OASIS: An interpretable, finite-sample valid alternative to Pearson’s X2 for scientific discovery
Sign Up to like & getrecommendations! Published in 2024 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2304671121
Abstract: Significance Contingency tables are pervasive across quantitative research and data-science applications. Existing statistical tests fall short, however; none provide robust, computationally efficient inference and control type I error. In this work, motivated by a recent… read more here.
Keywords: interpretable finite; oasis; finite sample; valid alternative ... See more keywords
Finite-sample refinement of GMM approach to nonlinear models under heteroskedasticity of unknown form
Sign Up to like & getrecommendations! Published in 2018 at "Econometric Reviews"
DOI: 10.1080/07474938.2014.999499
Abstract: ABSTRACT It is quite common to observe heteroskedasticity in real data, in particular, cross-sectional or micro data. Previous studies concentrate on improving the finite-sample properties of tests under heteroskedasticity of unknown forms in linear models.… read more here.
Keywords: nonlinear models; sample refinement; heteroskedasticity unknown; finite sample ... See more keywords
Finite-sample generalized confidence distributions and sign-based robust estimators in median regressions with heterogeneous dependent errors
Sign Up to like & getrecommendations! Published in 2020 at "Econometric Reviews"
DOI: 10.1080/07474938.2020.1772568
Abstract: Abstract We study the problem of estimating the parameters of a linear median regression without any assumption on the shape of the error distribution – including no condition on the existence of moments – allowing… read more here.
Keywords: confidence; sample generalized; confidence distributions; finite sample ... See more keywords
A Finite-Sample Bound for Identifying Partially Observed Linear Switched Systems From a Single Trajectory
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2025.3580519
Abstract: We derive a finite-sample probabilistic bound on the parameter estimation error of a system identification algorithm for Linear Switched Systems. The algorithm estimates Markov parameters from a single trajectory and applies a variant of the… read more here.
Keywords: single trajectory; linear switched; sample bound; finite sample ... See more keywords
Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3160407
Abstract: Canonical correlation analysis (CCA) has been essential in unsupervised multimodal/multiview latent representation learning and data fusion. Classic CCA extracts shared information from multiple modalities of data using linear transformations. In recent years, deep neural networks-based… read more here.
Keywords: cca; multimodal; shared information; analysis ... See more keywords
Alternating logistic regressions with improved finite sample properties.
Sign Up to like & getrecommendations! Published in 2017 at "Biometrics"
DOI: 10.1111/biom.12614
Abstract: Alternating logistic regressions is an estimating equations procedure used to model marginal means of correlated binary outcomes while simultaneously specifying a within-cluster association model for log odds ratios of outcome pairs. A recent generalization of… read more here.
Keywords: regressions improved; improved finite; alternating logistic; finite sample ... See more keywords
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Sign Up to like & getrecommendations! Published in 2019 at "Bernoulli"
DOI: 10.3150/18-bej1065
Abstract: The Wasserstein distance between two probability measures on a metric space is a measure of closeness with applications in statistics, probability, and machine learning. In this work, we consider the fundamental question of how quickly… read more here.
Keywords: finite sample; sharp asymptotic; asymptotic finite; rates convergence ... See more keywords
Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23050545
Abstract: Finite-sample bounds on the accuracy of Bhattacharya’s plug-in estimator for Fisher information are derived. These bounds are further improved by introducing a clipping step that allows for better control over the score function. This leads… read more here.
Keywords: sample bounds; bounds accuracy; fisher information; finite sample ... See more keywords