Latest Articles for Confidence Intervals

Exploring the use of profile likelihoods in analyzing cosmological parameters.

Optimal transport reshapes data science across multiple fields through efficient mass movement.

Learn how to effectively manage A/B experiment settings for reliable results.

Understanding infer-and-widen and split-and-condition for improved statistical conclusions.

A new approach for handling complex data with statistical analysis.

A look into RAI within the multi-armed bandit framework to optimize decision-making.

Learn how DML helps companies measure customer actions effectively.

A look at confidence intervals in few-shot learning and their impact on model evaluation.

Learn how to estimate values accurately from incomplete datasets.

Exploring new methods for estimating averages in the presence of outliers.

Reliable AI in medical imaging needs clear reports on performance variability.

CVTMLE combines TMLE and cross-validation for reliable causal estimates in research.

This paper discusses methods to reduce bias in observational studies with continuous treatments.

A novel approach to analyze heavy-tailed data using robust max statistics.

A comprehensive study comparing methods for estimating confidence intervals in machine learning models.

Exploring the significance of quantiles in data analysis.

Learn how statistics helps us make sense of data and uncertainty.

Analyzing the link between diabetes and Chronic Kidney Disease amidst various health factors.

Revolutionizing parameter estimation in particle physics with neural networks.

Learn essential techniques for effective machine learning evaluation.

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

Discover how scientists use simulations to study complex cosmic data.

New bootstrap method improves instrumental variable regression accuracy and reliability.

Learn how bootstrapping helps estimate uncertainty in statistics.

A guide to sandwich regression and its practical applications.

New methods improve accuracy in analyzing random functions across various fields.

A look at how confidence intervals and bootstrapping impact mediation analysis.

A new method for combining patient data to measure treatment effects effectively.

Exploring better methods for estimating treatment effects in research.