Statistics

A new approach to estimate extreme value distribution parameters using deep learning techniques.

A look at the meaning and implications of null results in scientific studies.

Discover how technology is changing auditing efficiency and accuracy.

A new model sheds light on connections in legislative cosponsorship.

A new method assesses when batters should swing at pitches for better outcomes.

A look into aligning forecasts for consistent and coherent predictions.

An overview of cryptocurrency market growth and dynamics.

Learn about data simulation methods for effective statistical modeling.

A look into aligning forecasts for consistent and coherent predictions.

Improving accuracy and efficiency in studying large molecular systems.

Learn about data simulation methods for effective statistical modeling.

Learn how Latent Class Analysis uncovers patterns in categorical data.

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

Explore how weighted scoring rules improve forecast evaluations and decision-making.

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

A new method enhances uncertainty estimation in seismic modeling.

A new variational method enhances image restoration from noise.

New framework enhances clustering methods for better predictions in data analysis.

A new approach to estimate extreme value distribution parameters using deep learning techniques.

A new method reduces errors in tree pruning under mixed data distributions.

This article explores interventional probability distributions and their role in causality.

Discover how technology is changing auditing efficiency and accuracy.

Federated Learning enhances model training while keeping user data private.

This article discusses a new algorithm for effective multi-agent cooperation.

Exploring new methods for random sampling in complex networks.

A look at the meaning and implications of null results in scientific studies.

Discover how technology is changing auditing efficiency and accuracy.

A novel method improves local outlier detection by considering spatial relationships.

A fresh approach to understanding causal links amid hidden factors.

A look into aligning forecasts for consistent and coherent predictions.

Learn how Bayesian methods improve predictions by addressing input uncertainty.

Learn how diverse counterfactual explanations clarify machine learning decisions for users.

Research examines how local interactions can simplify complex systems using image data.

This article explores interventional probability distributions and their role in causality.

How too many measurements can mislead safety in projects.

Examining the conflict between data access and confidentiality in research.

Learn about advanced means and their role in data analysis.

A new method improves how we cluster data with numbers and categories.

How delays impact the efficiency of adaptive trial designs.

Exploring how biological systems process information through Bayesian inference.

This article explores interventional probability distributions and their role in causality.

Discover how technology is changing auditing efficiency and accuracy.

Learn how Bayesian methods improve predictions by addressing input uncertainty.

A look at how stochastic blockmodels help analyze complex networks.

A look at maximum likelihood estimation principles in linear concentration models.

Learn how to analyze causal structures in complex data through directed graphs.

Discover how DNNs enhance predictions for weakly dependent data.

A new method tackles challenges in high-dimensional linear regression effectively.