Latest Articles for Statistics

Exploring metric learning techniques for high-dimensional data.

A look into urn models and their impact on probability and statistics.

This study examines how elderly family members influence financial risk attitudes.

A guide to understanding and applying causal inference methods.

A look at randomized methods for approximating Tukey's depth in complex data.

A method to improve predictions in data with missing outcomes.

A look at how expert opinions can guide decision-making.

A look into proving inequalities and estimating errors in mathematical models.

Researchers improve causal estimates using double-shrinkage estimation from diverse data sources.

A look into how connectivity changes in networks through percolation theory.

This article examines how hyperparameters influence variable selection methods in random forests.

A new approach boosts performance in data representation and transformation tasks.

Heckman-FA automates feature selection, improving predictions despite missing data.

Introducing ordered correlation forest for better analysis of ranked outcomes.

A look at the blend of online learning and kernel regression for complex data.

How statisticians use visualization to enhance their analysis and communication.

A new method for clustering large datasets effectively and efficiently.

A new method enhances the combination of discrete p-values for better research outcomes.

Learn how prediction intervals enhance forecasting accuracy and capture uncertainty.

This article discusses innovative methods for improving forecasting accuracy using features.

A look at new methods for analyzing seasonal data patterns.

A new method enhances decision tree accuracy and efficiency for large datasets.

A new method streamlines graph structure learning without heavy computational constraints.

A new method enhances predictions in complex dynamical systems.

Kac polynomials reveal intriguing patterns of roots and holes in mathematical analysis.

Explore Gibbs sampling and data augmentation in statistical modeling.

This article presents new findings in equivalence testing using conditional sampling.

Learn how classifiers help categorize data and improve accuracy.

A new approach improves decision trees using Bayesian thinking and search algorithms.

Revolutionize how we visualize high-dimensional data using prior knowledge.

This study examines how data processing affects healthcare research outcomes.

A new method for better data preprocessing in machine learning and statistics.

Examining the benefits and applications of non-stationary kernels in machine learning.

A method for efficient group sparse regression in data science.

Understanding surplus management and its impact on insurance companies' stability.

Differential privacy protects personal data during analysis, ensuring individual privacy.

Examining the impact of Gaussian processes in complex data environments.

Understanding and managing missing data is crucial for accurate research outcomes.

Learn about ROMC and its application in likelihood-free inference.

New methods for modeling copulas enhance data relationship analysis.