My research interests include statistical learning for high-dimensional and big data, non-parametric statistics, targeted maximum likelihood estimation and functional data analysis. My applied interests include hydrology, climate change and the environmental impact of mining.
Asad Haris, Noah Simon & Ali Shojaie, “Generalized Sparse Additive Models.” Journal of Machine Learning Research, 2022 (to appear)
Asad Haris, Ali Shojaie & Noah Simon, "Nonparametric regression with adaptive truncation via a convex hierarchical penalty." Biometrika, vol. 106, no 1, March 2019, pp. 87–107.
Asad Haris, Ali Shojaie & Noah Simon, "Wavelet regression and additive models for irregularly spaced data." Advances in Neural Information Processing Systems, vol. 31, 2018, pp. 8973-8983.
Asad Haris, Daniela Witten & Noah Simon, “Convex modeling of interactions with strong heredity.” Journal of Computational and Graphical Statistics, vol. 25, no. 4, Oct. 2016, pp. 981–1004.
Divya Panicker, Asad Haris & Dipani Sutaria, "Indian Ocean humpback dolphin (Sousa plumbea) estuary-use patterns in Kochi harbor, India." Marine Mammal Science, vol 34, no. 1, Sept. 2017, pp. 208-219.
Manuscripts in Progress
Asad Haris, Kenan Bachour, Robert B Hopkins, Jean-Eric Tarride, & Mark R Keezer, “The treatment of epilepsy in younger and older adults: demographic differences and prescribing patterns of anti-seizure medications in Canada.” (Submitted to Epilepsy Research).
Asad Haris & Robert Platt, “A TMLE-based approach to confounder selection for high-dimensional data.” (Submitted to Statistical Methods in Medical Research).
Asad Haris, Robert Platt & Grace Yi, “Targeted maximum likelihood estimation for measurement error problems.”