Latest Articles for Statistical Analysis

A look at new methods for calculating confidence intervals in mechanical shock testing.

A look at the importance of permutation tests in time series analysis.

Analyzing eigenvalues and eigenvectors of complex order-three random tensors.

A novel Bayesian approach improves sample size estimation in clinical trials.

Examining past climate changes using oxygen isotope ratios in ocean sediments.

This article examines how noise influences shuffled and unlinked regression methods.

Study reveals how waves behave in unevenly mixed materials like sea ice.

A comprehensive study of daily temperature variations across India over 72 years.

Exploring bounded uniform and small-bias distributions in pseudorandomness research.

Insights into how scientists analyze virus genetic changes.

FAITH model improves predictions by separating trends and seasonal patterns in time series data.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

Researching how stars and planets form through protoplanetary disks and infrared light analysis.

New framework helps protect sensitive summary statistics during data sharing.

A new method enhances forecasting by generating data dynamically during training.

A new framework tackles challenges in handling significant data changes.

A new method improves the comparison of observational studies and randomized trials.

Examining how uncertainty about climate policies affects economic decisions and growth.

A method to enhance accuracy in clinical equivalence testing through model averaging.

Exploring the role of gradient descent in stochastic optimization and its implications for sample size.

A new method enhances task detection in real-time machine learning.

A study on TbCo thin films using advanced analytical techniques for structural insights.

A study on complex systems using Birkhoff averages and Hausdorff dimensions.

Learn how mathematical models help manage infectious disease outbreaks.

Learn how Julia boosts Stata's statistical capabilities for large datasets.

Examining how limited data affects understanding patient transitions in health studies.

Scientists examine methods to detect artificial signals from galaxies.

A look into non-orientable surfaces and their unique properties in geometry.

A new method to improve optimization in uncertain systems using few trials.

A project aiming to simplify access to Swiss government data in multiple languages.

A new method for assessing policy impacts using staggered treatment strategies.

Analyzing how initial randomness influences solution behavior in the cubic Szego equation.

Improved algorithms for DC programming enhance optimization in machine learning and image processing.

A look at how Bayesian MS-VAR models enhance economic predictions.

Examining the saturation effect in Kernel Ridge Regression and its implications for predictions.

Introducing expected points and EPAA for assessing player contributions in basketball.

Discover how LoCalPFN improves transformer performance on tabular data.

A new method enhances data sampling for complex models with dependent variables.

This article discusses methods for creating narrow prediction intervals in changing data conditions.

Learn how extremiles help measure risk in finance and insurance.