A Robustified Posterior for Bayesian Inference on a Large Number of Parallel Effects
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Publication:5056961
DOI10.1080/00031305.2019.1701549OpenAlexW2991732787WikidataQ126529950 ScholiaQ126529950MaRDI QIDQ5056961
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Publication date: 14 December 2022
Published in: The American Statistician (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1806.10483
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- Extending the rank likelihood for semiparametric copula estimation
- Bayesian nonparametric inference -- why and how
- Comment on article by Müller and Mitra
- An empirical Bayes mixture method for effect size and false discovery rate estimation
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
- Low information omnibus (LIO) priors for Dirichlet process mixture models
- A nonparametric empirical Bayes framework for large-scale multiple testing
- Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen
- Bayesian empirical likelihood
- Bayesian Density Estimation and Inference Using Mixtures
- Robustifying Bayesian nonparametric mixtures for count data
- Spiked Dirichlet process prior for Bayesian multiple hypothesis testing in random effects models
- Comment on article by Müller and Mitra
- Comment on article by Müller and Mitra
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