Latest Articles for Statistical Methods

A closer look at the benefits and challenges of Propensity Score Matching.

An overview of local dimensions and their role in analyzing chaotic systems.

New method improves reliability in testing mediation effects with real data.

Learn how G-computation helps maintain fairness in clinical trial evaluations.

Learn how Causal Effect Estimation and Active Learning improve decision-making.

Improved hashing method enhances data sampling accuracy and efficiency.

Predicting death rates aids in planning pensions and healthcare for an aging population.

A practical guide to analyzing compositional data using Bayesian multilevel models.

Researchers use quantum coin tosses for faster partition function estimations in complex systems.

An overview of how ensemble forecasts improve weather predictions.

A new method improves evaluation of generative models with limited labeled data.

A groundbreaking approach to analyzing biological data with zero counts and feature interactions.

Learn how multiple imputation helps with missing data in studies.

A new approach improves forecasting accuracy through Reconciliation and Conformal Prediction.

A new method improves change-point detection in intermittent time series analysis.

Learn how VEB streamlines data analysis for better insights.

Learn how to manage missing data for reliable health risk predictions.

Learn how the linear-transformation model protects data privacy during analysis.

A new algorithm boosts accuracy in adaptive treatment allocation.

New methods enhance predictions in complex systems using state-space models.

A novel method enhances precision matrix estimation using limited data through transfer learning.

Learn how STS transforms decision-making in complex optimization tasks.

A study on handling errors in inverse problems affected by noise.

Discover how privacy methods enhance data analysis without compromising individual information.

This article discusses how covariates affect ROC curves and presents a new testing method.

A tool for estimating cancer risks based on genetic markers and family history.

A guide to grasping skewness and its impact on data interpretation.

UTSD transforms time series analysis by unifying multiple data sources.

Comparing ways to calculate posterior probabilities in clinical trials to improve patient outcomes.

Neutrinos, elusive particles, hold key insights into the universe's nature and evolution.

Discover the innovative GB-TWKSVC for efficient multi-class data classification.

Discover how Bayesian Amplitude Estimation enhances quantum computing accuracy amidst noise.

New methods improve the study of species relationships using tree distributions.

Learn about foundation models and how conformal prediction ensures reliable outcomes.

A fresh method enhances our grasp of particle physics.

Learn how attenuation bias affects our view of the universe.

A Bayesian method improves orientation estimation in cryo-EM and cryo-ET techniques.

New risk certificates improve contrastive learning model reliability and understanding.

A new model revolutionizes tensor data handling for researchers and scientists.

Learn how robust estimation improves data analysis in various fields.