Complex computer models Confounding Emulators Identiability Random effcts
2009/9/24
Bayesian analysis incorporates different sources of information into
a single analysis through Bayes theorem.When one or more of the sources of
information are suspect(e.g.,if the model assumed for ...
Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways
Bayesian learning data management environmental health model validation
2009/9/24
In this article,we present a behind-the-scenes look at a Bayesian
hierarchical analysis of pathways of exposure to arsenic(a toxic heavy metal)
using the Phase I National Human Exposure Assessment ...
Bayesian Analysis of Comparative Microarray Experiments by Model Averaging
Microarrays gene expression gamma distribution log-normal distribution model averaging true and false positive rates false discovery rate
2009/9/21
A major challenge to the statistical analysis of microarray data is
the small number of samples limited by both cost and sample availability
compared to the large number of genes, now soaring into t...
Coherence and calibration: comments on subjectivity and "objectivity" in Bayesian analysis(Comment on Articles by Berger and by Goldstein)
Meta-analysis out-of-sample predictive calibration
2009/9/21
In this contribution to the discussion of Th case for objective
Bayesian analysis by James Berger and Sujective Bayesian analysis: princi-
ples and practice by Michael Goldstein, I argue that (a) al...
Subjective Bayesian Analysis: Principles and Practice
coherency exchangeability physical model analysis high reliability testing objective Bayes temporal sure preference
2009/9/21
We address the position of subjectivism within Bayesian statistics.
We argue, rst, that the subjectivist Bayes approach is the only feasible method
for tackling many important practical problems. Se...
The Case for Objective Bayesian Analysis
History of objective Bayes reference priors matching priors Jereys priors frequentist validation subjective Bayes unication of statistics coherency marginalization paradox
2009/9/21
Bayesian statistical practice makes extensive use of versions of ob-
jective Bayesian analysis. We discuss why this is so, and address some of the
criticisms that have been raised concerning objecti...
A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets
Sequential Monte Carlo One-Pass Massive Datasets
2009/9/21
For Bayesian analysis of massive data, Markov chain Monte Carlo (MCMC) techniques often prove infeasible due to computational resource constraints. Standard MCMC methods generally require a complete s...
Bayesian Analysis is an electronic journal of the International Society for Bayesian Analysis. It seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoret...
Bayesian Analysis is an electronic journal of the International Society for Bayesian Analysis. It seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoret...
Algebraic Bayesian analysis of contingency tables with possibly zero-probability cells
Algebraic statistics Bayes factor Compatible priors Exponential family Log-linear model Model-instance
2010/4/27
In this paper we consider a Bayesian analysis of contingency tables allowing
for the possibility that cells may have probability zero. In this sense we
depart from standard log-linear modeling that ...