AB Kashlak Research

Publications:

Bootstrapping generalized linear models to accommodate overdispersed count data (2024) with Katherine Burak, Statistical Papers
Unsupervised classification with a family of parsimonious contaminated shifted asymmetric Laplace mixtures (2024) with Paul McLaughlin and Brian Franczak, Journal of Classification
Topological Hidden Markov Models (2023) with Prachi Loliencar and Giseon Heo, Journal of Machine Learning Research
A reproducing kernel Hilbert space framework for functional classification (2022) with Peijun Sang and Linglong Kong, Journal of Computational and Graphical Statistics
Analytic Permutation Testing for Functional Data ANOVA (2022) with Sergii Myroshnychenko and Susanna Spektor, Journal of Computational and Graphical Statistics
Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate (2022) with Weicong Yuan, Spatial Statistics
Nonparametric confidence regions via the analytic wild bootstrap (2021) with Katherine Burak, Canadian Journal of Statistics
Diagnosis of Pediatric Obstructive Sleep Apnea via Face Shape Analysis (2021) with Milad Kiaee, Jisu Kim, Giseon Heo, and Prachi Loliencar, IEEE International Conference on Big Data
Non-asymptotic error controlled sparse high dimensional precision matrix estimation (2021), Journal of Multivariate Analysis
Non-asymptotic estimation and support recovery for high dimensional sparse covariance matrices (2020) with Linglong Kong, Stat
Sparse Covariance and Precision Random Design Regression (2021) with Xi Fang and Steven Winter, AMMCS 2019 preceedings
Inference on covariance operators via concentration inequalities: k-sample tests, classification, and clustering via Rademacher complexities with John AD Aston and Richard Nickl, Sankhya A, September 2018
Measuring distributional asymmetry with Wasserstein distance and Rademacher symmetrization, Electronic Journal of Statistcs, July 2018
Markov models for ocular fixation locations in the presence and absence of colour with Eoin Devane, Helge Dietert, and Henry Jackson, JRSS-C, March 2017

Preprints:

Random Rotation Testing for Isoperimetry in High Dimensional Data (2025) with Aneeljyot Alagh
Random Rotation Testing for Quadratic Form Statistics (2025) with Amitakshar Biswas
Fast Wild Bootstrap for Penalized Regression on Massive Data (2025) with Katherine Burak
Asymptotic Invariance and Robustness of Randomization Tests (2022)
Local Statistics for Spatial Panel Models with Application to the US Electorate (2021) with Jianfeng Wang

Others:

A wonderful night for Oscar speeches Significance Magazine, February 2019
Was Trump’s speech presidential? Significance Magazine, April 2017
The frequency of America in Trump’s inaugural address Significance Magazine, January 2017
The Frequency of America in America Significance Magazine, October 2016 (Alternative Link)

Adam B Kashlak: Research

Publications:

Preprints:

Others:

PhD Thesis: A concentration inequality based statistical methodology for inference on covariance matrices and operators, June 2017, supervised by Professors John AD Aston and Richard Nickl.