Statistics

A review of methods for assessing time-to-event predictions in data science.

Research uncovers genetic factors linked to Parkinson's Disease, aiding potential treatment methods.

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.

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 discusses structures in graphs and introduces relative centrality for better analysis.

Learn how dimensionality reduction aids scientists in analyzing biological data.

Masked diffusion models show promise in generative modeling for text and images.

Introducing a new method for Bayesian neural networks that improves uncertainty modeling.

This method improves data selection in Bayesian optimization, enhancing efficiency and outcomes.

A new approach enhances the accuracy of language model evaluations.

This article explores overparameterization and its impact on model training efficiency.

This study evaluates survival analysis techniques using simple datasets with missing data.

A new method for central banks to improve monetary policy choices.

Examining better methods to analyze health treatment trials.

Explore the benefits and applications of conformal hyperrectangles for reliable predictions.

A method merging Gradient Boosting and Mixed Effects for precise area-level predictions.

A review of methods for assessing time-to-event predictions in data science.

Learn how VPR improves efficiency in Bayesian inference by updating prior information.

A fresh approach enhances community detection in sparse and imbalanced networks.

A look at how empirical processes help analyze data in various fields.

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.

This paper explores ways to better assess model calibration and predictive accuracy.

A look at how empirical processes help analyze data in various fields.

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.