Latest Articles for Statistical Methods

Learn how to identify significant shifts in time series data effectively.

A method that improves prediction accuracy across diverse groups.

A guide to choosing SBI methods for biological data analysis.

A new way to express uncertainty in predictions using Conformal Prediction and Kriging methods.

A new method improves predictions for individualized treatment effectiveness.

Researchers analyze hybrid quantum systems using Feynman diagrams for deeper quantum understanding.

A look into Lévy processes and jump density estimation methods.

A guide to fairly measuring distances between mixed types of data.

HiGarrote offers a clear path to analyze complex experimental data efficiently.

A look at goodness-of-fit testing in data spread across multiple servers.

A new method improves sampling efficiency and accuracy in complex data sets.

A look at how variables impact machine learning predictions.

A new method addresses missing data issues in time series analysis effectively.

A new method allows safe data analysis for healthcare studies.

A look into kernel density estimation and its significance in complex data analysis.

A guide to effective time series forecasting using FlowScope.

CLIQUE enhances local variable importance analysis in machine learning.

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.