Research supported in part by NIH R01-HL152439 (2021-2022, 2024), NSF DMS-2113589 (2021-2025), and NSF DMS-2413294 (2024-2027).

Subspace decompositions for association structure learning in multivariate categorical response regression.
Zhao, H., Molstad, A. J., and Rothman, A. J. (2024+)
Submitted
[pdf]

Smooth and shape-constrained quantile distributed lag models.
Jin, Y., Molstad, A. J., Wilson, A., and Antonelli, J. (2024+)
Submitted.
[pdf][software]

Protein quantitative trait locus analysis in African American and non-Hispanic White individuals.
Cai, Y., Johnson, M., Haessler, J. W., Molstad, A. J., Hwang, S., Joehanes, R., Murabito, J., Tahir, U. A., Franceschini, N., Gerszten, R., Sun, W., Levy, D., Raffield, L., Kooperberg, C., Hsu, L., and Reiner, A. (2024+)
Submitted.

Kernelized discriminant analysis for multivariate categorical response regression.
Jin, Y., Zhang, X. and Molstad, A. J. (2024+)
Submitted.

Conditional probability tensor decompositions for multivariate categorical response regression.
Molstad, A. J. and Zhang, X. (2023+)
Submitted.
[pdf][software]

Fast and reliable confidence confidence intervals for a variance component.
Zhang, Y., Ekvall, K. O., and Molstad, A. J. (2025)
Accepted, Biometrika.
[pdf][software][example]

Multi-response linear discriminant analysis in high dimensions.
Deng, K., Zhang, X., and Molstad, A. J. (2025)
Accepted, Journal of Machine Learning Research.
[pdf]

Heterogeneity-aware integrative regression for ancestry-specific association studies.
Molstad, A. J., Cai, Y., Reiner, A., Kooperberg, C., Sun, W., and Hsu, L. (2024)
Biometrics. 80 (4)
[pdf][reproduce simulations]

Direct covariance matrix estimation with compositional data.
Molstad, A. J., Ekvall, K. O., and Suder, P. M. (2024)
Electronic Journal of Statistics, 18(1), 1072-1748.
[pdf][software][example]

Multiresolution categorical regression for interpretable cell type annotation.
Molstad, A. J. and Motwani, K. (2023)
Biometrics, 79 (4), 3485-3496.
[pdf][supplement][software][example]

Binned multinomial logistic regression for integrative cell type annotation.
Motwani, K., Bacher, R., and Molstad, A. J. (2023)
Annals of Applied Statistics, 17 (4), 3426-3449.
[pdf][supplement][software][example][data]

A convex-nonconvex strategy for grouped variable selection.
Liu, X., Molstad, A. J., and Chi, E. C. (2023)
Electronic Journal of Statistics, 17 (2), 2912-2961.
[pdf][software][example]

Dimension reduction for integrative survival analysis.
Molstad, A. J. and Patra, R. K. (2023)
Biometrics, 79 (3), 1610-1623.
[pdf][supplement][reproduce simulations]

A likelihood-based approach for multivariate categorical response regression in high dimensions.
Molstad, A. J. and Rothman A. J. (2023)
Journal of the American Statistical Association, 118 (541), 1402-1414.
[pdf][supplement][software][example]

Mixed-type multivariate response regression with covariance estimation.
Ekvall, K. O. and Molstad, A. J. (2022)
Statistics in Medicine, 41 (15), 2768-2785.
[pdf][supplement][software][example]

New insights for the multivariate square-root lasso.
Molstad, A. J. (2022)
Journal of Machine Learning Research, 23 (66), 1−52.
[pdf][software][example]

Scalable algorithms for semiparametric accelerated failure time models in high dimensions.
Suder, P. M. and Molstad, A. J. (2022)
Statistics in Medicine, 41 (6), 933-949.
[pdf][supplement][software][example]

A covariance-enhanced approach to multi-tissue joint eQTL mapping with application to transcriptome-wide association studies.
Molstad, A. J., Sun, W., and Hsu, L. (2021)
Annals of Applied Statistics, 15 (2), 998-1016.
[pdf][supplement][results]

Estimating multiple precision matrices with cluster fusion regularization.
Price, B. S., Molstad, A. J., and Sherwood, B. (2021)
Journal of Computational and Graphical Statistics, 30 (4), 823-834.
[pdf][supplement]

An explicit mean-covariance parameterization for multivariate response linear regression.
Molstad, A. J., Weng, G., Doss, C. R., and Rothman, A. J. (2021)
Journal of Computational and Graphical Statistics, 30 (2), 612-621.
[pdf][supplement][software][example]

Gaussian process regression for survival time prediction with genome-wide gene expression.
Molstad, A. J., Hsu, L., and Sun, W. (2021)
Biostatistics, 22 (1), 164-180.
[pdf][supplement][software][example]

Asymptotic properties of concave L1-norm group penalties.
Sherwood, B., Molstad, A. J., and Singha, S. (2020)
Statistics and Probability Letters, 157
[pdf][supplement]

A penalized likelihood method for classification with matrix-valued predictors.
Molstad, A. J. and Rothman, A. J. (2019)
Journal of Computational and Graphical Statistics, 28 (1), 11-22.
[pdf][software][supplement]

Shrinking characteristics of precision matrix estimators.
Molstad, A. J. and Rothman, A. J. (2018)
Biometrika, 105 (3), 563-574.
[pdf][supplement]

Indirect multivariate response linear regression.
Molstad, A. J. and Rothman, A. J. (2016)
Biometrika, 103 (3), 595-607.
[pdf][supplement]