Latest Articles for Statistics

Examining how random walks impact solutions in constraint satisfaction problems.

This article reviews methods to enhance least-squares problem accuracy using different precision levels.

A look at different methods for drawing colored balls from an urn.

A look at nonparametric regression methods using geometric graphs and Bayesian approaches.

Learn how Bayesian learning improves predictions and handles uncertainty in machine learning.

Explore the risks and defenses in rank aggregation processes.

A new method enhances analysis of how different groups respond to treatments.

Explore how point arrangements reveal unique properties in mathematics and beyond.

Examining quantum methods for efficient density estimation in data analysis.

LLP enables model training using average labels from grouped examples.

Explore Kemeny's constant and its geometric ties to Markov chains.

Exploring key properties and implications of Dirichlet functions in number theory.

Random matrices unlock new approaches for solving complex problems in various fields.

This article discusses adaptive MCMC methods and their applications in complex distributions.

A new method enhances prediction certainty in language models for yes/no questions.

This article discusses optimization in Wasserstein space with a focus on complex probability measures.

A new model enhances the analysis of complex health data.

This article presents a method for predicting complex functional time series data.

A look into how randomness affects material behavior and design.

Learn how to compare probability measures on complex data structures.

An in-depth look at estimating in high-dimensional data settings.

New methods improve estimation accuracy in probabilistic models by addressing noise.

A new method enhances B&B algorithms for L0-regularization problems.

The nn2poly package transforms neural networks into clear polynomial forms.

Exploring the relationship between two key mathematical concepts in optimization.

A new approach to improve decisions under uncertainty with covariate shifts.

A look at how individuals make choices using random utility models.

Explore the role of coresets in high-dimensional data analysis.

A look at how common information impacts various fields of study.

Examine how probability distributions change over time and their information loss.

Learn how coresets improve efficiency in multiple regression analysis.

Introducing estimators for better understanding feature contributions in regression.

A method to improve analysis of studies with missing information.

Examining differential privacy's effectiveness in protecting individual identities in SOEP data.

Analyzing genetic traits through advanced covariance matrix techniques.

A look into non-symmetric DPPs and their applications in modeling interactions.

A new method for efficient Bayesian quantile estimation and regression.

Learn straightforward concepts in quantitative reasoning and their real-world applications.

Discover how heavy-tailed weights enhance deep neural networks' adaptability and performance.

A look at how biorthogonal polynomials enhance polynomial regression methods.