Latest Articles for Statistics

A study on geodesics, injectivity radius, and cut points within the Stiefel manifold.

Study reveals methods for inferring data despite malicious corruption challenges.

A new framework for exact inference in latent variable models is proposed.

A look at the Hoeffding test and its performance in hypothesis testing.

A look into T-systems and their role in mathematical functions and approximation.

TS-CausalNN offers a fresh approach to causal relationships in time series data.

A look into how records and trees shape random processes.

Learn about correlations and their significance in various fields.

Learn how new methods improve predictions for random events and outcomes.

A new method improves how we assess causes of death in public health.

Convex sets play a crucial role in various mathematical fields and applications.

An overview of profile likelihood and its application in statistical inference.

Introducing flexible tests for assessing independence in complex datasets.

Using advanced statistical methods to integrate past data for better medical insights.

Methods to handle outliers effectively in data analysis.

FABLE improves factor analysis for high-dimensional datasets using Bayesian inference.

Learn how empirical Bayes methods improve decision-making using combined data insights.

This study examines a new approach for analyzing longitudinal data dependencies.

A novel approach enhances understanding of biological inheritance over generations.

A new method for comparing data distributions using geometric relationships.

Discover how deterministic chaotic maps influence the emergence of normal distributions.

A look at how conditional distributions function with Gaussian random variables.

Learn how Bayesian graphs aid in predicting responses to security measures.

Introducing leaky instruments for better causal analysis in complex data scenarios.

An overview of bivariate quasi-copulas and their applications in various fields.

New methods enhance analysis of stochastic models with irregular coefficients.

A new measure improves divergence comparisons among multiple probability distributions.

A new method to reveal causal links using variances in data.

BayesPPDSurv helps researchers efficiently plan clinical trials using historical data.

A guide to the methods of computing the generalized chi-square distribution.

Learn effective strategies to address missing data challenges in various fields.

A tool to generate and analyze synthetic sparse tensors in various fields.

Learn how merging survey data can enhance results and reduce costs.

Improving efficiency of probability estimates in uncertain systems through advanced methods.

A fresh approach to analyze time series data interactions using statistical features.

A look into the PDHG algorithm and its role in optimization methods.

A look at how goodness-of-fit tests evaluate data against statistical models.

Learn how PTMs provide insights into complex relationships between variables.

Exploring random matrices and their significance in complex systems across various fields.

A new method examines how social influences affect educational outcomes.