Statistics

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.

Research reveals the oral microbiome's impact on health and disease.

A fresh method for analyzing historical foehn wind occurrences using data analysis.

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.

Exploring the latest developments in models for processing long sequences of data.

This study examines how task similarity affects continual learning in neural networks.

A new method improves covariance matrix estimation without strict assumptions.

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

An overview of neural networks, their structure, and applications across various fields.

Algorithms balance approximation quality and consistency in dynamic environments.

This article discusses creating reliable hypothesis tests despite data corruption.

An overview of decision-making under uncertainty with the streaming model.

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

This article discusses methods for identifying causal links in linear non-Gaussian models.

New methods improve accuracy and efficiency in simulations using varying fidelity levels.

A new factor model improves data analysis over time.

A novel method enhances the accuracy of treatment effect estimates over time.

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 method for detailed signal analysis over time and frequency.

New methods enhance understanding of the universe through weak gravitational lensing data.

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.