User profiles for M. Reimherr
Matthew ReimherrAmazon, Pennsylvania State University Verified email at psu.edu Cited by 2330 |
[BOOK][B] Introduction to functional data analysis
P Kokoszka, M Reimherr - 2017 - taylorfrancis.com
… smooth functions that share some shape properties, and so can be approximated as linear
combinations of some M basic shapes Bm, with M being typically smaller than the number of …
combinations of some M basic shapes Bm, with M being typically smaller than the number of …
Break detection in the covariance structure of multivariate time series models
A Aue, S Hörmann, L Horváth, M Reimherr - 2009 - projecteuclid.org
In this paper, we introduce an asymptotic test procedure to assess the stability of volatilities
and cross-volatilites of linear and nonlinear multivariate time series models. The test is very …
and cross-volatilites of linear and nonlinear multivariate time series models. The test is very …
Determining the order of the functional autoregressive model
P Kokoszka, M Reimherr - Journal of Time Series Analysis, 2013 - Wiley Online Library
We propose a multistage testing procedure to determine the order p of a functional
autoregressive process, FAR (p). At its core is the representation of the FAR(p) process as a fully …
autoregressive process, FAR (p). At its core is the representation of the FAR(p) process as a fully …
[HTML][HTML] Child weight gain trajectories linked to oral microbiota composition
…, ME Marini, JL Stokes, A Nekrutenko, M Reimherr… - Scientific reports, 2018 - nature.com
Gut and oral microbiota perturbations have been observed in obese adults and adolescents;
less is known about their influence on weight gain in young children. Here we analyzed the …
less is known about their influence on weight gain in young children. Here we analyzed the …
[HTML][HTML] Types of adult attention-deficit/hyperactivity disorder: a replication analysis
FW Reimherr, M Roesler… - The Journal of …, 2020 - legacy.psychiatrist.com
Objective: Research supports the importance of emotional symptoms in adults with attention-deficit/hyperactivity
disorder (ADHD), which are not reflected in the DSM-5 or ICD-10 criteria…
disorder (ADHD), which are not reflected in the DSM-5 or ICD-10 criteria…
The function-on-scalar LASSO with applications to longitudinal GWAS
RF Barber, M Reimherr, T Schill - 2017 - projecteuclid.org
We present a new methodology for simultaneous variable selection and parameter estimation
in function-on-scalar regression with an ultra-high dimensional predictor vector. We …
in function-on-scalar regression with an ultra-high dimensional predictor vector. We …
Testing separability of space-time functional processes
P Constantinou, P Kokoszka, M Reimherr - Biometrika, 2017 - academic.oup.com
Separability is a common simplifying assumption on the covariance structure of spatiotemporal
functional data. We present three tests of separability, one a functional extension of the …
functional data. We present three tests of separability, one a functional extension of the …
[HTML][HTML] Asymptotic normality of the principal components of functional time series
P Kokoszka, M Reimherr - Stochastic Processes and their Applications, 2013 - Elsevier
We establish the asymptotic normality of the sample principal components of functional
stochastic processes under nonrestrictive assumptions which admit nonlinear functional time …
stochastic processes under nonrestrictive assumptions which admit nonlinear functional time …
[HTML][HTML] Feature screening for time-varying coefficient models with ultrahigh dimensional longitudinal data
W Chu, R Li, M Reimherr - The annals of applied statistics, 2016 - ncbi.nlm.nih.gov
Motivated by an empirical analysis of the Childhood Asthma Management Project, CAMP,
we introduce a new screening procedure for varying coefficient models with ultrahigh …
we introduce a new screening procedure for varying coefficient models with ultrahigh …
Detection of change in the spatiotemporal mean function
…, P Kokoszka, M Reimherr - Journal of the Royal …, 2017 - academic.oup.com
The paper develops inferential methodology for detecting a change in the annual pattern of
an environmental variable measured at fixed locations in a spatial region. Using a framework …
an environmental variable measured at fixed locations in a spatial region. Using a framework …