Statistics

Analysis reveals irregularities in Turkey's presidential election, highlighting concerns of fairness.

A look at how excess mortality reveals the pandemic's true toll.

Methods to manage covariates in experiments for reliable results.

Exploring chaos in systems through stickiness and its implications.

This article presents a method for accurate mortality forecasting across multiple populations.

Web scraping provides essential data for understanding geographic trends and urban changes.

Examining how measurement timing influences experimental outcomes in social research.

Analyzing the effectiveness of regional data in understanding COVID-19 spread.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

A new framework enhances sampling efficiency in complex probability distributions.

A study of arrivals through point processes and their connection to continuous processes.

New approach improves stance detection accuracy across diverse topics.

Exploring the impact and methods of mortality data analysis.

This article simplifies Fisher Geometry and its importance for understanding statistical relationships.

A new method improves how we cluster data with numbers and categories.

A new method enhances efficiency in analyzing latent Gaussian models.

A new method enhances online learning efficiency for neural networks using low-rank approximations.

A new framework enhances sampling efficiency in complex probability distributions.

A new method leverages Johnson-Lindenstrauss matrices for extreme multiclass classification.

KrADagrad improves optimization efficiency in machine learning with lower resource needs.

Explore how Bayesian Networks improve insights across various fields, including medicine and biology.

Introducing a method that simplifies training neural networks with improved results.

A look at Clip21's role in enhancing differential privacy during model training.

A novel method improves understanding of predictions in healthcare time series data.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

Efficient surrogate modeling enhances predictions in complex scientific applications.

A look at how excess mortality reveals the pandemic's true toll.

New control charts improve monitoring of count data in various industries.

Methods to manage covariates in experiments for reliable results.

Methods to identify shifts in data with heavy tails.

This article presents a method for accurate mortality forecasting across multiple populations.

A study on business lifetimes and the impact of truncation effects.

A new method improves how we cluster data with numbers and categories.

How delays impact the efficiency of adaptive trial designs.

Exploring how biological systems process information through Bayesian inference.

A look at how patents fuel biotech growth in the UK.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A deep dive into GWIGF and RIGF applications and properties.

Methods to identify shifts in data with heavy tails.

Learn how Gaussian models reveal relationships between variables across different fields.

A look at how magnetorelaxometry imaging improves medical applications of nanoparticles.

New methods improve covariance estimation amid data challenges.

New statistical methods improve understanding of relationships among multiple factors.

A look at how consistency improves image generation in diffusion models.

This article discusses the significance of community detection in network analysis.