Break detection in the covariance structure of multivariate time series models A Aue, S Hörmann, L Horváth, M Reimherr The Annals of Statistics 37 (6B), 4046-4087, 2009 | 383 | 2009 |
Introduction to functional data analysis P Kokoszka, M Reimherr Chapman and Hall/CRC, 2017 | 300 | 2017 |
Determining the order of the functional autoregressive model P Kokoszka, M Reimherr Journal of Time Series Analysis 34 (1), 116-129, 2013 | 76 | 2013 |
Delay times of sequential procedures for multiple time series regression models A Aue, L Horváth, ML Reimherr Journal of Econometrics 149 (2), 174-190, 2009 | 54 | 2009 |
Testing separability of space-time functional processes P Constantinou, P Kokoszka, M Reimherr Biometrika 104 (2), 425-437, 2017 | 46 | 2017 |
Asymptotic normality of the principal components of functional time series P Kokoszka, M Reimherr Stochastic Processes and their Applications 123 (5), 1546-1562, 2013 | 46 | 2013 |
A functional data analysis approach for genetic association studies M Reimherr, D Nicolae The Annals of Applied Statistics 8 (1), 406-429, 2014 | 45 | 2014 |
Two sample inference in functional linear models L Horváth, P Kokoszka, M Reimherr Canadian Journal of Statistics 37 (4), 571-591, 2009 | 44 | 2009 |
Child weight gain trajectories linked to oral microbiota composition SJC Craig, D Blankenberg, ACL Parodi, IM Paul, LL Birch, JS Savage, ... Scientific reports 8 (1), 1-14, 2018 | 43 | 2018 |
The function-on-scalar LASSO with applications to longitudinal GWAS RF Barber, M Reimherr, T Schill Electronic Journal of Statistics 11 (1), 1351-1389, 2017 | 39 | 2017 |
Feature screening for time-varying coefficient models with ultrahigh dimensional longitudinal data W Chu, R Li, M Reimherr The annals of applied statistics 10 (2), 596, 2016 | 39 | 2016 |
On quantifying dependence: A framework for developing interpretable measures M Reimherr, DL Nicolae Statistical Science 28 (1), 116-130, 2013 | 36 | 2013 |
Detection of change in the spatiotemporal mean function O Gromenko, P Kokoszka, M Reimherr Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 33 | 2017 |
Coherent synthesis of genomic associations with phenotypes and home environments JR Lasky, BR Forester, M Reimherr Molecular Ecology Resources 18 (1), 91-106, 2018 | 30 | 2018 |
Predictability of shapes of intraday price curves P Kokoszka, M Reimherr The Econometrics Journal 16 (3), 285-308, 2013 | 30 | 2013 |
A geometric approach to confidence regions and bands for functional parameters H Choi, M Reimherr Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018 | 28 | 2018 |
Prior sample size extensions for assessing prior impact and prior‐likelihood discordance M Reimherr, XL Meng, DL Nicolae Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2021 | 24* | 2021 |
High-dimensional adaptive function-on-scalar regression Z Fan, M Reimherr Econometrics and statistics 1, 167-183, 2017 | 24 | 2017 |
Types of adult attention-deficit/hyperactivity disorder: a replication analysis FW Reimherr, M Roesler, BK Marchant, TE Gift, W Retz, ... The Journal of Clinical Psychiatry 81 (2), 21798, 2020 | 22 | 2020 |
Optimal prediction for additive function-on-function regression M Reimherr, B Sriperumbudur, B Taoufik Electronic Journal of Statistics 12 (2), 4571-4601, 2018 | 21 | 2018 |