Statistics

This study examines the link between market efficiency and random number generators.

Discover how new methods improve truss design efficiency and effectiveness.

This study highlights a new method to analyze brain age using imaging data.

This research focuses on maintaining fairness in algorithms through continuous auditing methods.

New methods improve understanding of brain damage and function relationships.

This study evaluates language models for quick power outage detection via social media.

This study combines random and opportunistic sampling for better species distribution predictions.

Transforming raw metrics into scores for better understanding in organizations.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

A new framework enhances sampling efficiency in complex probability distributions.

A study of arrivals through point processes and their connection to continuous processes.

New approach improves stance detection accuracy across diverse topics.

Exploring the impact and methods of mortality data analysis.

This article simplifies Fisher Geometry and its importance for understanding statistical relationships.

A new method improves how we cluster data with numbers and categories.

A new method enhances efficiency in analyzing latent Gaussian models.

Examining the issue of reward collapse in large language models and potential solutions.

This research focuses on maintaining fairness in algorithms through continuous auditing methods.

New SVGD variants enhance sampling efficiency for complex distributions.

A fresh framework for ensuring fairness in machine learning clustering.

Exploring why SGD excels in generalization compared to traditional methods.

New methods improve understanding of brain damage and function relationships.

A novel approach combines NMF and SDP for effective clustering.

Examining multinomial logistic regression's performance in high-dimensional settings and feature significance.

This research focuses on maintaining fairness in algorithms through continuous auditing methods.

A method that separates shared and unique features in diverse data sources.

A flexible framework for sensitivity analysis in observational studies.

Researchers enhance experiment design using reinforcement learning and new estimation techniques.

A new method improves accuracy in estimating monotonic functions through information sharing.

Examining multinomial logistic regression's performance in high-dimensional settings and feature significance.

New methods in machine learning improve understanding of breast cancer survival.

A new model improves the analysis of spatial data relationships.

Learn about advanced means and their role in data analysis.

A new method improves how we cluster data with numbers and categories.

How delays impact the efficiency of adaptive trial designs.

Exploring how biological systems process information through Bayesian inference.

A look at how patents fuel biotech growth in the UK.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Learn about advanced means and their role in data analysis.

Research on Lasso estimation improves group testing accuracy for COVID-19 detection.

New SVGD variants enhance sampling efficiency for complex distributions.

A fresh approach to analyze data using GLMs in complex scenarios.

Examining multinomial logistic regression's performance in high-dimensional settings and feature significance.

Improving decision-making through efficient human feedback collection in RL.

A new method to evaluate uniform distribution in data samples.

Research reveals the complexity of interactions in microbial communities.