| A penalized likelihood method for classification with matrix-valued predictors AJ Molstad, AJ Rothman Journal of Computational and Graphical Statistics 28 (1), 11-22, 2019 | 13 | 2019 |
| Indirect multivariate response linear regression AJ Molstad, AJ Rothman Biometrika 103 (3), 595-607, 2016 | 12 | 2016 |
| Shrinking characteristics of precision matrix estimators AJ Molstad, AJ Rothman Biometrika 105 (3), 563-574, 2018 | 11 | 2018 |
| Gaussian process regression for survival time prediction with genome-wide gene expression AJ Molstad, L Hsu, W Sun Biostatistics 22 (1), 164-180, 2021 | 9 | 2021 |
| Estimating multiple precision matrices with cluster fusion regularization BS Price, AJ Molstad, B Sherwood Journal of Computational and Graphical Statistics 30 (4), 823-834, 2021 | 8 | 2021 |
| New insights for the multivariate square-root lasso AJ Molstad Journal of Machine Learning Research 23 (66), 1-52, 2022 | 7 | 2022 |
| A likelihood-based approach for multivariate categorical response regression in high dimensions AJ Molstad, AJ Rothman Journal of the American Statistical Association 118 (542), 1402-1414, 2023 | 5 | 2023 |
| A covariance-enhanced approach to multi-tissue joint eQTL mapping with application to transcriptome-wide association studies AJ Molstad, W Sun, L Hsu The Annals of Applied Statistics 15 (2), 998, 2021 | 5 | 2021 |
| Mixed‐type multivariate response regression with covariance estimation KO Ekvall, AJ Molstad Statistics in Medicine 41 (15), 2768-2785, 2022 | 4 | 2022 |
| Scalable algorithms for semiparametric accelerated failure time models in high dimensions PM Suder, AJ Molstad Statistics in Medicine 41 (6), 933-949, 2022 | 4 | 2022 |
| An explicit mean-covariance parameterization for multivariate response linear regression AJ Molstad, G Weng, CR Doss, AJ Rothman Journal of Computational and Graphical Statistics 30 (3), 612-621, 2021 | 4 | 2021 |
| Binned multinomial logistic regression for integrative cell-type annotation K Motwani, R Bacher, AJ Molstad The Annals of Applied Statistics 17 (4), 3426-3449, 2023 | 2 | 2023 |
| A convex-nonconvex strategy for grouped variable selection X Liu, AJ Molstad, EC Chi Electronic Journal of Statistics 17 (2), 2912-2961, 2023 | 2 | 2023 |
| Asymptotic properties of concave L1-norm group penalties B Sherwood, AJ Molstad, S Singha Statistics & Probability Letters 157, 108631, 2020 | 2 | 2020 |
| Dimension reduction for integrative survival analysis AJ Molstad, RK Patra Biometrics 79 (3), 1610-1623, 2023 | 1 | 2023 |
| Heterogeneity-aware integrative analyses for ancestry-specific association studies AJ Molstad, Y Cai, AP Reiner, C Kooperberg, W Sun, L Hsu arXiv preprint arXiv:2306.05571, 2023 | 1 | 2023 |
| Direct covariance matrix estimation with compositional data AJ Molstad, KO Ekvall, PM Suder Electronic Journal of Statistics 18 (1), 1702-1748, 2024 | | 2024 |
| Multiresolution categorical regression for interpretable cell‐type annotation AJ Molstad, K Motwani Biometrics 79 (4), 3485-3496, 2023 | | 2023 |
| Conditional probability tensor decompositions for multivariate categorical response regression AJ Molstad, X Zhang arXiv preprint arXiv:2206.10676, 2022 | | 2022 |
| Supplement to “Mixed-type multivariate response regression with covariance estimation” KO Ekvall, AJ Molstad | | 2022 |
Wei SunFred Hutchinson Cancer CenterVerified email at fredhutch.org
