搜索结果: 1-11 共查到“理学 Priors”相关记录11条 . 查询时间(0.073 秒)
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...
CONJUGATE PRIORS FOR EXPONENTIAL FAMILIES
Random vector distribution natural parameter parameters
2015/7/15
Let X be a random vector distributed according to an exponential family
with natural parameter 0 E O.We characterize conjugate prior measures on O
through the property of linear posterior expectat...
Gibbs Sampling, Conjugate Priors and Coupling
Gibbs sampling conjugate clairvoyance coupling
2015/7/7
Gibbs Sampling, Conjugate Priors and Coupling。
de Finetti Priors using Markov chain Monte Carlo computations
Priors MCMC Contingency Tables Bayesian Inference Independence
2015/7/7
de Finetti Priors using Markov chain Monte Carlo computations。
Scoring Bayesian Networks with Informative, Causal and Associative Priors
Scoring Bayesian Networks Informative Causal Associative Priors
2012/11/26
A significant theoretical advantage of search-and-score methods for learning Bayesian Networks is that they can accept informative prior beliefs for each possible network, thus complementing the data....
Bayesian inverse problems with non-conjugate priors
Rate of contraction posterior distribution nonparametric hypothesis testing.
2012/11/23
We investigate the frequentist posterior contraction rate of nonparametric Bayesian procedures in linear inverse problems in both the mildly and severely ill-posed cases. A theorem is proved in a gene...
Heavy tailed priors: an alternative to non-informative priors in the estimation of proportions on small areas
Survey Sampling Exponential Family Objective Robust Priors Small Areas Estimation
2011/10/8
Abstract: We explore the Cauchy and a new heavy tailed (Fuquene, Perez and Pericchi (2011)) priors to estimate proportions on small areas. Hierarchical models and the Binomial likelihood in the expone...
Model Inference with Reference Priors
Model Inference Reference Priors High Energy Physics - Phenomenology
2011/8/17
Abstract: We describe the application of model inference based on reference priors to two concrete examples in high energy physics: the determination of the CKM matrix parameters rhobar and etabar and...
Generalized Species Sampling Priors with Latent Beta reinforcements
Generalized Species Priors Latent Beta reinforcements
2011/1/18
Many popular Bayesian Nonparametric priors can be characterized in terms of exchangeable species sampling sequences. One example is the Dirichlet Process prior,that has been increasingly used for mode...
Robust Bayesian variable selection with sub-harmonic priors
Bayes factor Bayesian variable selection fully Bayes method model selection consistency
2010/12/15
This paper studies Bayesian variable selection in linear models with spherically symmetric error distributions. We give a series of proper prior distributions which converge in a certain sense to an i...
Bayesian Predictive Densities Based on Latent Information Priors
essentially complete class Jeffreys prior Kullback-Leibler divergence
2010/12/13
Construction methods for prior densities are investigated from a predictive viewpoint. redictive densities for future observables are constructed by using observed data. The simultaneous distribution ...