Statistics

A new method improves treatment effectiveness estimates for biomarker-positive patients.

New methods improve accuracy in estimating poverty at local levels.

Exploring new methods for predicting state changes in dynamic environments.

How delays impact the efficiency of adaptive trial designs.

New techniques enhance subject clustering in complex datasets.

Studying the impact of climate on Magnolia Warbler migration timing.

Examining the link between time zones, sunlight exposure, and cancer rates in the U.S.

Research reveals complex relationships in language evolution through updated models and methods.

Learn how sampling techniques shape research and data analysis.

Improving the evaluation of Bayesian models through efficient calibration techniques.

A new method improves Bayesian analysis through effective data transformations.

A new method enhances model accuracy for diblock copolymer patterns using imaging data.

A new method improves factor selection in high-dimensional data.

Examining how UAV position changes affect communication quality and reliability.

A flexible approach to statistical modeling for diverse datasets.

Exploring methods for identifying shifts in time series across various fields.

A model improves predictions of treatment effects based on existing data.

A look at neural operators, focusing on injectivity and bijectivity.

Utilizing both private and public data enhances machine learning while ensuring privacy.

This article discusses analyzing treatment actions for better patient outcomes.

Examining Random Features Regression for better predictions and uncertainty tracking.

A new approach to graph classification using spectral features improves accuracy and simplifies analysis.

Introducing a new method for fair estimation of treatment effects in various fields.

A new method improves confidence in simulation-based model estimates.

Advanced methods enhance accuracy in health surveys, particularly for diabetes estimates.

A software package combines short and long-term survival data for better health decisions.

A new method improves treatment effectiveness estimates for biomarker-positive patients.

Learn how sketching algorithms simplify large data set analysis.

This research introduces new methods for predicting future values using NLAR models.

A new method improves speed and accuracy in U-statistics risk control.

A new method for measuring discretization errors using Wishart distribution.

Introducing a new method for fair estimation of treatment effects in various fields.

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.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

This research introduces new methods for predicting future values using NLAR models.

A new method improves speed and accuracy in U-statistics risk control.

This paper presents improved techniques for analyzing cointegrated time series relationships.

A new method for measuring discretization errors using Wishart distribution.

A deep dive into optimal transport methods and their applications.

New methods boost prediction accuracy using covariance functions.

A look at the effectiveness and limitations of debiased shrinkage estimators.

This study investigates how negative feedback can enhance graph traversal efficiency.