Statistics

Exploring the role of RDS in studying hard-to-reach trafficking populations.

A new model uses ECG data to predict atrial fibrillation risk effectively.

A software tool aids researchers in studying extreme weather events and their impact.

Understanding disease phases aids in effective public health responses.

The CAP method enhances flu outbreak predictions for better public health responses.

How automated vehicles are changing traffic behavior and management.

A look at new methods for assessing replication studies in scientific research.

A new dataset and library aim to personalize educational experiences through AI.

An overview of Bayesian neural networks and their importance in AI.

How Bayesian statistics aids in analyzing experimental data in physics.

Innovative techniques enhance analysis of stochastic differential equations and their uncertainty.

A fresh method for more accurate credit risk estimation and management.

New modeling technique improves understanding of long-term treatment effects.

A look at the EM algorithm and its Monte Carlo adaptation for handling missing data.

New methods improve sampling from complex distributions for accurate estimations.

Introducing a new method for faster network analysis and reconstruction.

MPHD improves Bayesian Optimization by using knowledge from different domains for better results.

Combining machine learning and OFDFT enhances molecular analysis efficiency and accuracy.

SFAVEL offers a self-supervised approach to automated fact checking.

This article explores how symmetries impact the learning behavior of neural networks.

Learn how machine learning improves predictions of water pH levels.

New methods improve hyperparameter tuning efficiency in large neural networks.

A new approach to improve prediction confidence in regression tasks.

An overview of Bayesian neural networks and their importance in AI.

A new method for measuring advertising reach effectively.

A software tool aids researchers in studying extreme weather events and their impact.

New adaptive method enhances treatment allocation fairness in SMART trials.

A new method enhances local variable selection for better scientific insights.

Innovative techniques enhance analysis of stochastic differential equations and their uncertainty.

A look at design choices in financial research and their impact on findings.

This study highlights the importance of variability in cognitive processes using advanced modeling techniques.

A look at new methods for assessing replication studies in scientific research.

Exploring geometric perspectives on correlation matrices for deeper insights.

This article presents a new method for selecting radius in complex data analysis.

Understanding the complexities and solutions in geospatial data analysis.

Examining how parts interact to create new outcomes in complex systems.

PORTSEA advances extreme value statistics, influencing various fields and education.

This article examines how gamification boosts student engagement in flipped classrooms.

A novel analysis method enhances the understanding of chronic diseases and health factors.

Examining the impact of academic skills on university enrollment in Italy.

An overview of Bayesian neural networks and their importance in AI.

Exploring statistical depth methods for fuzzy data and their applications.

Examining how random sets and belief functions affect decision-making in various fields.

Research reveals insights on data with many features and interdependencies.

Examining sample complexity in stochastic programming with heavy-tailed distributions.

This method simplifies log-concave density estimation using independent components.

Examining the complexities and strategies for neural network learning in various data types.

A look into spectral algorithms and their role in machine learning predictions.