| Inference on covariance operators via concentration inequalities: k-sample tests, classification, and clustering via Rademacher complexities AB Kashlak, JAD Aston, R Nickl Sankhya A 81, 214-243, 2019 | 12 | 2019 |
| Nonparametric confidence regions via the analytic wild bootstrap KL Burak, AB Kashlak Canadian Journal of Statistics 51 (1), 77-94, 2023 | 7 | 2023 |
| Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate AB Kashlak, W Yuan Spatial Statistics 48, 100617, 2022 | 7 | 2022 |
| Analytic permutation testing for functional data ANOVA AB Kashlak, S Myroshnychenko, S Spektor Journal of Computational and Graphical Statistics 32 (1), 294-303, 2023 | 6 | 2023 |
| Nonasymptotic support recovery for high‐dimensional sparse covariance matrices AB Kashlak, L Kong Stat 10 (1), e316, 2021 | 5 | 2021 |
| A concentration inequality based methodology for sparse covariance estimation AB Kashlak, L Kong arXiv preprint arXiv:1705.02679, 2017 | 4 | 2017 |
| A reproducing kernel hilbert space framework for functional classification P Sang, AB Kashlak, L Kong Journal of Computational and Graphical Statistics 32 (3), 1000-1008, 2023 | 3 | 2023 |
| Non-asymptotic error controlled sparse high dimensional precision matrix estimation AB Kashlak Journal of Multivariate Analysis 181, 104690, 2021 | 3 | 2021 |
| Measuring distributional asymmetry with Wasserstein distance and Rademacher symmetrization AB Kashlak | 3 | 2018 |
| Markov models for ocular fixation locations in the presence and absence of colour AB Kashlak, E Devane, H Dietert, H Jackson Journal of the Royal Statistical Society Series C: Applied Statistics 67 (1 …, 2018 | 2 | 2018 |
| A concentration inequality based statistical methodology for inference on covariance matrices and operators AB Kashlak | 2 | 2017 |
| The frequency of “America” in America AB Kashlak Significance 13 (5), 26-29, 2016 | 2 | 2016 |
| Analytic permutation testing via Kahane-Khintchine inequalities AB Kashlak, S Myroshnychenko, S Spektor arXiv preprint arXiv:2001.01130 v1, 2020 | 1 | 2020 |
| Functional response designs via the analytic permutation test AB Kashlak, S Myroshnychenko, S Spektor arXiv preprint arXiv:2001.01130, 2020 | 1 | 2020 |
| Bootstrapping generalized linear models to accommodate overdispersed count data K Burak, A Kashlak Statistical Papers, 1-20, 2024 | | 2024 |
| Unsupervised Classification with a Family of Parsimonious Contaminated Shifted Asymmetric Laplace Mixtures P McLaughlin, BC Franczak, AB Kashlak Journal of Classification, 1-29, 2024 | | 2024 |
| Functional Response Quantile Regression Model X Zhou, D Kong, AB Kashlak, L Kong, R Karunamuni, H Zhu Statistica Sinica 33, 2643-2667, 2023 | | 2023 |
| Computing for Data Science AB Kashlak | | 2023 |
| Functional non-parametric mixed effects models for cytotoxicity assessment and clustering T Ma, D Richard, YB Yang, AB Kashlak, C Anton Scientific Reports 13 (1), 4075, 2023 | | 2023 |
| Topological Hidden Markov Models AB Kashlak, P Loliencar, G Heo Journal of Machine Learning Research 24 (340), 1-49, 2023 | | 2023 |
Linglong KongProfessor, Canada Research Chair in Statistical Learning, UAlberta, and Canada CIFAR AI Chair, AmiiVerified email at ualberta.ca
