Large‐scale signal detection: A unified perspective

DOI10.1111/biom.12423zbMath1419.62413arXiv1507.08727OpenAlexW2963074082WikidataQ38957020 ScholiaQ38957020MaRDI QIDQ5739254

Subhadeep Mukhopadhyay

Publication date: 15 July 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.08727

zbMATH Keywords

false discovery rateRKHStail modelingcomparison densitymixed-sample problempreflattening smoothingskew-beta density decompositionsmooth \(p\)-value

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Empirical decision procedures; empirical Bayes procedures (62C12) Paired and multiple comparisons; multiple testing (62J15)

Related Items (2)

Decentralized nonparametric multiple testing ⋮ Exhaustive Goodness of Fit Via Smoothed Inference and Graphics

Uses Software

• mixfdr
• fdrtool

Cites Work

• Unnamed Item
• Unnamed Item
• Probit transformation for kernel density estimation on the unit interval
• Comment: ``Microarrays, empirical Bayes and the two-groups model
• An empirical Bayes mixture method for effect size and false discovery rate estimation
• An adaptive orthogonal-series estimator for probability density functions
• Higher criticism for detecting sparse heterogeneous mixtures.
• Size, power and false discovery rates
• Simultaneous and selective inference: Current successes and future challenges
• Data-Driven Version of Neyman's Smooth Test of Fit
• Empirical Bayes Analysis of a Microarray Experiment
• A Direct Approach to False Discovery Rates
• The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
• An Improved Transformation-Based Kernel Estimator of Densities on the Unit Interval
• Large-Scale Simultaneous Hypothesis Testing
• Comments on: Augmenting the bootstrap to analyze high dimensional genomic data

This page was built for publication: Large‐scale signal detection: A unified perspective