ArticleStatistica Sinica2018
Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings.
Article in Statistica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- BAYESIAN EMPIRICAL LIKELIHOOD FOR ULTRA-HIGH DIMENSIONAL VARIABLE SELECTION WITH APPLICATION TO DRUG SENSITIVITY.The annals of applied statistics · 2026Article
- A three-groups non-local model for combining heterogeneous data sources to identify genes associated with Parkinson's disease.Biometrics · 2026Article
- Is Seeing Believing? A Practitioner's Perspective on High-Dimensional Statistical Inference in Cancer Genomics Studies.Entropy (Basel, Switzerland) · 2024Review
- Variable Selection in Bayesian Multiple Instance Regression using Shotgun Stochastic Search.Computational statistics & data analysis · 2024Article
- Genetic fine-mapping from summary data using a nonlocal prior improves the detection of multiple causal variants.Bioinformatics (Oxford, England) · 2023Article
- Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure.Journal of machine learning research : JMLR · 2022Article
- Bayesian Criterion Based Variable Selection.Journal of the Royal Statistical Society. Series C, Applied statistics · 2021Article
- Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis.Entropy (Basel, Switzerland) · 2020Article
- BAYESIAN VARIABLE SELECTION FOR SURVIVAL DATA USING INVERSE MOMENT PRIORS.The annals of applied statistics · 2020Article
- Bayesian Graphical Regression.Journal of the American Statistical Association · 2019Article
- Tractable Bayesian variable selection: beyond normality.Journal of the American Statistical Association · 2018Article
- NON-LOCAL PRIORS FOR HIGH-DIMENSIONAL ESTIMATION.Journal of the American Statistical Association · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Bayesian model selection procedures based on nonlocal alternative prior densities are extended to ultrahigh dimensional settings and compared to other variable selection procedures using precision-recall curves. Variable selection procedures included in these comparisons include methods based on
Indexed as
Identifiers
What OpenQuestion holds
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.