Large‐scale multiple testing under dependence

No abstract is available for this paper.

• Publication year

  2009

• Venue

  Journal of the Royal Statistical Society: Series B (Statistical Methodology)

• Publication date

  2009-04-01

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1111/j.1467-9868.2008.00694.x
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis

  2008cited by this paper
• On false discovery control under dependence

  2008cited by this paper
• A hidden spatial-temporal Markov random field model for network-based analysis of time course gene expression data

  2008cited by this paper
• Some Results on the Control of the False Discovery Rate under Dependence

  2007cited by this paper
• False Discovery Rates for Spatial Signals

  2007cited by this paper
• The optimal discovery procedure: a new approach to simultaneous significance testing

  2007cited by this paper
• Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control

  2007cited by this paper
• Correlation and Large-Scale Simultaneous Significance Testing

  2007influential reference
• False discovery control with p-value weighting

  2006influential reference
• Controlling the False Discovery Rate: A New Application to Account for Multiple and Dependent Tests in Local Statistics of Spatial Association

  2006cited by this paper
• False discovery and false nondiscovery rates in single-step multiple testing procedures

  2006cited by this paper
• Variance of the number of false discoveries

  2005influential reference
• Correlation Between Gene Expression Levels and Limitations of the Empirical Bayes Methodology for Finding Differentially Expressed Genes

  2005cited by this paper
• Applied Linear Regression

  2005cited by this paper
• Large-Scale Simultaneous Hypothesis Testing

  2004cited by this paper
• Detecting differential gene expression with a semiparametric hierarchical mixture method.

  2004cited by this paper
• A stochastic process approach to false discovery control

  2004influential reference
• Penalized maximum likelihood estimator for normal mixtures

  2003cited by this paper
• Multiple hypotheses testing and expected number of type I. errors

  2002cited by this paper
• Hidden Markov processes

  2002cited by this paper
• Operating characteristics and extensions of the false discovery rate procedure

  2002influential reference
• A direct approach to false discovery rates

  2002cited by this paper
• Empirical Bayes Analysis of a Microarray Experiment

  2001cited by this paper
• THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY

  2001cited by this paper
• On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics

  2000cited by this paper
• Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics

  1999cited by this paper
• Monitoring epidemiologic surveillance data using hidden Markov models.

  1999cited by this paper
• Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models

  1998influential reference
• Asymptotic Statistics: Frontmatter

  1998cited by this paper
• Inference in hidden Markov models I: Local asymptotic normality in the stationary case

  1996cited by this paper
• A Smooth Nonparametric Estimate of a Mixing Distribution Using Mixtures of Gaussians

  1996cited by this paper
• Controlling the false discovery rate: a practical and powerful approach to multiple testing

  1995influential reference
• Order estimation and sequential universal data compression of a hidden Markov source by the method of mixtures

  1994cited by this paper
• Hidden Markov models in computational biology. Applications to protein modeling.

  1993cited by this paper
• Strongly consistent code-based identification and order estimation for constrained finite-state model classes

  1993cited by this paper
• Hidden Markov Chains and the Analysis of Genome Structure

  1992cited by this paper
• Maximum-likelihood estimation for hidden Markov models

  1992influential reference
• A tutorial on hidden Markov models and selected applications in speech recognition

  1989cited by this paper
• Asymptotically Subminimax Solutions of Compound Statistical Decision Problems

  1985cited by this paper
• A Constrained Formulation of Maximum-Likelihood Estimation for Normal Mixture Distributions

  1985cited by this paper
• Applied Linear Regression.

  1981cited by this paper
• On Symmetric Compound Decision Rules for Dichotomies

  1974cited by this paper
• Testing Transformations to Normality

  1973cited by this paper
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

  1970cited by this paper
• Statistical Inference for Probabilistic Functions of Finite State Markov Chains

  1966cited by this paper
• An analysis of transformations (with discussion)

  1964cited by this paper
• Mathematical Statistics and Probability

  1962cited by this paper
• CONSISTENCY OF THE MAXIMUM LIKELIHOOD ESTIMATOR IN THE PRESENCE OF INFINITELY MANY INCIDENTAL PARAMETERS

  1956cited by this paper

• Multiple Testing for Spatial Extremes with Application to Reanalysis Data Evaluation

  2026cites this paper
• A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data

  2025influential citation
• DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference

  2025cites this paper
• Enhancing operational decision-making in fault diagnosis for high-dimensional data streams with auxiliary information

  2025cites this paper
• Sharp Asymptotic Minimaxity for Multiple Testing Using One-Group Shrinkage Priors

  2025cites this paper
• CONSTRUCTING GENE REGULATORY NETWORK USING CHATTERJEE'S RANK CORRELATION WITH SINGLE-CELL TRANSCRIPTOMIC DATA

  2025cites this paper
• Decision Theory For Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR

  2025cites this paper
• Directional False Discovery Rate Control in Large‐Scale Multiple Testing Under Data Dependence

  2025cites this paper
• Controlling the false discovery rate in high-dimensional linear models using model-X knockoffs and $p$-values

  2025cites this paper
• Empirical Bayes Method for Large Scale Multiple Testing with Heteroscedastic Errors

  2025cites this paper
• Inference for microbe--metabolite association networks using a latent graph model

  2025cites this paper
• Asymptotic Bayes’ optimality under sparsity for exchangeable dependent multivariate normal test statistics

  2024cites this paper
• Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure

  2024cites this paper
• Control of false discoveries in grouped hypothesis testing for eQTL data

  2024cites this paper
• FWER for normal distribution in nearly independent setup

  2024cites this paper
• Simultaneous optimal control of directional missed discovery rates in data stream diagnosis

  2024cites this paper
• Large-scale dependent multiple testing via higher-order hidden Markov models

  2024influential citation
• Estimation of Proportion of Null Hypotheses Under Dependence

  2024cites this paper
• Directional false discovery rate control in large-scale multiple comparisons

  2024cites this paper
• Asymptotic uncertainty of false discovery proportion.

  2024cites this paper
• A powerful approach to identify replicable variants in genome-wide association studies.

  2024cites this paper
• Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data

  2024cites this paper
• Double truncation method for controlling local false discovery rate in case of spiky null

  2024cites this paper
• Large-scale dependent multiple testing via hidden semi-Markov models

  2023influential citation
• Directional fault classification for correlated High-Dimensional data streams using hidden Markov models

  2023cites this paper
• Large-scale adaptive multiple testing for sequential data controlling false discovery and nondiscovery rates

  2023cites this paper
• Covariate-modulated large-scale multiple testing under dependence

  2023cites this paper
• Correction Factor of FWER for Normal Distribution in Nearly Independent Setup

  2023cites this paper
• A powerful replicability analysis of genome-wide association studies

  2023cites this paper
• Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence

  2023cites this paper
• False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values

  2023cites this paper
• Max-Rank: Efficient Multiple Testing for Conformal Prediction

  2023influential citation
• STRAW: Structure-Adaptive Weighting Procedure for Large-Scale Spatial Multiple Testing

  2023cites this paper
• Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal

  2023cites this paper
• Large-scale Multiple Testing: Fundamental Limits of False Discovery Rate Control and Compound Oracle

  2023cites this paper
• Change-point testing for parallel data sets with FDR control

  2023cites this paper
• Optimal test procedures for multiple hypotheses controlling the familywise expected loss

  2023cites this paper
• Selective inference for false discovery proportion in a hidden Markov model

  2023cites this paper
• DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data

  2023influential citation
• Optimal test statistic under normality assumption

  2023cites this paper
• On Asymptotic Behaviors of Stepwise Multiple Testing Procedures

  2022cites this paper
• Multiple multi‐sample testing under arbitrary covariance dependency

  2022influential citation
• Large-scale multiple testing via multivariate hidden Markov models

  2022influential citation
• False discovery rate control with unknown null distribution: Is it possible to mimic the oracle?

  2022cites this paper
• ASYMPTOTIC BEHAVIOUR OF STEPWISE FWER-CONTROLLING PROCEDURES

  2022cites this paper
• Inference with approximate local false discovery rates.

  2022cites this paper
• Behavior of FWER in Normal Distributions

  2022cites this paper
• Multiple testing in genome-wide association studies via hierarchical hidden Markov models

  2022cites this paper
• Semi-parametric hidden Markov model for large-scale multiple testing under dependency

  2022influential citation
• A Bayesian framework for genome-wide inference of DNA methylation levels

  2022cites this paper
• Asymptotic Uncertainty of False Discovery Proportion

  2022cites this paper
• Large‐scale covariate‐assisted two‐sample inference under dependence

  2022influential citation
• Unsupervized identification of prognostic copy-number alterations using segmentation and lasso regularization

  2022cites this paper
• Asymptotic Uncertainty of False Discovery Proportion for Dependent $t$-Tests

  2022cites this paper
• Asymptotic bayes optimality under sparsity for equicorrelated multivariate normal test statistics

  2022cites this paper
• Powerful multiple testing of paired null hypotheses using a latent graph model

  2022influential citation
• GMM-based procedure for multiple hypotheses testing

  2022cites this paper
• Robust Behrens–Fisher Statistic Based on Trimmed Means and Its Usefulness in Analyzing High-Throughput Data

  2022cites this paper
• An improvement of FDR for edge detection by applying EM method

  2022cites this paper
• Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data

  2022cites this paper
• Machine learning meets false discovery rate

  2022cites this paper
• Fundamental Limits for Learning Hidden Markov Model Parameters

  2021cites this paper
• Quantile Correlation-based Variable Selection

  2021cites this paper
• Kernel Knockoffs Selection for Nonparametric Additive Models

  2021cites this paper
• FWER goes to zero for correlated normal

  2021cites this paper
• An Empirical Bayes Approach to Controlling the False Discovery Exceedance

  2021cites this paper
• Empirical Bayes cumulative $\ell$-value multiple testing procedure for sparse sequences

  2021cites this paper
• Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach

  2021influential citation
• Distance Assisted Recursive Testing

  2021cites this paper
• Automated and Distributed Statistical Analysis of Economic Agent-Based Models

  2021cites this paper
• Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models

  2021cites this paper
• Empirical Bayes Control of the False Discovery Exceedance

  2021cites this paper
• Using prior information to boost power in correlation structure support recovery

  2021cites this paper
• Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams

  2021cites this paper
• Sharp multiple testing boundary for sparse sequences

  2021cites this paper
• Improved Shrinkage Prediction under a Spiked Covariance Structure

  2021cites this paper
• Semi-supervised multiple testing

  2021cites this paper
• Post hoc false discovery proportion inference under a Hidden Markov Model

  2021influential citation
• Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease

  2021cites this paper
• Error rate control for classification rules in multiclass mixture models

  2021cites this paper
• Two-stage false discovery rate in microarray studies

  2020cites this paper
• Conditional calibration for false discovery rate control under dependence

  2020cites this paper
• A factor-adjusted multiple testing of general alternatives

  2020cites this paper
• False discovery rate envelopes

  2020cites this paper
• Detection of Local Differences in Spatial Characteristics Between Two Spatiotemporal Random Fields

  2020cites this paper
• High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification

  2020influential citation
• Using Copula to Model Dependence When Testing Multiple Hypotheses in DNA Microarray Experiments: A Bayesian Approximation

  2020cites this paper
• A spatio-temporal hierarchical Markov switching model for the early detection of influenza outbreaks

  2020cites this paper
• Comparison of methods for the proportion of true null hypotheses in microarray studie

  2020influential citation
• Asymptotically optimal test for dependent multiple testing set up

  2020cites this paper
• False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation

  2020cites this paper
• Effect-Size Estimation Using Semiparametric Hierarchical Mixture Models in Disease-Association Studies with Neuroimaging Data

  2020cites this paper
• LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing

  2020cites this paper
• Large-Scale Shrinkage Estimation under Markovian Dependence

  2020cites this paper
• GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference

  2020cites this paper
• Hidden Markov model in multiple testing on dependent count data

  2020influential citation
• A Bottom-Up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, With Error Rate Control

  2020cites this paper
• Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry Data and Sleep Analysis

  2020cites this paper
• A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control

  2019cites this paper
• Optimal control of false discovery criteria in the two‐group model

  2019cites this paper