Shotgun Stochastic Search for “Large p” Regression

No abstract is available for this paper.

• Publication year

  2007

• Venue

  Journal of the American Statistical Association

• Publication date

  2007-06-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1198/016214507000000121
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Journal of the American Statistical Association is currently published by American Statistical Association.

  2007cited by this paper
• Bayesian Model Selection

  2006cited by this paper
• Gene Expression Profiles of Multiple Breast Cancer Phenotypes and Response to Neoadjuvant Chemotherapy

  2006cited by this paper
• Bayesian Variable Selection in Clustering High-Dimensional Data

  2005cited by this paper
• Gene expression profiling and genetic markers in glioblastoma survival.

  2005cited by this paper
• Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes.

  2004cited by this paper
• Gene expression profiling for prediction of clinical characteristics of breast cancer.

  2003cited by this paper
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data.

  2003cited by this paper
• Gene expression predictors of breast cancer outcomes.

  2003cited by this paper
• Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction.

  2003cited by this paper
• Summaries of Affymetrix GeneChip probe level data.

  2003cited by this paper
• Model Uncertainty

  2003cited by this paper
• Efficient estimation of covariance selection models

  2003cited by this paper
• Three-step censored quantile regression and extramarital affairs, J. Amer. Statist. Assoc., Journal of the American Statistical Association

  2002cited by this paper
• Predicting the clinical status of human breast cancer by using gene expression profiles

  2001influential reference
• Regressions by Leaps and Bounds

  2000cited by this paper
• Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions

  1999cited by this paper
• Multivariate Bayesian variable selection and prediction

  1998cited by this paper
• Bayesian CART Model Search

  1998cited by this paper
• Bayesian wavelength selection in multicomponent analysis

  1998cited by this paper
• Computing Bayes Factors by Combining Simulation and Asymptotic Approximations

  1997cited by this paper
• APPROACHES FOR BAYESIAN VARIABLE SELECTION

  1997cited by this paper
• A Bayesian approach to nonparametric bivariate regression

  1997cited by this paper
• Bayesian Mode Regression

  1997cited by this paper
• Nonparametric regression using Bayesian variable selection

  1996cited by this paper
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination

  1995cited by this paper
• Bayesian Model Selection in Social Research

  1995cited by this paper
• Bayesian Graphical Models for Discrete Data

  1995cited by this paper
• Variable selection and model comparison in regression

  1994cited by this paper
• Sampling-Based Approaches to Calculating Marginal Densities

  1990cited by this paper
• The analysis and selection of variables in linear regression

  1976cited by this paper
• © Institute of Mathematical Statistics, 2005 Experiments in Stochastic Computation for High-Dimensional Graphical Models

  year unknowncited by this paper
• Exploration, Normalization, and Summaries of High Density Oligonucleotide Array Probe Level Data

  year unknowncited by this paper

• FINEMAP-miss: fine-mapping genome-wide association studies with missing genotype information

  2025cites this paper
• Rainfall timing, forage growth, and insuring forage: Linking producer perceptions to observational data

  2025cites this paper
• Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data

  2025cites this paper
• Bayesian Variable Selection Under High-Dimensional Settings with Grouped Covariates

  2025cites this paper
• Fast bayesian variable screening using correlation thresholds

  2025cites this paper
• Posterior model consistency in high-dimensional Bayesian variable selection with arbitrary priors

  2025cites this paper
• Bayesian Functional Region Selection

  2025cites this paper
• Fine-mapping methods for complex traits: essential adaptations for samples of related individuals

  2025cites this paper
• Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression

  2025cites this paper
• Fine-mapping in admixed populations using CARMA-X, with applications to Latin American studies.

  2025cites this paper
• Advances in Bayesian model selection consistency for high-dimensional generalized linear models

  2025cites this paper
• Toward Variational Structural Learning of Bayesian Networks

  2025cites this paper
• Bayesian Markov-Switching Partial Reduced-Rank Regression

  2025cites this paper
• Probabilistic Spike Train Inference

  2024cites this paper
• Expressing and Visualizing Model Uncertainty in Bayesian Variable Selection Using Cartesian Credible Sets

  2024cites this paper
• Bayesian Partial Reduced-Rank Regression

  2024cites this paper
• Automated Bayesian variable selection methods for binary regression models with missing covariate data

  2024cites this paper
• Variable selection in Bayesian multiple instance regression using shotgun stochastic search

  2024cites this paper
• BEATRICE: Bayesian fine-mapping from summary data using deep variational inference

  2024cites this paper
• Consistent group selection using nonlocal priors in regression

  2023cites this paper
• BEATRICE: Bayesian Fine-mapping from Summary Data using Deep Variational Inference

  2023cites this paper
• CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses

  2023cites this paper
• From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior

  2023cites this paper
• SCALABLE MODEL SELECTION WITH MIXTURES OF G-PRIORS IN LARGE DATA SETTINGS

  2023cites this paper
• Bayesian Spike Train Inference via Non-Local Priors

  2023cites this paper
• Finemap-MiXeR: A variational Bayesian approach for genetic finemapping

  2023cites this paper
• Highest Posterior Model Computation and Variable Selection via Simulated Annealing

  2023cites this paper
• Post Hotelling's T-square procedure to identify fault variables

  2023cites this paper
• Genome-wide analysis of individual coding variants and HLA-II-associated self-immunopeptidomes in ulcerative colitis

  2023cites this paper
• On the Computational Complexity of Private High-dimensional Model Selection via the Exponential Mechanism

  2023influential citation
• Genome-wide analysis of individual coding variants and HLA-II-associated self-immunopeptidomes in ulcerative colitis

  2023cites this paper
• Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models

  2023cites this paper
• A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior

  2023cites this paper
• Gibbs Sampling Using Anti-Correlation Gaussian Data Augmentation, with Applications to L1-Ball-Type Models

  2023cites this paper
• Bayesian Inference on Hierarchical Nonlocal Priors in Generalized Linear Models

  2022cites this paper
• An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression

  2022cites this paper
• SMetABF: A rapid algorithm for Bayesian GWAS meta-analysis with a large number of studies included

  2022cites this paper
• Application of Metaheuristic Approaches for the Variable Selection Problem

  2022cites this paper
• Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors

  2022cites this paper
• Scalable Spike-and-Slab

  2022cites this paper
• CARMA: Novel Bayesian model for fine-mapping in meta-analysis studies

  2022cites this paper
• A unifying statistical framework to discover disease genes from GWASs

  2022cites this paper
• Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach*

  2022cites this paper
• Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems

  2022cites this paper
• Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits—The Hispanic/Latino Anthropometry Consortium

  2021cites this paper
• Bounding Wasserstein Distance with Couplings

  2021cites this paper
• Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction

  2021cites this paper
• Bayesian iterative screening in ultra-high dimensional settings

  2021cites this paper
• Bayesian Iterative Screening in Ultra-high Dimensional Linear Regressions

  2021cites this paper
• Strong selection consistency of Bayesian vector autoregressive models based on a pseudo-likelihood approach

  2021cites this paper
• Dimension‐free mixing for high‐dimensional Bayesian variable selection

  2021cites this paper
• Empirical Bayes Model Averaging with Influential Observations: Tuning Zellner’s g Prior for Predictive Robustness

  2021cites this paper
• LSB: Local Self-Balancing MCMC in Discrete Spaces

  2021cites this paper
• Polygenic basis and biomedical consequences of telomere length variation

  2021cites this paper
• Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection

  2021cites this paper
• The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models

  2021cites this paper
• Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis

  2020cites this paper
• Integrative Genetics Analysis of Juvenile Idiopathic Arthritis Identifies Novel Loci

  2020cites this paper
• Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO

  2020cites this paper
• Markov Neighborhood Regression for High-Dimensional Inference

  2020cites this paper
• The Parkinson's Disease Genome‐Wide Association Study Locus Browser

  2020cites this paper
• Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization

  2020cites this paper
• Making causal inferences about treatment effect sizes from observational datasets

  2020cites this paper
• Consistent Group Selection with Bayesian High Dimensional Modeling

  2020influential citation
• A fully Bayesian approach to sparse reduced-rank multivariate regression

  2020cites this paper
• High-throughput multivariable Mendelian randomization analysis prioritizes apolipoprotein B as key lipid risk factor for coronary artery disease

  2020cites this paper
• Examination of Feature Selection Methods and an Application

  2020cites this paper
• Using Stability to Select a Shrinkage Method

  2020cites this paper
• Bayesian causal inference with some invalid instrumental variables.

  2020cites this paper
• Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings

  2020influential citation
• Bayesian Variable Selection

  2020cites this paper
• Statistical modeling methods: challenges and strategies

  2020cites this paper
• Bayesian model selection for high-dimensional data

  2020cites this paper
• Subset Selection in High-Dimensional Genomic Data using Hybrid Variational Bayes and Bootstrap priors

  2020cites this paper
• The Parkinson’s Disease GWAS Locus Browser

  2020cites this paper
• Discriminatory Expressions to Improve Model Comprehensibility in Short Documents

  2020cites this paper
• Variable selection for linear regression in large databases: exact methods

  2020cites this paper
• An age-independent gene signature for monitoring acute rejection in kidney transplantation

  2020cites this paper
• Bayesian selection of best subsets via hybrid search

  2020cites this paper
• Discriminatory Expressions to Produce Interpretable Models in Microblogging Context

  2020cites this paper
• Multi-scale shotgun stochastic search for large spatial datasets

  2020influential citation
• Distributed Computation for Marginal Likelihood based Model Choice

  2019cites this paper
• Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions

  2019cites this paper
• Economic variable selection

  2019cites this paper
• Fourth paradigm GIScience? Prospects for automated discovery and explanation from data

  2019cites this paper
• Assessing causal links between metabolic traits, inflammation and schizophrenia: a univariable and multivariable, bidirectional Mendelian-randomization study

  2019cites this paper
• Bayesian Methods for Gene Expression Analysis

  2019cites this paper
• Machine learning approaches and their current application in plant molecular biology: A systematic review.

  2019cites this paper
• Bayesian Model Selection with Graph Structured Sparsity

  2019cites this paper
• High-dimensional variable selection via low-dimensional adaptive learning

  2019cites this paper
• Unraveling the Exposome: A Practical View

  2019cites this paper
• Partition Weighted Approach For Estimating the Marginal Posterior Density With Applications

  2019cites this paper
• Distributed Bayesian Computation for Model Choice

  2019cites this paper
• Bayesian Variable Selection for Gaussian Copula Regression Models

  2019cites this paper
• Searching the Factor Zoo

  2019cites this paper
• Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection

  2018cites this paper
• Refining fine-mapping: Effect sizes and regional heritability

  2018cites this paper
• Continuous-Time Models of Arrival Times and Optimization Methods for Variable Selection

  2018cites this paper
• Trans-study projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer

  2018influential citation
• Searching the Factor Zoo This version : January 2018

  2018cites this paper