Latest Articles for Statistics

Learn how adaptive conformal inference improves multi-step predictions in forecasting.

New methods improve the accuracy of estimating conditional densities in complex data.

A look into Bayesian modeling for time series data with correlated errors.

Combining parametric and nonparametric methods for better data analysis.

Discover how statistics shape our understanding of particle physics experiments.

This article discusses methods for safely sharing cumulative distribution functions.

A deep dive into causal effects estimation through weights and learned representations.

Researchers develop an efficient way to study species interactions with environmental factors.

Learn effective methods to find the best rewards at carnival games.

A novel approach to analyze heavy-tailed data using robust max statistics.

Research reveals insights into Markov chains, stability, and ergodicity.

Learn how the Proxy Pattern-Mixture Model addresses missing survey data.

Learn about the KS test, its types, and implications for data analysis.

An overview of maximum likelihood estimators for log-concave densities and their properties.

Explore the principles of information theory and its impact on various fields.

A new model improves efficiency in predicting events over time.

Exploring effective strategies for hyperparameter selection in transfer learning.

Discover how CCI improves multimedia quality assessments.

A new method for finding mathematical formulas using minimum description length.

This article examines missingness issues in simulation studies and offers practical solutions.

A look at improved clustering methods and their practical applications.

An analysis of the DM test and its limitations in forecast accuracy assessment.

Learn about average-link hierarchical clustering and its practical applications.

This paper addresses the lack of representation of certain groups in data.

Exploring how statistical concepts inform artificial intelligence and machine learning methods.

Learn how QMC and the median trick improve estimates in various fields.

Learn how tilted empirical risk enhances machine learning model performance.

Annealing Flow offers improved sampling techniques for complex distributions in various fields.

A new approach to generating data using flow matching and Bayesian methods.

A look into Hyperplane Distance Depth and its role in measuring centrality.

An engaging look at mathematical operators and their connection to averages.

Explore the significance of the Cayley transform in Lie group representations.

Discover the importance of classifier disagreement in improving model performance.

Learn how to choose important data for better results.

Learn how QAP connects data in various fields.

Analyzing shifts in life expectancy and birth rates for better planning.

Explore how causal models shape our decisions and actions.

Discover the wonders of random walks in cubes and hypercubes.

Discover the fascinating world of generalized Motzkin numbers and their colorful paths.

Discover a method that improves model selection and predictions in statistics.