Matthew Reimherr

Associate Professor of Statistics

Matthew Reimherr

Huck Affiliations

Publication Tags

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Methodology Predictors Scalar Monte Carlo Simulation Multiple Imputation Testing Functional Data Phenotype Regression Asthma Screening Simulation Study Performance Variable Selection Genotype Longitudinal Data Genome Mutation Functional Data Analysis Genomics Health Hilbert Space Asymptotic Distribution Financial Markets Modeling

Most Recent Publications

Discussion of A General Framework for Regression Modelling

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

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

Nonlinear Functional Modeling Using Neural Networks

Aniruddha Rajendra Rao, Matthew Reimherr, 2023, Journal of Computational and Graphical Statistics on p. 1248-1257

Optimal function-on-scalar regression over complex domains

Matthew Reimherr, Bharath Sriperumbudur, Hyun Bin Kang, 2023, Electronic Journal of Statistics on p. 156-197

A machine learning approach to classification for traders in financial markets

Isaac D. Wright, Matthew Reimherr, John Liechty, 2022, Stat

The Use of Brexpiprazole Combined With a Stimulant in Adults With Treatment-Resistant Attention-Deficit/Hyperactivity Disorder

Frederick W. Reimherr, Thomas E. Gift, Tammy A. Steans, Matthew L. Reimherr, Leon I. Rosenberg, Melissa Wilson, Barrie K. Marchant, 2022, Journal of Clinical Psychopharmacology on p. 445-453

Highly irregular functional generalized linear regression with electronic health records

Justin Petrovich, Matthew Reimherr, Carrie Daymont, 2022, Journal of the Royal Statistical Society. Series C: Applied Statistics on p. 806-833

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

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

Most-Cited Papers

Introduction to Functional Data Analysis

Piotr Kokoszka, Matthew Reimherr, 2017,

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

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

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

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, Diseases of the Nervous System

Detection of change in the spatiotemporal mean function

Oleksandr Gromenko, Piotr Kokoszka, Matthew Reimherr, 2017, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 29-50

Testing separability of space-time functional processes

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

A functional data analysis approach for genetic association studies

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

High-dimensional adaptive function-on-scalar regression

Zhaohu Fan, Matthew Reimherr, 2017, Econometrics and Statistics on p. 167-183

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