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Nearly optimal Bayesian shrinkage for high-dimensional regression

Science China. Mathematics, 2023-02, Vol.66 (2), p.409-442

2023

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Effects of repeated local heat therapy on skeletal muscle structure and function in humans

Journal of applied physiology (1985), 2020-03, Vol.128 (3), p.483-492

2020

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Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data

Journal of the American Statistical Association, 2013-03, Vol.108 (501), p.325-339

2013

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Heat therapy promotes the expression of angiogenic regulators in human skeletal muscle

American journal of physiology. Regulatory, integrative and comparative physiology, 2016-08, Vol.311 (2), p.R377-R391

2016

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Modulating Gastrointestinal Microbiota in Preweaning Dairy Calves: Dose-Dependent Effects of Milk-Based Sodium Butyrate Supplementation

Microorganisms (Basel), 2024-02, Vol.12 (2), p.333

2024

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split‐and‐merge Bayesian variable selection approach for ultrahigh dimensional regression

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2015-11, Vol.77 (5), p.947-972

2015

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Color image restoration based on saturation-value total variation plus L1 fidelity

Inverse problems, 2022-08, Vol.38 (8), p.85009

2022

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High-Dimensional Variable Selection With Reciprocal L1-Regularization

Journal of the American Statistical Association, 2015-10, Vol.110 (512), p.1607-1620

2015

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Bayesian shrinkage towards sharp minimaxity

Electronic journal of statistics, 2020-01, Vol.14 (2)

Song, Qifan

2020

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Color image restoration based on saturation-value total variation plus L1 fidelity Wang is supported by Natural Science Foundation of Shanghai (18ZR1441800, 22ZR1465300) and the Fundamental Research Funds for the Central Universities

Inverse problems, 2022-07, Vol.38 (8)

2022

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Optimal false discovery control of minimax estimators

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2023-08, Vol.29 (3)

2023

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Consistent Sparse Deep Learning: Theory and Computation

Journal of the American Statistical Association, 2022-10, Vol.117 (540), p.1981-1995

2022

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High-Dimensional Variable Selection With Reciprocal L 1 -Regularization

Journal of the American Statistical Association, 2015-12, Vol.110 (512), p.1607-1620

2015

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An overview of reciprocal L1‐regularization for high dimensional regression data

Wiley interdisciplinary reviews. Computational statistics, 2018-01, Vol.10 (1), p.e1416-n/a

Song, Qifan

2018

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Acute effects of leg heat therapy on walking performance and cardiovascular and inflammatory responses to exercise in patients with peripheral artery disease

Physiological reports, 2021-01, Vol.8 (24), p.e14650-n/a

2021

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An overview of reciprocal L 1 ‐regularization for high dimensional regression data

Wiley interdisciplinary reviews. Computational statistics, 2018-01, Vol.10 (1)

Song, Qifan

2018

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A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules

Statistica Sinica, 2025

2025

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A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning

Statistica Sinica, 2024-04

2024

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Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models

Journal of the American Statistical Association, 2015-09, Vol.110 (511), p.1248-1265

2015

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Bayesian Subset Modeling for High-Dimensional Generalized Linear Models

Journal of the American Statistical Association, 2013-06, Vol.108 (502), p.589-606

2013

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Bayesian Fusion Estimation via t Shrinkage

Sankhya. Series. A, 2020-08, Vol.82 (2), p.353-385

2020

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Learning sparse deep neural networks with a spike-and-slab prior

Statistics & probability letters, 2022-01, Vol.180, p.109246, Article 109246

2022

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Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory

Journal of computational and graphical statistics, 2024-09, p.1-10

2024

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High-Dimensional Variable Selection With Reciprocal Lsub 1-Regularization

Journal of the American Statistical Association, 2015-12, Vol.110 (512), p.1607-1607

2015

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High-Dimensional Variable Selection With Reciprocal L^sub 1^-Regularization

Journal of the American Statistical Association, 2015-12, Vol.110 (512), p.1607

2015

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Nearly optimal Bayesian shrinkage for high-dimensional regression

Effects of repeated local heat therapy on skeletal muscle structure and function in humans

Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data

Heat therapy promotes the expression of angiogenic regulators in human skeletal muscle

Modulating Gastrointestinal Microbiota in Preweaning Dairy Calves: Dose-Dependent Effects of Milk-Based Sodium Butyrate Supplementation

split‐and‐merge Bayesian variable selection approach for ultrahigh dimensional regression

Color image restoration based on saturation-value total variation plus L1 fidelity

High-Dimensional Variable Selection With Reciprocal L1-Regularization

Bayesian shrinkage towards sharp minimaxity

Color image restoration based on saturation-value total variation plus L1 fidelity Wang is supported by Natural Science Foundation of Shanghai (18ZR1441800, 22ZR1465300) and the Fundamental Research Funds for the Central Universities

Optimal false discovery control of minimax estimators

Consistent Sparse Deep Learning: Theory and Computation

High-Dimensional Variable Selection With Reciprocal L 1 -Regularization

An overview of reciprocal L1‐regularization for high dimensional regression data

Acute effects of leg heat therapy on walking performance and cardiovascular and inflammatory responses to exercise in patients with peripheral artery disease

An overview of reciprocal L 1 ‐regularization for high dimensional regression data

A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules

A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning

Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models

Bayesian Subset Modeling for High-Dimensional Generalized Linear Models

Bayesian Fusion Estimation via t Shrinkage

Learning sparse deep neural networks with a spike-and-slab prior

Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory

High-Dimensional Variable Selection With Reciprocal Lsub 1-Regularization

High-Dimensional Variable Selection With Reciprocal L^sub 1^-Regularization

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