Matthew Reimherr

Associate Professor of Statistics

Matthew Reimherr

Huck Affiliations

Publication Tags

Testing Phenotype Methodology Longitudinal Data Monte Carlo Simulation Time Series Asthma Principal Components Bioinformatics Screening Genotype Functional Data Analysis Simulation Study Test Statistic Asymptotic Distribution Project Management Genomics Variance Components Autoregressive Model Computational Biology Separability Heritability Genome Functional Model Framework

Most Recent Papers

Discussion of A General Framework for Regression Modelling

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

Types of adult attention-deficit/hyperactivity disorder

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

Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists

John Dziak, Donna Coffman, Matthew Reimherr, Justin Petrovich, Runze Li, Saul Shiffman, Mariya Shiyko, 2019, Statistics Surveys

Functional data analysis for computational biology

Marzia Cremona, Hongyan Xu, Kateryna Dmytrivna Makova, Matthew Logan Reimherr, Francesca Chiaromonte, Pedro Madrigal, 2019, Bioinformatics on p. 3211-3213

Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data

John J. Dziak, Donna L. Coffman, Matthew Reimherr, Justin Petrovich, Runze Li, Saul Shiffman, Mariya P. Shiyko, 2019, Statistics Surveys on p. 150-180

Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists

John Dziak, D Coffman, Matthew Reimherr, J Petrovich, Runze Li, S Shiffman, 2019, Statistical Survey on p. 150 -180

Some recent developments in inference for geostatistical functional data

Piotr Kokoszka, Matthew Reimherr, 2019, Colombian Journal of Statistics

Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists

John Dziak, Donna Coffman, Matthew Reimherr, Justin Petrovich, Runze Li, Saul Shiffman, Mariya Shiyko, 2019, Statistics Surveys on p. 150-180

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

Most-Cited Papers

Asymptotic normality of the principal components of functional time series

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

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

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

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

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

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

Estimating Variance Components in Functional Linear Models With Applications to Genetic Heritability

Matthew Reimherr, Dan Nicolae, 2016, Journal of the American Statistical Association on p. 407-422