Statistics

A novel approach to ensure fair predictions in urban mobility analysis.

AWAIRE offers a fresh approach to verify IRV election results without detailed records.

A look at how SHAP and CEN improve data analysis insights.

A new method using radar data enhances predictions of extreme rainfall events.

SMC-EEM offers a faster way to model complex ecosystems.

This article examines the factors influencing blood pressure using advanced statistical methods.

A study examines how speeding habits differ globally and their impact on road safety.

Simulations help analyze how diseases spread and improve public health responses.

Discover how Gaussian graphical models analyze relationships in paired data.

A new method for drawing insights from summarized data using Gibbs sampling.

Synthetic data generation enhances privacy while enabling valuable data analysis.

This article discusses the role and challenges of hypo-elliptic stochastic differential equations.

Research on reservoir computing focuses on optimizing network designs for improved machine learning.

A new algorithm improves the estimation of homology from noisy data points.

A look at methods for analyzing large spatial datasets and their challenges.

Advancements in testing methods enhance understanding of variable relationships.

An overview of how information geometry can enhance machine learning techniques.

Exploring the complexities and solutions of machine unlearning for user data privacy.

This research focuses on improving efficiency and privacy in federated learning through adaptive compression methods.

Analyzing how rare examples affect prediction accuracy in machine learning.

A look at how SHAP and CEN improve data analysis insights.

Methods to improve learning models amidst data shifts in various fields.

Introducing LUQ-Learning, an approach that integrates patient choices in healthcare.

Learn how PPSR protects data privacy in symbolic regression tasks.

New methods improve clinical trial data analysis through active learning techniques.

AWAIRE offers a fresh approach to verify IRV election results without detailed records.

A new method using radar data enhances predictions of extreme rainfall events.

Learn effective methods for analyzing grouped data with emphasis on parameter estimation.

A new method improves accuracy in non-probability samples by combining data sources.

New methods enhance regression analysis in the presence of outliers.

Introducing LUQ-Learning, an approach that integrates patient choices in healthcare.

A new method improves prediction accuracy for insurance claims and costs.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

Learn how automation can simplify grading open-ended assignments for educators.

Overview of volatility models in geography, finance, and environmental science.

A look at Bayesian and Frequentist methods in statistics.

New spectral approach enhances multivariate Matérn models for spatial data analysis.

Explore different methods in causal modeling and their significance for research.

An overview of how information geometry can enhance machine learning techniques.

Learn effective methods for analyzing grouped data with emphasis on parameter estimation.

A look into the random walk Metropolis-Hastings algorithm for statistical sampling.

A new approach for better estimates in statistical modeling of complex data.

This article examines two methods for studying data shapes: information geometry and Wasserstein geometry.

Robust methods improve analysis of one-shot devices and their failure rates.

Examining how human feedback shapes decision-making reward systems.

Identifiability and falsifiability are crucial in Bayesian model growth.