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昆明理工大学理学院概率论与数理统计课件Chapter 1 The Axioms of Probability--Bayes Theorem
昆明理工大学理学院 概率论与数理统计 课件 Chapter 1 The Axioms of Probability Bayes Theorem
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 1 The Axioms of Probability--Bayes Theorem.
Varying Naive Bayes Models with Applications toClassi cation of Chinese Text Documents
BIC Chinese Document Classification Screening Consistency
2016/1/25
Document classification is an area of great importance for which many clas-sification methods have been well developed. However, most of these methods cannot generate time-dependent classification rul...
Minimax Bayes, asymptotic minimax and sparse wavelet priors
Minimax Decision theory Minimax Bayes estimation
2015/8/20
Pinsker(1980) gave a precise asymptotic evaluation of the minimax mean squared
error of estimation of a signal in Gaussian noise when the signal is known a priori
to lie in a compact ellipsoid in Hi...
This paper explores a class of empirical Bayes methods for levedependent threshold selection in wavelet shrinkage. The prior considered
for each wavelet coefficient is a mixture of an atom of p...
NEEDLES AND STRAW IN HAYSTACKS: EMPIRICAL BAYES ESTIMATES OF POSSIBLY SPARSE SEQUENCES
HAYSTACKS NEEDLES AND STRAW
2015/8/20
An empirical Bayes approach to the estimation of possibly sparse
sequences observed in Gaussian white noise is set out and investigated. The
prior considered is a mixture of an atom of probability a...
Two modeling strategies for empirical Bayes estimation
f-modeling g-modeling Bayes rule in terms of f
2015/8/20
Empirical Bayes methods use the data from parallel experiments, for instance observtions Xk N (k;1) for k = 1;2; : : : ; N, to estimate the conditional distributions kjXk.
There are two main estima...
This article is intended as an expositional overview of empirical Bayes modeling
methodology, presented in a simpli ed framework that reduces technical diculties. The
two principal empirical Bayes ...
Empirical Bayes Estimates for Large-Scale Prediction Problems
microarray prediction empirical Bayes shrunken centroids
2015/8/20
Classical prediction methods such as Fisher's linear discriminant function were designed for
small-scale problems, where the number of predictors N is much smaller than the number of
observations n....
Microarrays, Empirical Bayes, and the Two-Groups Model
Empirical Bayes the Two-Groups Model
2015/8/20
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. Somethi...
ON INCONSISTENT BAYES ESTIMATES IN THE DISCRETE CASE
Probability distribution integer mixture dirichlet
2015/7/14
Consider sampling from an unknown probability distribution on the
integers. With a tail-free prior, the posterior distribution is consistent. With
a mixture of a tail-free prior and a point mass, ...
SOME ALTERNATIVES TO BAYES'S RULE。
We discuss frequent! properties of Ba~es rules, pa~ing special attention
to consistency. Some new and fairly natural counterexamples are given,
involving nonparametric estimates of location. E\ren...
ON INCONSISTENT BAYES ESTIMATES OF LOCATION。
ON THE UNIFORM CONSISTENCY OF BAYES ESTIMATES FOR MULTINOMIAL PROBABILITIES
Bayesian the probability of polynomial the uniform consistency
2015/7/14
ON THE UNIFORM CONSISTENCY OF BAYES ESTIMATES FOR MULTINOMIAL PROBABILITIES.
Consistency of Bayes Estimates for Nonparametric Regression: Normal Theory
Consistency Bayes estimates model selection binary regression
2015/7/14
Performance characteristics of Bayes estimates are studied. More exactly, for each subject in a data
set, let 5 be a vector of binary covariates and let Y be a normal response variable, with
E{YIE...