Statistics

A new method for faster earthquake data analysis and forecasting.

A new method helps banks identify misleading loan records for better risk management.

Exploring GPT-4's effects on student learning and engagement in coding classes.

Research shows how NICU quality affects infant mortality rates among different mother groups.

This article discusses the importance of data practices for fairness in machine learning.

A new approach to identify anomalies in industrial data for better efficiency.

A study on ICU bed use during the COVID-19 pandemic.

A digital twin simulates hydrogen combustor behavior to improve gas turbine stability.

Examining MultiNest's issues and how to improve its results.

This article presents an innovative algorithm for efficient time series likelihood calculations.

New methods improve likelihood analysis in graphical models for complex data.

Bayesian Federated Inference allows privacy-preserving survival analysis in cancer research.

The PWEXP package streamlines event prediction in clinical trials using piecewise exponential models.

A study on improving prediction accuracy for regression models.

A study on the effects of fractures on saltwater movement in freshwater zones.

A new method to evaluate covariance functions efficiently in Gaussian processes.

This article presents a novel approach for identifying components in finite mixture models.

This article examines Neyman's methods for evaluating modern treatment rules tailored to individuals.

A new method enhances forecasting by generating data dynamically during training.

Techniques for refining data in machine learning for better efficiency and accuracy.

New methods improve likelihood analysis in graphical models for complex data.

A new method enhances movie recommendations by assessing uncertainty in group preferences.

Bayesian Federated Inference allows privacy-preserving survival analysis in cancer research.

This article presents a method to test independence in categorized data.

This article presents a novel approach for identifying components in finite mixture models.

This article examines Neyman's methods for evaluating modern treatment rules tailored to individuals.

This article presents an innovative algorithm for efficient time series likelihood calculations.

New methods improve likelihood analysis in graphical models for complex data.

Research shows how NICU quality affects infant mortality rates among different mother groups.

A new method enhances movie recommendations by assessing uncertainty in group preferences.

Bayesian Federated Inference allows privacy-preserving survival analysis in cancer research.

A new framework improves model selection consistency in statistics and machine learning.

A clear look at why switching doors is the winning strategy.

A project to improve survey representation of underrepresented groups in Liguria.

This article discusses methods for estimating changing parameters in dynamic systems using real-time data.

Introducing expected points and EPAA for assessing player contributions in basketball.

Understanding the complexities of evaluating single-treatment effects in factorial designs.

A look at how covariate adjustment clarifies research findings by managing confounding variables.

A method allowing adaptive statistical analysis without rigid model assumptions.

A new approach to boxplots ensures data privacy while maintaining insightful analysis.

This article presents a novel approach for identifying components in finite mixture models.

A method for estimating interactions in systems using noisy data.

This article discusses simulating Gaussian random fields in complex network structures.

A new method for better estimating relationships in high-dimensional data.

A study on improving prediction accuracy for regression models.

A new method to improve efficiency in combining sensor data.

A method to enhance the accuracy of statistical estimates efficiently.

This article examines U-Nets and their role in image processing using generative models.