Statistics

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.

Learn how linear models help analyze data and predict outcomes.

A new model improves uncertainty quantification in nuclear thermal-hydraulic systems.

This article examines how solar mini-grids improve life in rural Kenya and Nigeria.

Learn how MINTS addresses gaps in school enrollment data.

Study identifies diverse health conditions in stroke patients for better care.

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.

A concise overview of MCMC sampling methods and their applications.

A new approach improves understanding of microbiome data through Bayesian analysis.

Pavement rutting affects road safety and longevity, requiring better maintenance strategies.

SALSA improves efficiency in analyzing large datasets across various fields.

Research reveals simplicity bias impacts predictions in random logistic maps.

This study improves class prevalence estimation using kernel density estimation.

A new estimator improves efficiency in nonparametric regression models.

Introducing a new method for faster network analysis and reconstruction.

A new algorithm improves regression analysis while prioritizing data privacy.

A new method enhances the efficiency of calculating confidence sets in economic models.

A novel approach enhances estimates in research, focusing on gender gaps.

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

Explore alternative techniques for identifying regions of high data likelihood.

Learn how linear models help analyze data and predict outcomes.

A look at semi-confirmatory factor analysis and its advantages in data analysis.

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

MCEM helps reveal hidden genetic factors influencing health and disease.

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.

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.

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.

This paper examines error bounds in hierarchical Bayesian models for high-dimensional parameters.

This paper examines AMP's role in high-dimensional statistics, focusing on sparse and robust regression.

Innovative methods for estimating covariance matrices while protecting personal privacy.