Latest Articles for Statistics

An efficient method for estimating data in the presence of outliers.

Discover how combining Chi-square variables enhances data analysis across various fields.

Learn about efficient and private methods for estimating entropy in data.

Explore the significance and implications of quadratic congruences in number theory.

A new method improves predictions using expert insights despite noisy data labels.

Learn a new method for estimating marginal likelihood in Bayesian models.

New methods improve how we spot unusual patterns in data.

A new method enhances correlation calculations with missing biological data.

Structured labels enhance classification performance in machine learning tasks.

A new method improves data analysis in various fields through seasonal Gaussian processes.

A new method for selecting variables and groups in high-dimensional data.

A new method combines experts to improve predictions in imbalanced regression tasks.

Using neural networks to approximate likelihood ratios for better scientific decision-making.

A study on making predictions using Bayesian neural networks with challenging weight distributions.

A new method for testing network model fit enhances accuracy and insights.

Discover how SIS enhances the quality of MCMC samples.

Explore the concepts of flags and flagfolds in analyzing complex data structures.

A look at how mixture models can help analyze complex datasets.

An analysis of extreme events using max-stable time series and tail dependence coefficients.

A fresh approach leverages optimal transport to improve parameter learning.

Exploring how signature transform enhances feature selection in Lasso regression.

A novel approach improves accuracy in identifying causality from complex data.

Analyzing uncertainty through probabilistic models in various fields.

Exploring the impact of data dependence on linear regression performance.

A look at regularization methods improving stability in data analysis.

A look at generalization error and its significance in learning algorithms.

A new approach improves identification of unusual financial data points using cumulants.

Exploring the role of moment restrictions in statistical estimation.

A method to identify issues in data collection for improved analysis.

Learn how optimal transport aids in linking different data distributions effectively.

Anansi framework improves clarity and power in analyzing complex biological data.

New findings in mathematics reshape our understanding of random vectors.

Learn how Restricted Kernel Machines improve multi-view data analysis.

This article discusses key issues in identifying linear systems through data.

This article discusses multilabel learning and methods to handle class imbalance.

A new method to improve interpretability in GAMs by tackling concurvity.

Explore the fascinating study of lattice point distribution and its implications.

Explore the unique aspects of free probability and its applications.

This paper presents a novel method for distribution approximation using Kernel Stein Discrepancy.

A new method enhances population estimates in small areas using existing data.