Statistics

A method highlights the importance of hospitalization patterns in assessing death risk.

A study on improving trap placement for better WNV monitoring.

Studying how age and mutations affect myeloproliferative neoplasms.

Bayesian emulators enhance decision-making in petroleum well control under uncertainty.

A method to detect overheating in marine motors amidst changing conditions.

Researchers improve reliability testing of one-shot devices using innovative statistical methods.

A study on advanced methods for evaluating basketball players' contributions.

A detailed analysis of ODI cricket's performance trends over 36 years.

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

New method improves efficiency in comparing complex data sets.

A new framework enhances hypothesis testing in additive regression models.

A look at key data pipeline tools and their roles in data engineering.

A new approach enhances MCMC sampling efficiency using Riemannian geometry.

This article discusses innovative methods for better statistical analysis of grouped data.

Learn how data augmentation algorithms improve data analysis and model building.

A new method combines divide-and-conquer MCMC with diffusion models for better sampling.

This article explores the challenges of achieving fairness in machine learning across different demographic groups.

Introducing a model that combines tree-based transforms for effective outcome generation.

Introducing new solvers for efficient optimal transport in machine learning.

Examining how training influences model performance in adversarial situations.

A novel approach to clustering using multi-view stochastic block models.

Innovative approach to create effective acquisition functions for Bayesian optimization.

A look into how Bayesian optimization addresses high-dimensional challenges.

Researchers use FlowMM to predict and create new crystalline materials efficiently.

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

A novel approach to enhance parameter estimates while measuring uncertainty in complex models.

A method highlights the importance of hospitalization patterns in assessing death risk.

A new method enhances Markov modeling by addressing limitations in analyzing complex time series data.

A new methodology improves treatment evaluation for personalized medicine.

A study on reducing counterfactual harm in decision-making tools.

AI is improving treatment choices in clinical settings using RCT data.

A new method makes causal relationship analysis more efficient and manageable.

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.

Exploring efficient statistical methods for better predictions in machine learning.

A detailed look at the performance of the Least Squares Estimator under constraints.

Analyzing the Elo rating system's behavior and its impact on competitive tournaments.

Examining the role of clear definitions in statistical analysis.

Understanding how context influences decision-making through contextual continuum bandits.

New algorithms improve understanding of variable relationships in causal discovery.

This research discusses federated learning's role in protecting privacy during data analysis.

New methods for statistical testing while protecting data privacy through federated learning.