搜索结果: 1-6 共查到“数理统计学 Priors”相关记录6条 . 查询时间(0.046 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...
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...
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 ...