Latest Articles for Statistical Methods

New research shows low-performing models can offer valuable insights into feature importance.

Learn how Bayesian filtering tackles noisy observations to estimate system states.

A method to identify data changes across sensors with minimal false alarms.

Explore adaptive conformal inference and confidence predictors for reliable data predictions.

A look into DrMMD and its application for better data distribution modeling.

A new method for assessing generative models using non-parametric tests.

Innovative methods to analyze economic shifts despite data challenges.

A deeper look at ICS for effective data analysis across multiple groups.

Introducing a method to enhance privacy without sacrificing model accuracy.

Introducing a flexible method to estimate causal effects over time using advanced techniques.

GephiForR enhances network analysis in R with improved visualization features.

A deep dive into managing extreme losses in finance.

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.