Latest Articles for Statistics

Examining how descent and peak sets influence permutation growth rates.

Examining how random weights affect optimization problems in various fields.

A look at random variables and Markov chains across various fields.

This study focuses on estimating the regularity index for discrete Pareto distributions.

A look into finite de Finetti bounds and their impact on statistical inference.

Examining methods for estimating treatment effects with missing data in electronic health records.

This study introduces a method to simplify entropy measurement using geometric principles.

Explore how circular data impacts bird migration analysis and conservation efforts.

A new framework improves understanding of complex time-series model decisions.

A new method enhances classification accuracy in noisy data environments.

A look into the significance of Negative Binomial regression for count data analysis.

A look at strategies to tackle long-tailed data in machine learning.

Learn how eigenvalues and correlation matrices aid in data analysis.

A new method for identifying shifts in time series data and their relationships.

A look into how the FIVB ranks volleyball teams.

Learn how to improve model predictions despite shifting data distributions.

A new model improves analysis of survival data with shape restrictions.

A look into the importance of random matrices in physics and mathematics.

A new method for estimating high density regions in complex datasets.

This article covers key inequalities governing Gaussian random variables.

An overview of approaches to solve the N-Queens problem.

Explore how the Feynman-Kac formula aids in studying complex changing systems.

Introducing a method to improve clustering of distributional data using averages and variations.

Examining the behavior of characteristic polynomials in random unitary matrices.

A new approach for effective dimension reduction in classification tasks.

Research focuses on improving machine learning defenses against adversarial attacks.

Analyzing how averaging shapes number distributions over time.

Examining techniques for modeling and understanding multiscale systems using SDEs and parameter estimation.

Analyzing how individual traits affect medication responses through statistical methods.

This article explores the significance of matchings in random graphs and their applications.

New methods improve accuracy in measuring distances between data points.

Investigating faster methods for two-sample testing using random Fourier features.

Learn how hyperbolic spaces improve data modeling for complex structures.

Learn how dimension reduction helps manage complex data effectively.

Benford's Law reveals odd patterns in first digits across data sets.

This study improves classifier performance through targeted strategies in Multi-Instance Partial Label Learning.

A new method for better prediction sets using multiple score functions.

A new method improves causal discovery accuracy using automated kernel selection.

Introducing a Bayesian method for inferring hidden states in complex systems.

Research explores how to estimate statistics while respecting user privacy needs.