Latest Articles for Statistics

A look into improving distribution approximations using moments and spectral properties.

An in-depth look at covariance matrices and their significance in data analysis.

A new method for confirming elliptical distributions in multivariate data analysis.

Learn how sufficient dimension reduction enhances predictive modeling in data science.

A look at mixture models and their role in data clustering.

Analyzing research papers for accuracy through statistical methods.

A look into multiple testing challenges and error management.

A new method improves variance component testing in mixed effects models.

A look at advanced methods for understanding complex datasets.

A novel method for analyzing connections in multiple networks simultaneously.

This article discusses fresh methods for approximating the non-central t-distribution in statistical analysis.

Learn how Bayesian methods improve data insights in various fields.

Improved estimates and convergence rates for random periodic solutions in stochastic systems.

New methods improve handling of high-dimensional data in machine learning.

A study on the effectiveness of mutual information estimators in differing data scenarios.

Examining the link between directed isoperimetric inequalities and monotonicity testing.

A look into generalized inverses and their significance in functions and statistics.

Analyzing the spectral properties of graphs reveals key insights about their connections and behaviors.

New techniques improve data comparison in machine learning and statistics.

A new method improves optimal transport by learning data-specific cost structures.

A method to enhance data analysis in social sciences.

A new method for online linear regression that adapts as data comes in.

A new method enhances health data accuracy in small regions with limited information.

A new method to compare how features affect outcomes in data analysis.

A fresh perspective on understanding generalization error in machine learning algorithms.

Explore the relationship between convex functions and minimization in probability and statistics.

A new method uses randomness and machine learning for faster Grobner basis calculation.

A new method improves variable selection in survival analysis models.

A new model enhances tensor analysis for complex data, improving robustness against outliers.

Learn how to average SPD matrices using the scaling-rotation framework.

A look at measuring data across various metric spaces.

A guide to estimating Gaussian mixture densities effectively.

A new method to assess quantum devices amidst unpredictable behavior.

A flexible model to study joint behavior of variables in extreme conditions.

Learn methods for handling complex functional data efficiently.

Examining square-root Lipschitz loss for improved learning algorithm performance with noisy data.

Discover the unique properties and applications of skew-orthogonal polynomials.

Exploring how curvature relates to memorization and overfitting in deep learning networks.

This article explores the link between lognormal distributions and mutual information analysis.

Explore effective methods for sampling from complex data distributions in networks.