Matthew Reimherr

Associate Professor of Statistics

Matthew Reimherr

Huck Affiliations

Publication Tags

Testing Monte Carlo Simulation Time Series Phenotype Longitudinal Data Methodology Principal Components Screening Genome Asthma Genotype Performance Simulation Study Obesity Genomics Autoregressive Model Predictors Feature Selection Project Management Polymorphism Separability Demonstrate Empirical Analysis Functional Model Single Nucleotide Polymorphism

Most Recent Papers

Feature Screening for Time-Varying Coefficient Models with Ultrahigh Dimensional Longitudinal Data

Wanghuan Chu, Runze Li, Matthew Reimherr, The Annals of Applied Statistics on p. 596-617

Discussion of A General Framework for Regression Modelling

Piotr Kokoszka, Matthew Reimherr, Statistical Modelling on p. 45-49

Wender Utah Rating Scale

Thomas E. Gift, Matthew L. Reimherr, Barrie K. Marchant, Tammy A. Steans, Frederick W. Reimherr, 2021, Journal of Psychiatric Research on p. 181-188

Types of adult attention-deficit/hyperactivity disorder: A replication analysis

Frederick W. Reimherr, Michael Roesler, Barrie K. Marchant, Thomas E. Gift, Wolfgang Retz, Florence Philipp-Wiegmann, Matthew L. Reimherr, 2020, Journal of Clinical Psychiatry

Feature selection for generalized varying coefficient mixed-effect models with application to obesity gwas

Wanghuan Chu, Runze Li, Jingyuan Liu, Matthew Reimherr, 2020, Annals of Applied Statistics on p. 276-298

Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data

Jeremy Seeman, A Slavkovic, Matthew Reimherr, 2020, on p. 323-336

Formal Privacy for Modern Nonparametric Statistics

Jordan Awan, Matthew Reimherr, Slavkovi\'c, Aleksandra, 2020, CHANCE on p. 43--49

Modern Multiple Imputation with Functional Data

Aniruddha Rao, Matthew Reimherr, 2020, Stat on p. e331

Simultaneous Inference for Function-valued Parameters: a Fast and Fair Approach

Dominik Liebl, Matthew Reimherr, 2020, on p. 153--159

Private Posterior Inference Consistent with Public Information

Jeremy Seeman, Aleksandra Slavkovic, Matthew Reimherr, 2020, on p. 323-336

Most-Cited Papers

Determining the order of the functional autoregressive model

Piotr Kokoszka, Matthew Logan Reimherr, 2013, Journal of Time Series Analysis on p. 116-129

A functional data analysis approach for genetic association studies

Matthew Reimherr, Dan Nicolae, 2014, Annals of Applied Statistics on p. 406-429

On quantifying dependence

Matthew Reimherr, Dan L. Nicolae, 2013, Statistical Science on p. 116-130

Asymptotic normality of the principal components of functional time series

Piotr Kokoszka, Matthew Reimherr, 2013, Stochastic Processes and their Applications on p. 1546-1562

Feature screening for time-varying coefficient models with ultrahigh-dimensional longitudinal data

Wanghuan Chu, Runze Li, Matthew Reimherr, 2016, Annals of Applied Statistics on p. 596-617

Coherent synthesis of genomic associations with phenotypes and home environments

Jesse R. Lasky, Brenna R. Forester, Matthew Logan Reimherr, 2018, Molecular Ecology Resources on p. 91-106

Predictability of shapes of intraday price curves

Piotr Kokoszka, Matthew Reimherr, 2013, Econometrics Journal on p. 285-308

Testing separability of space-time functional processes

P. Constantinou, P. Kokoszka, M. Reimherr, 2017, Biometrika on p. 425-437

Child Weight Gain Trajectories Linked To Oral Microbiota Composition

Sarah Craig, Daniel Blankenberg, Alice Carla Luisa Parodi, Ian Paul, Leann L. Birch, Jennifer Savage Williams, Michele E. Marini, Jennifer L. Stokes, Anton Nekrutenko, Matthew Logan Reimherr, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Scientific Reports

The function-on-scalar LASSO with applications to longitudinal GWAS

Rina Foygel Barber, Matthew Logan Reimherr, Thomas Schill, 2017, Electronic Journal of Statistics on p. 1351-1389