Research supported in part by NIH R01-HL152439 (2021-2022, 2024), NSF DMS-2113589/2415067 (2021-2025), and NSF DMS-2413294 (2024-2027).

A direct approach to tree-guided feature aggregation for high-dimensional regression
Fu, J., Molstad, A. J., and Zou, H. (2025+)
[pdf]

Convex clustering
Chi, E. C., Molstad, A. J., and Gao, Z. (2025+)
Submitted
[pdf]

Subspace decompositions for association structure learning in multivariate categorical response regression
Zhao, H., Molstad, A. J., and Rothman, A. J. (2025+)
Submitted
[pdf]

Conditional probability tensor decompositions for multivariate categorical response regression
Molstad, A. J. and Zhang, X. (2025+)
Journal of the American Statistical Association.
[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. (2025)
Genome Biology
[pdf]

Smooth and shape-constrained quantile distributed lag models
Jin, Y., Molstad, A. J., Wilson, A., and Antonelli, J. (2025)
Biometrics
[pdf][software]

Kernelized discriminant analysis for joint modeling of multivariate categorical responses
Jin, Y., Zhang, X. and Molstad, A. J. (2025)
Journal of Computational and Graphical Statistics
[pdf][software]

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

Multi-response linear discriminant analysis in high dimensions
Deng, K., Zhang, X., and Molstad, A. J. (2025)
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
[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
[pdf][software][example]

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

Dimension reduction for integrative survival analysis
Molstad, A. J. and Patra, R. K. (2023)
Biometrics
[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
[pdf][supplement][software][example]

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

New insights for the multivariate square-root lasso
Molstad, A. J. (2022)
Journal of Machine Learning Research
[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
[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
[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
[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
[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
[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
[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
[pdf][software][supplement]

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

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