Latest Articles for Statistics

A look at how different astronomy fields analyze spatial data.

A detailed look at clustering methods and their definitions.

Discover simplified methods for calculating cross-partial derivatives in complex functions.

An overview of rough analysis and its applications in various fields.

Study of connected groups in random geometric graphs reveals key insights.

Introducing a new method for estimating counts in DNF formulas.

Research on neural networks reveals behaviors of heavy-tailed distributions.

Researchers must verify assumptions for valid conclusions in statistical analysis.

A new approach enhances the accuracy of employment data estimates.

New techniques enhance sample quality in discrete diffusion models.

Analyzing the relationship between Gaussian processes and reproducing kernel Hilbert spaces.

Neural networks enhance two-sample testing for complex data analysis.

A new method for privacy-preserving density estimation using stable list decoding.

Improved methods for analyzing continuous data patterns and trends.

A guide on how finite mixture models assist in grouping and estimating data patterns.

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.