Matthew Reimherr

Associate Professor of Statistics

Matthew Reimherr

Huck Affiliations

Publication Tags

Testing Time Series Methodology Monte Carlo Simulation Phenotype Principal Components Screening Predictors Asthma Genotype Longitudinal Data Sample Size Genome Simulation Study Genomics Scalar Variable Selection Performance Multiple Imputation Separability Psychometrics Smoothing Project Management Autoregressive Model Functional Data

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

Prior sample size extensions for assessing prior impact and prior--likelihood discordance

Matthew Reimherr, Xiao-Li Meng, Dan Nicolae, Journal of the Royal Statistical Society, Series B

Discussion of A General Framework for Regression Modelling

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

Metabolomic profiling of stool of two-year old children from the INSIGHT study reveals links between butyrate and BMI

D Nandy, Craig SJC, J Cai, Y Tian, I Paul, J Savage, M Marini, E Hohman, M Reimherr, Andrew Patterson, K Makova, F Chiaromonte, 2022, Pediatric obesity on p. e12833

Spatio--temporal Functional Data Analysis

Gregory Bopp, John Ensley, Piotr Kokoszka, Matthew Reimherr, 2022, Geostatistical Functional Data Analysis on p. 351--374

Modern multiple imputation with functional data

Aniruddha Rajendra Rao, Matthew Reimherr, 2021, Stat

Adaptive function-on-scalar regression with a smoothing elastic net

Ardalan Mirshani, Matthew Reimherr, 2021, Journal of Multivariate Analysis

Psychometric data and versions of the Wender Utah Rating Scale including the WURS-25 & WURS-45

Frederick W. Reimherr, Barrie K. Marchant, Thomas E. Gift, Tammy A. Steans, Matthew L. Reimherr, 2021, Data in Brief

Prior sample size extensions for assessing prior impact and prior-likelihood discordance

Matthew Reimherr, Xiao Li Meng, Dan L. Nicolae, 2021, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 413-437

Wender Utah Rating Scale: Psychometrics, clinical utility and implications regarding the elements of ADHD

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

Most-Cited Papers

Determining the order of the functional autoregressive model

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

Child Weight Gain Trajectories Linked To Oral Microbiota Composition

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

A functional data analysis approach for genetic association studies

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

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 Reimherr, 2018, Molecular Ecology Notes on p. 91-106

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

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

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

Testing separability of space-time functional processes

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

Predictability of shapes of intraday price curves

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