Latest Articles for Statistics

A new approach to enhance data privacy while minimizing communication costs.

An introduction to Segre-Veronese manifolds and their relationship with tensors.

Learn about factor models and their methods for simplifying complex data.

A new method improves clustering results and insights through balanced groupings.

A new method for estimating distributions using Bayesian histograms enhances memory efficiency.

A new method to calculate winning chances in major sports tournaments efficiently.

Orthogonal polynomials play a key role in various mathematical applications.

Discover how Probabilistic PCA improves insights from high-dimensional data.

Learn how design points enhance prediction accuracy in spatial statistics.

Researchers develop tests to assess diffusion coefficients in complex systems over time.

Examining the efficiency and limitations of amortized variational inference in statistical models.

Exploring the dynamics of active particles and their interactions in confined spaces.

This article discusses methods for assessing treatment effects in research.

A new model to tackle challenges in analyzing irregularly sampled time series data.

A closer look at sliced Wasserstein distance in probability comparisons.

Learn effective methods for analyzing grouped data with emphasis on parameter estimation.

A look at qualitative and quantitative methods in understanding probability.

A new method improves accuracy in non-probability samples by combining data sources.

A look into the random walk Metropolis-Hastings algorithm for statistical sampling.

A new approach for better estimates in statistical modeling of complex data.

This article examines the factors influencing blood pressure using advanced statistical methods.

New methods enhance regression analysis in the presence of outliers.

This article examines two methods for studying data shapes: information geometry and Wasserstein geometry.

Exploring new methods for ensuring reliability in machine learning outcomes.

A look at how distance measures impact various fields through curve comparison.

A look at the significance of random variables and empirical measures in probability.

Exploring the role of digit distribution across various applications.

New methods improve understanding of complex data through flexible modeling.

Introducing the MRCT estimator for effective outlier detection and covariance analysis.

A new method improves density estimation for complex data analysis.

New estimators enhance the management of false discovery rates in statistical testing.

A new method enhances causal inference and addresses uncertainty in relationships.

New methods improve analysis of complex biological data sets.

Discover how Gaussian graphical models analyze relationships in paired data.

Identifiability and falsifiability are crucial in Bayesian model growth.

Exploring Gini's mean difference and its applications in reliability theory.

Introducing a function to assess information and variability in reliability and risk analysis.

A new method for drawing insights from summarized data using Gibbs sampling.

A guide to regularizing weight sequences for clearer mathematical analysis.

Adaptive sample splitting enhances accuracy and reliability in predictive modeling.