Matthew Reimherr
Penn State University
H-index: 22
North America-United States
Top articles of Matthew Reimherr
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Smoothness Adaptive Hypothesis Transfer Learning | arXiv preprint arXiv:2402.14966 | Haotian Lin Matthew Reimherr | 2024/2/22 |
On Hypothesis Transfer Learning of Functional Linear Models | stat | Haotian Lin Matthew Reimherr | 2024/2 |
Methylation profiles at birth linked to early childhood obesity | Journal of Developmental Origins of Health and Disease | Delphine Lariviere Sarah JC Craig Ian M Paul Emily E Hohman Jennifer S Savage | 2024/1 |
Optimal function-on-scalar regression over complex domains | Electronic Journal of Statistics | Matthew Reimherr Bharath Sriperumbudur Hyun Bin Kang | 2023 |
Differentially Private Synthetic Heavy-tailed Data | arXiv preprint arXiv:2309.02416 | Tran Tran Matthew Reimherr Aleksandra Slavković | 2023/9/5 |
Differentially Private Functional Summaries via the Independent Component Laplace Process | arXiv preprint arXiv:2309.00125 | Haotian Lin Matthew Reimherr | 2023/8/31 |
Constructing a polygenic risk score for childhood obesity using functional data analysis | Econometrics and statistics | Sarah JC Craig Ana M Kenney Junli Lin Ian M Paul Leann L Birch | 2023/1/1 |
Fast and fair simultaneous confidence bands for functional parameters | Journal of the Royal Statistical Society Series B: Statistical Methodology | Dominik Liebl Matthew Reimherr | 2023/7 |
FAStEN: an efficient adaptive method for feature selection and estimation in high-dimensional functional regressions | arXiv preprint arXiv:2303.14801 | Tobia Boschi Lorenzo Testa Francesca Chiaromonte Matthew Reimherr | 2023/3/26 |
Modern non-linear function-on-function regression | Statistics and Computing | Aniruddha Rajendra Rao Matthew Reimherr | 2023/12 |
ARIMAX model for forecasting maintenance work (AMFM): A multi-stage seasonal ARIMAX model for work order time series forecasting | Anupam Purwar Matthew Reimherr | 2023 | |
Nonlinear functional modeling using neural networks | Journal of Computational and Graphical Statistics | Aniruddha Rajendra Rao Matthew Reimherr | 2023/10/2 |
Highly irregular functional generalized linear regression with electronic health records | Journal of the Royal Statistical Society Series C: Applied Statistics | Justin Petrovich Matthew Reimherr Carrie Daymont | 2022/8 |
Formal Privacy for Partially Private Data | arXiv preprint arXiv:2204.01102 | Jeremy Seeman Matthew Reimherr Aleksandra Slavkovic | 2022/4/3 |
Spatio–temporal Functional Data Analysis | Geostatistical Functional Data Analysis | Gregory Bopp John Ensley Piotr Kokoszka Matthew Reimherr | 2022/1/18 |
Shape and structure preserving differential privacy | Advances in Neural Information Processing Systems | Carlos Soto Karthik Bharath Matthew Reimherr Aleksandra Slavković | 2022/12/6 |
Metabolomic profiling of stool of two‐year old children from the INSIGHT study reveals links between butyrate and child weight outcomes | Pediatric obesity | Debmalya Nandy Sarah JC Craig Jingwei Cai Yuan Tian Ian M Paul | 2022/1 |
A machine learning approach to classification for traders in financial markets | Stat | Isaac D Wright Matthew Reimherr John Liechty | 2022/12 |
The use of brexpiprazole combined with a stimulant in adults with treatment-resistant attention-deficit/hyperactivity disorder | Journal of Clinical Psychopharmacology | Frederick W Reimherr Thomas E Gift Tammy A Steans Matthew L Reimherr Leon I Rosenberg | 2022/9/1 |
Prior sample size extensions for assessing prior impact and prior-likelihood discordance | Journal of the Royal Statistical Society Series B: Statistical Methodology | Matthew Reimherr Xiao-Li Meng Dan L Nicolae | 2021/7 |
