Matthew Reimherr

Associate Professor of Statistics

Matthew Reimherr

Publication Tags

Testing Methodology Monte Carlo Simulation Predictors Asthma Principal Components Longitudinal Data Scalar Separability Regression Asymptotic Distribution Mutation Asymptotic Properties Functional Data Analysis Simulation Study Bioinformatics High Dimensional Screening Variable Selection Functional Data Hilbert Space Estimator Simulation Lung Functional Linear Model

Most Recent Papers

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

Dynamic functional regression with application to the cross-section of returns

Piotr Kokoszka, Hong Miao, Matthew Reimherr, Bahaeddine Taoufik, 2018, Journal of Financial Econometrics on p. 461-485

A geometric approach to confidence regions and bands for functional parameters

Hyunphil Choi, Matthew Reimherr, 2018, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 239-260

Optimal prediction for additive function-on-function regression

Matthew Reimherr, Bharath Sriperumbudur, Bahaeddine Taoufik, 2018, Electronic Journal of Statistics on p. 4571-4601

Simultaneous variable selection and smoothing for high-dimensional function-on-scalar regression

Alice Parodi, Matthew Reimherr, 2018, Electronic Journal of Statistics on p. 4602-4639

Asymptotic properties of principal component projections with repeated eigenvalues

Justin Petrovich, Matthew Logan Reimherr, 2017, Statistics and Probability Letters on p. 42-48

Testing separability of space-time functional processes

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

High-dimensional adaptive function-on-scalar regression

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

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

Most-Cited Papers

A functional data analysis approach for genetic association studies

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

Predictability of shapes of intraday price curves

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

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

You've Gotta Be Lucky

Matthew Reimherr, Dan L. Nicolae, 2011, Annals of Human Genetics on p. 105-111

Testing separability of space-time functional processes

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

Functional regression with repeated eigenvalues

Matthew Logan Reimherr, 2015, Statistics and Probability Letters on p. 62-70

High-dimensional adaptive function-on-scalar regression

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

Dynamic functional regression with application to the cross-section of returns

Piotr Kokoszka, Hong Miao, Matthew Reimherr, Bahaeddine Taoufik, 2018, Journal of Financial Econometrics on p. 461-485