Results 11 to 20 of about 104,862 (79)
Adaptive posterior contraction rates for the horseshoe [PDF]
, 2017 We investigate the frequentist properties of Bayesian procedures for estimation based on the horseshoe prior in the sparse multivariate normal means model.
Szabó, Botond +2 more
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A statistical framework for joint eQTL analysis in multiple tissues [PDF]
, 2012 Mapping expression Quantitative Trait Loci (eQTLs) represents a powerful and widely-adopted approach to identifying putative regulatory variants and linking them to specific genes.
Flutre, Timothée +3 more
core +5 more sources
Rejoinder to discussions of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" [PDF]
, 2015 Rejoinder of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" by Szab\'o, van der Vaart and van Zanten [arXiv:1310.4489v5].Comment: Published at http://dx.doi.org/10.1214/15-AOS1270REJ in the Annals of Statistics (http://www ...
Szabó, Botond +2 more
core +6 more sources
On the half-Cauchy prior for a global scale parameter [PDF]
, 2010 This paper argues that the half-Cauchy distribution should replace the inverse-Gamma distribution as a default prior for a top-level scale parameter in Bayesian hierarchical models, at least for cases where a proper prior is necessary.
Polson, Nicholas G., Scott, James G.
core +3 more sources
Equations of States in Statistical Learning for a Nonparametrizable and Regular Case
, 2009 Many learning machines that have hierarchical structure or hidden variables are now being used in information science, artificial intelligence, and bioinformatics.
Watanabe, Sumio
core +1 more source
Sparse Portfolio selection via Bayesian Multiple testing
, 2020 We presented Bayesian portfolio selection strategy, via the $k$ factor asset pricing model. If the market is information efficient, the proposed strategy will mimic the market; otherwise, the strategy will outperform the market.
Das, Sourish, Sen, Rituparna
core
Bayesian Model Comparison in Genetic Association Analysis: Linear Mixed Modeling and SNP Set Testing [PDF]
, 2015 We consider the problems of hypothesis testing and model comparison under a flexible Bayesian linear regression model whose formulation is closely connected with the linear mixed effect model and the parametric models for SNP set analysis in genetic ...
Wen, Xiaoquan
core
Minimax Structured Normal Means Inference
, 2016 We provide a unified treatment of a broad class of noisy structure recovery problems, known as structured normal means problems. In this setting, the goal is to identify, from a finite collection of Gaussian distributions with different means, the ...
Krishnamurthy, Akshay
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Hierarchical Bayes prediction for the 2008 US Presidential election [PDF]
In this paper a procedure is developed to derive the predictive density function of a future observation for prediction in a multiple regression model under hierarchical priors for the vector parameter.
Bansal, Ashok, Sinha, Pankaj
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Bayes factors and the geometry of discrete hierarchical loglinear models
, 2011 A standard tool for model selection in a Bayesian framework is the Bayes factor which compares the marginal likelihood of the data under two given different models.
Letac, Gerard, Massam, Helene
core +3 more sources