Statistics

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.

New methods improve weather forecasts using data assimilation techniques.

This method improves the way we analyze and combine research findings.

An overview of behaviors in crowdsourcing communities and their impacts.

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.

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

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

A look at under-bagging as a solution for imbalanced data in machine learning.

Simformer improves inference methods by addressing challenges in simulation-based analysis.

A look at differential privacy and its application in machine learning.

A new model reveals how deep networks learn efficiently from structured, sparse data.

A detailed look at clustering evaluation and the role of Relative Validity Indices.

Causal chambers provide real data for validating AI methods through controlled experiments.

Exploring the methods used for feature attribution in neural networks.

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

A new method enhances the accuracy of identifying mutational signatures in cancer genomics.

New research highlights how alcohol affects metabolite levels in relation to heart health.

A method to analyze relationships in complex systems across various fields.

Researchers introduce a model-free test for isotropy in spatial point processes.

A flexible method to enhance quantile regression accuracy and interpretation.

This study presents a method to better estimate point density in spatial data.

A new method improves cause identification in complex automated systems.

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.

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.

Learn how hidden Markov models and renewal processes aid in making accurate predictions.

A new method improves experimental design for better battery data collection.