Latest Articles for Statistical Analysis

Learn how importance weighting improves machine learning performance across various challenges.

Methods to improve location estimation amid skewed data and outliers.

A study on how Gaussian Processes identify brightness changes in Active Galactic Nuclei.

Exploring methods to achieve fairness in classification systems without sacrificing performance.

Exploring how noise affects changes in fluid flow behaviors and patterns.

New methods boost time series forecasting accuracy through improved token analysis.

A study examines how instrumental variables can refine propensity score models in drug research.

Introducing a framework for resilient statistical tests against outliers and weak instruments in research.

This article analyzes how syntax reveals connections between languages and the impact of geography.

A new method improves SVM training speed and accuracy with large datasets.

A new framework to evaluate biases in causal effect estimates.

A new method enhances time-series forecasting through effective data augmentation.

Examining resampling techniques for better regression estimates and predictions.

A fresh perspective on the inner workings of neural networks.

A look into finding rational points on hyperelliptic curves using advanced mathematical methods.

A look into the behavior of diffusions and their practical applications.

This approach improves understanding of chemical effects on animal behavior.

Learn how to rank opinions and choices fairly using statistical principles.

This article examines methods to estimate statistical error in particle tracing simulations.

Exploring the behavior of random groups through fixed-point properties and density models.

New methods enhance regression analysis using covariance matrices for complex data sets.

This article discusses online learning algorithms for evolving data scenarios.

Research explores how gene expression influences development in ascidian embryos.

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.