Statistics

A new model enhances clinical outcome predictions for patients with Multiple Myeloma.

A new approach to boxplots ensures data privacy while maintaining insightful analysis.

A look at how companies in Europe are rated on sustainability.

Seamless design aims to speed up cancer treatment development.

A new method improves understanding of treatment effects by merging RCT and observational data.

A new method improves accuracy in predicting state transitions using Markov chains.

Researchers use NN-CDFs to study neutrino sources more effectively.

A new method enhances outcome selection in observational studies to minimize biases.

GMR offers a fresh approach to studying multiple factors and outcomes in research.

A look at how companies in Europe are rated on sustainability.

Learn how Bayesian online learning adapts models with incoming data.

A new model enhances the analysis of complex health data.

New tools improve efficiency using lower precision in computations for research.

Examining methods to analyze jets from high-energy particle collisions.

Research highlights the importance of biomarkers in detecting Alzheimer's disease early.

New method improves efficiency in comparing complex data sets.

A new method for better article recommendations using historical user data.

Examining the role of matrix manifolds in enhancing deep learning models.

New algorithms improve online linear regression for dynamic environments.

New methods improve efficiency in solving complex equations through data-driven models.

A new method improves variational inference for complex data relationships.

Assessing how deferring to human experts affects prediction accuracy in ML models.

CALDERA offers efficient model compression while preserving performance for limited-resource environments.

A look at the FedQ-Advantage algorithm in federated reinforcement learning.

Investigating treatment effects and their variations among diverse populations using innovative approaches.

A look at causal effects in exchangeable data settings and their implications.

A method allowing adaptive statistical analysis without rigid model assumptions.

A new model enhances clinical outcome predictions for patients with Multiple Myeloma.

A new approach to boxplots ensures data privacy while maintaining insightful analysis.

GMR offers a fresh approach to studying multiple factors and outcomes in research.

Introducing a method that integrates machine learning with traditional statistics effectively.

Seamless design aims to speed up cancer treatment development.

A method allowing adaptive statistical analysis without rigid model assumptions.

A new approach to boxplots ensures data privacy while maintaining insightful analysis.

This research develops methods for fair resource allocation despite limited user feedback.

A look into how the estimand framework improves clinical trial analysis.

A fresh approach to understanding complex human connections through fuzzy social network analysis.

A study on how Park-and-Ride can reduce congestion and emissions.

Information significantly impacts decision-making processes across various fields.

Benford's Law reveals odd patterns in first digits across data sets.

A new factor model improves data analysis over time.

A look at nonparametric regression methods using geometric graphs and Bayesian approaches.

This study focuses on OTA computing to improve device communication in networks.

Exploring causal spaces and their implications for understanding systems and interactions.

Examining vulnerabilities from clean-label backdoor attacks and how generalization bounds can help.

Random matrices unlock new approaches for solving complex problems in various fields.

A new method enhances outcome selection in observational studies to minimize biases.

This article discusses adaptive MCMC methods and their applications in complex distributions.