ArticleJournal of the American Statistical Association2017
NON-LOCAL PRIORS FOR HIGH-DIMENSIONAL ESTIMATION.
Article in Journal of the American Statistical Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- Bayesian multi-study non-negative matrix factorization for mutational signatures.Genome biology · 2025Article
- BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data.BMC bioinformatics · 2023Article
- Genetic fine-mapping from summary data using a nonlocal prior improves the detection of multiple causal variants.Bioinformatics (Oxford, England) · 2023Article
- Bayes factor functions for reporting outcomes of hypothesis tests.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Big data forecasting of South African inflation.Empirical economics · 2022Article
- Prior Knowledge Guided Ultra-high Dimensional Variable Screening with Application to Neuroimaging Data.Statistica Sinica · 2022Article
- Comparing methods for statistical inference with model uncertainty.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure.Journal of machine learning research : JMLR · 2022Article
- Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects.Journal of the Royal Statistical Society. Series C, Applied statistics · 2021Article
- Two-group Poisson-Dirichlet mixtures for multiple testing.Biometrics · 2021Article
- Bayesian Factor Analysis for Inference on Interactions.Journal of the American Statistical Association · 2021Article
- Article
- GWASinlps: non-local prior based iterative SNP selection tool for genome-wide association studies.Bioinformatics (Oxford, England) · 2019Article
- Bayesian Graphical Regression.Journal of the American Statistical Association · 2019Article
- Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings.Statistica Sinica · 2018Article
- Bayesian graphical models for computational network biology.BMC bioinformatics · 2018Article
- Tractable Bayesian variable selection: beyond normality.Journal of the American Statistical Association · 2018Article
- Bayesian block-diagonal variable selection and model averaging.Biometrika · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Jointly achieving parsimony and good predictive power in high dimensions is a main challenge in statistics. Non-local priors (NLPs) possess appealing properties for model choice, but their use for estimation has not been studied in detail. We show that for regular models NLP-based Bayesian model averaging (BMA) shrink spurious parameters either at fast polynomial or quasi-exponential rates as the sample size
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.