Statistics

A study on how various pollutants affect different demographics.

New methods improve analysis and forecasting of atmospheric chemistry data.

A new method using Bayesian networks enhances system identification and prediction.

This paper reviews the effects of right-to-carry laws on gun violence in the U.S.

This article examines methods to estimate unknown heat sources from temperature data.

A dynamic approach reveals connections between brain function and individual characteristics.

Enhancements to Greenland-Longnecker and Hamling methods improve accuracy in meta-analysis.

A new method enhances tissue property estimation in medical imaging.

Examining how FRET reveals insights into molecular dynamics and behavior.

Analyzing rounding errors can improve the accuracy of low-precision calculations.

A look into Markov chains and MCMC's role in sampling and optimization.

Methods to provide reliable population estimates while ensuring respondent confidentiality.

Discover a more effective way to handle missing data in research.

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.

Learn how to analyze changes in outcomes with a robust method.

New methods improve analysis and forecasting of atmospheric chemistry data.

A new method improves approximations in Bayesian statistics for complex data analysis.

New method improves neural networks' performance against adversarial attacks.

A new approach combines privacy protections with contextual bandit learning.

New neural architectures enhance modeling of interacting particle systems.

Learn how random projections aid in analyzing complex relationships in large data sets.

This article discusses the importance of fairness in machine learning predictions.

Learn how to analyze changes in outcomes with a robust method.

A study on how various pollutants affect different demographics.

A new approach to understanding antibody responses aids public health decisions.

New method improves accuracy in spatial data analysis, addressing key public health challenges.

This article examines how diet and physical activity relate to body mass index.

A novel approach identifies areas with increased disease risk over time.

A flexible model improves understanding of node interactions in bipartite networks.

This article discusses the importance of fairness in machine learning predictions.

A comparison of distance measures for effective clustering analysis.

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 method improves approximations in Bayesian statistics for complex data analysis.

This article examines how noise influences shuffled and unlinked regression methods.

This article examines methods to estimate unknown heat sources from temperature data.

A dynamic approach reveals connections between brain function and individual characteristics.

A new method enhances tissue property estimation in medical imaging.

A guide to feature importance and its role in model predictions.

Explore techniques to enhance covariance matrix estimation in large datasets.

Explore the role of random tensors in analyzing complex, multi-dimensional data.