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Differentially Regulated Orthologs in Sorghum and the Subgenomes of Maize

The Plant cell, 2017-08, Vol.29 (8), p.1938-1951

2017

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Holistic and component plant phenotyping using temporal image sequence

Plant methods, 2018-05, Vol.14 (1), p.35-35, Article 35

2018

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Tracking Reproductivity of COVID-19 Epidemic in China with Varying Coefficient SIR Model

Journal of Data Science, 2021-01, Vol.18 (3), p.455-472

2021

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Real-World COVID-19 Vaccine Protection Rates against Infection in the Delta and Omicron Eras

Research (Washington), 2023, Vol.6, p.0099-0099

2023

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Minimax detection boundary and sharp optimal test for Gaussian graphical models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-03

2024

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Inference for nonparanormal partial correlation via regularized rank‐based nodewise regression

Biometrics, 2023-06, Vol.79 (2), p.1173-1186

2023

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Conventional and hyperspectral time-series imaging of maize lines widely used in field trials

Gigascience, 2018-02, Vol.7 (2), p.1-11

2018

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High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants

Plant phenomics, 2023, Vol.5, p.0052-0052

2023

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Functional Modeling of Plant Growth Dynamics

Plant phenome journal, 2018-01, Vol.1 (1), p.1-10

2018

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A High-Throughput Phenotyping Pipeline for Image Processing and Functional Growth Curve Analysis

Plant phenomics, 2020-01, Vol.2020, p.7481687-7481687

2020

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Inference for nonparanormal partial correlation via regularized rank-based nodewise regression

Biometrics, 2022-03

2022

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Inference for Nonparanormal Partial Correlation via Regularized Rank-Based Nodewise Regression

Biometrics, 2022-01, Vol.79 (2)

2022

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Test for bandedness of high-dimensional covariance matrices and bandwidth estimation

The Annals of statistics, 2012-06, Vol.40 (3)

2012

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KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes

Plant phenomics, 2021-01, Vol.2021, p.9805489-9805489

2021

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Sharp optimality for high-dimensional covariance testing under sparse signals

The Annals of statistics, 2023-10, Vol.51 (5), p.1921

2023

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Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding

Journal of econometrics, 2023-08, Vol.235 (2), p.1337-1354

2023

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Analysis of genetic and nongenetic factors influencing triglycerides-lowering drug effects based on paired observations

BMC proceedings, 2018-09, Vol.12 (Suppl 9), p.46-46, Article 46

2018

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Mean Tests For High-dimensional Time Series

Statistica Sinica, 2025

2025

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Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding

Journal of econometrics, 2022-11, Vol.235 (2)

2022

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From multivariate to functional data analysis: Fundamentals, recent developments, and emerging areas

Journal of multivariate analysis, 2022-03, Vol.188 (C), p.104806, Article 104806

2022

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TEST FOR BANDEDNESS OF HIGH-DIMENSIONAL COVARIANCE MATRICES AND BANDWIDTH ESTIMATION

The Annals of statistics, 2012-06, Vol.40 (3), p.1285-1314

2012

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Confidence regions for entries of a large precision matrix

Journal of econometrics, 2018-09, Vol.206 (1), p.57-82

2018

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DETECTING RARE AND FAINT SIGNALS VIA THRESHOLDING MAXIMUM LIKELIHOOD ESTIMATORS

The Annals of statistics, 2018-04, Vol.46 (2), p.895-923

2018

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Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis

Biometrical journal, 2021-08, Vol.63 (6), p.1325-1341

2021

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Bandwidth Selection for High-Dimensional Covariance Matrix Estimation

Journal of the American Statistical Association, 2015-09, Vol.110 (511), p.1160-1174

2015

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Differentially Regulated Orthologs in Sorghum and the Subgenomes of Maize

Holistic and component plant phenotyping using temporal image sequence

Tracking Reproductivity of COVID-19 Epidemic in China with Varying Coefficient SIR Model

Real-World COVID-19 Vaccine Protection Rates against Infection in the Delta and Omicron Eras

Minimax detection boundary and sharp optimal test for Gaussian graphical models

Inference for nonparanormal partial correlation via regularized rank‐based nodewise regression

Conventional and hyperspectral time-series imaging of maize lines widely used in field trials

High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants

Functional Modeling of Plant Growth Dynamics

A High-Throughput Phenotyping Pipeline for Image Processing and Functional Growth Curve Analysis

Inference for nonparanormal partial correlation via regularized rank-based nodewise regression

Inference for Nonparanormal Partial Correlation via Regularized Rank-Based Nodewise Regression

Test for bandedness of high-dimensional covariance matrices and bandwidth estimation

KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes

Sharp optimality for high-dimensional covariance testing under sparse signals

Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding

Analysis of genetic and nongenetic factors influencing triglycerides-lowering drug effects based on paired observations

Mean Tests For High-dimensional Time Series

Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding

From multivariate to functional data analysis: Fundamentals, recent developments, and emerging areas

TEST FOR BANDEDNESS OF HIGH-DIMENSIONAL COVARIANCE MATRICES AND BANDWIDTH ESTIMATION

Confidence regions for entries of a large precision matrix

DETECTING RARE AND FAINT SIGNALS VIA THRESHOLDING MAXIMUM LIKELIHOOD ESTIMATORS

Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis

Bandwidth Selection for High-Dimensional Covariance Matrix Estimation

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