Search Results - "Kashlak, Adam B"
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Functional non-parametric mixed effects models for cytotoxicity assessment and clustering
Published in Scientific reports (11-03-2023)“…A multitude of natural and synthetic chemicals are present in our environment.Through the study of a compound’s cytotoxicity, researchers can carefully set…”
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A Reproducing Kernel Hilbert Space Framework for Functional Classification
Published in Journal of computational and graphical statistics (03-07-2023)“…The intrinsic infinite-dimensional nature of functional data creates a bottleneck in the application of traditional classifiers to functional settings. These…”
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Analytic Permutation Testing for Functional Data ANOVA
Published in Journal of computational and graphical statistics (02-01-2023)“…Analysis of variance is a cornerstone of statistical hypothesis testing. When data lies beyond the assumption of univariate normality, nonparametric methods…”
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Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate
Published in Spatial statistics (01-04-2022)“…Measures of local and global spatial association are key tools for exploratory spatial data analysis. Many such measures exist including Moran’s I, Geary’s C,…”
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Nonparametric confidence regions via the analytic wild bootstrap
Published in Canadian journal of statistics (01-03-2023)“…The wild bootstrap is a nonparametric tool that can be used to estimate a sampling distribution in the presence of heteroscedastic errors. In particular, the…”
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Unsupervised Classification with a Family of Parsimonious Contaminated Shifted Asymmetric Laplace Mixtures
Published in Journal of classification (2024)“…A family of parsimonious contaminated shifted asymmetric Laplace mixtures is developed for unsupervised classification of asymmetric clusters in the presence…”
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Nonasymptotic support recovery for high‐dimensional sparse covariance matrices
Published in Stat (International Statistical Institute) (01-12-2021)“…For high‐dimensional data, the standard empirical estimator for the covariance matrix is very poor, and thus many methods have been proposed to more accurately…”
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A wonderful night for Oscar speeches
Published in Significance (Oxford, England) (01-02-2019)“…Winning an Academy Award is a career highlight for actors, directors and anyone else involved in the movie business. But the happiness and gratitude that…”
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Was Trump's speech presidential?
Published in Significance (Oxford, England) (01-04-2017)“…The pundits thought it was, but what do the data tell us? Adam B. Kashlak updates his analysis on the frequency of “America” in presidential addresses The…”
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Markov models for ocular fixation locations in the presence and absence of colour
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01-01-2018)“…In response to the 2015 Royal Statistical Society's statistical analytics challenge, we propose to model the fixation locations of the human eye when observing…”
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The frequency of "America" in America
Published in Significance (Oxford, England) (01-10-2016)“…The State of the Union address has been a fixture of the US political calendar for two centuries. In that time, use of the word “America” has increased…”
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Non-asymptotic error controlled sparse high dimensional precision matrix estimation
Published in Journal of multivariate analysis (01-01-2021)“…Estimation of a high dimensional precision matrix is a critical problem to many areas of statistics including Gaussian graphical models and inference on high…”
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Measuring distributional asymmetry with Wasserstein distance and Rademacher symmetrization
Published in Electronic journal of statistics (01-01-2018)Get full text
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Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
Published in Sankhya. Series. A (01-02-2019)“…We propose a novel approach to the analysis of covariance operators making use of concentration inequalities. First, non-asymptotic confidence sets are…”
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Asymptotic symmetry and group invariance for randomization
Published 31-10-2022“…Symmetry is a cornerstone of much of mathematics, and many probability distributions possess symmetries characterized by their invariance to a collection of…”
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Local Statistics for Spatial Panel Models with Application to the US Electorate
Published 20-10-2021“…The spatial panel regression model has shown great success in modelling econometric and other types of data that are observed both spatially and temporally…”
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Computation-free Nonparametric testing for Local and Global Spatial Autocorrelation with application to the Canadian Electorate
Published 15-12-2020“…Measures of local and global spatial association are key tools for exploratory spatial data analysis. Many such measures exist including Moran's $I$, Geary's…”
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Topological Hidden Markov Models
Published 26-05-2022“…The hidden Markov model (HMM) is a classic modeling tool with a wide swath of applications. Its inception considered observations restricted to a finite…”
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Non-asymptotic error controlled sparse high dimensional precision matrix estimation
Published 26-03-2019“…JMVA 181 (2021) Estimation of a high dimensional precision matrix is a critical problem to many areas of statistics including Gaussian graphical models and…”
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Functional Response Designs via the Analytic Permutation Test
Published 10-11-2021“…Vast literature on experimental design extends from Fisher and Snedecor to the modern day. When data lies beyond the assumption of univariate normality,…”
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