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Data Fission: Splitting a Single Data Point

Journal of the American Statistical Association, 2023-12, p.1-12

2023

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Feature-weighted elastic net: using "features of features" for better prediction

Statistica Sinica, 2023-01, Vol.33 (1), p.259-279

2023

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CALIBRATING NONCONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION

The Annals of statistics, 2013-10, Vol.41 (5), p.2505-2536

2013

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Comparison of variable selection algorithms on vis-NIR hyperspectral imaging spectra for quantitative monitoring and visualization of bacterial foodborne pathogens in fresh pork muscles

Infrared physics & technology, 2020-06, Vol.107, p.103327, Article 103327

2020

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Practical variable selection for generalized additive models

Computational statistics & data analysis, 2011-07, Vol.55 (7), p.2372-2387

2011

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Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease

Statistics in medicine, 2020-10, Vol.39 (23), p.3120-3134

2020

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Principled sure independence screening for Cox models with ultra-high-dimensional covariates

Journal of multivariate analysis, 2012-02, Vol.105 (1), p.397-411

2012

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Scalable importance tempering and Bayesian variable selection

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-07, Vol.81 (3), p.489-517

2019

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Regression Kink With an Unknown Threshold

Journal of business & economic statistics, 2017-04, Vol.35 (2), p.228-240

Hansen, Bruce E.

2017

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Variable selection, monotone likelihood ratio and group sparsity

The Annals of statistics, 2023-02, Vol.51 (1), p.312-333

2023

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Scalable Algorithms for Large Competing Risks Data

Journal of computational and graphical statistics, 2021-09, Vol.30 (3), p.685-693

2021

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Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies

Journal of the American Statistical Association, 2022-09, Vol.117 (539), p.1282-1295

2022

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Multiobjective reservoir operating rules based on cascade reservoir input variable selection method

Water resources research, 2017-04, Vol.53 (4), p.3446-3463

2017

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Ultrahigh‐dimensional generalized additive model: Unified theory and methods

Scandinavian journal of statistics, 2022-09, Vol.49 (3), p.917-942

2022

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Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models

Statistica Sinica, 2023-01

Imori, Shinpei

2023

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Scalable Bayesian Variable Selection for Structured High-Dimensional Data

Biometrics, 2018-12, Vol.74 (4), p.1372-1382

2018

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Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data

Energy economics, 2023-04, Vol.120, p.106621, Article 106621

2023

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Bayesian group bridge for bi-level variable selection

Computational statistics & data analysis, 2017-06, Vol.110, p.115-133

2017

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The Estimation of Compensating Wage Differentials: Lessons From the Deadliest Catch

Journal of business & economic statistics, 2020-01, Vol.38 (1), p.165-182

Lavetti, Kurt

2020

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Variable selection in infinite-dimensional problems

Statistics & probability letters, 2014-11, Vol.94, p.12-20

2014

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Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners

Journal of computational and graphical statistics, 2023-07, Vol.32 (3), p.1046-1059

2023

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Group variable selection in the Andersen–Gill model for recurrent event data

Journal of statistical planning and inference, 2020-07, Vol.207, p.99-112

2020

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Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology

Psychometrika, 2023-09, Vol.88 (3), p.1032-1055

2023

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Stochastic model specification search for Gaussian and partial non-Gaussian state space models

Econometrics, 2010-01, Vol.154 (1), p.85-100

2010

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High dimensional data challenges in estimating multiple linear regression

Journal of physics. Conference series, 2020-07, Vol.1591 (1), p.12035

Hussain, Jassim N

2020

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Data Fission: Splitting a Single Data Point

Feature-weighted elastic net: using "features of features" for better prediction

CALIBRATING NONCONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION

Comparison of variable selection algorithms on vis-NIR hyperspectral imaging spectra for quantitative monitoring and visualization of bacterial foodborne pathogens in fresh pork muscles

Practical variable selection for generalized additive models

Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease

Principled sure independence screening for Cox models with ultra-high-dimensional covariates

Scalable importance tempering and Bayesian variable selection

Regression Kink With an Unknown Threshold

Variable selection, monotone likelihood ratio and group sparsity

Scalable Algorithms for Large Competing Risks Data

Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies

Multiobjective reservoir operating rules based on cascade reservoir input variable selection method

Ultrahigh‐dimensional generalized additive model: Unified theory and methods

Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models

Scalable Bayesian Variable Selection for Structured High-Dimensional Data

Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data

Bayesian group bridge for bi-level variable selection

The Estimation of Compensating Wage Differentials: Lessons From the Deadliest Catch

Variable selection in infinite-dimensional problems

Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners

Group variable selection in the Andersen–Gill model for recurrent event data

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology

Stochastic model specification search for Gaussian and partial non-Gaussian state space models

High dimensional data challenges in estimating multiple linear regression

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