Statistics

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.

This article discusses the manipulations and flaws of PD plots in AI fairness.

Learn how Bayesian predictive decision synthesis enhances portfolio management.

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.

Combining tensor completion with uncertainty quantification for better data insights.

This article discusses methods used to address unknown data in various fields.

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.

PLCP offers reliable prediction sets across diverse populations, enhancing decision-making.

A new method enhances efficiency in protein sequence optimization.

A novel approach improves probabilistic forecasting for managing power systems.

Exploring the PAC-Bayesian framework's impact on machine learning generalization.

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.

CausalDiffAE improves control over image features through counterfactual generation.

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

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

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 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.

A fresh framework for studying point processes using random measures and functional analysis.

A look into modeling uncertainty with imprecise Markov semigroups.