Statistics

Combining survey data for better insights and reliable estimates.

DEMO design aims to enhance dose finding in oncology trials using biological markers.

A new machine learning approach improves accuracy in analyzing shoeprint impressions.

Analyzing treatments' costs and health outcomes together for better healthcare decisions.

A promising approach to categorize and estimate neuron responses in complex brain activity.

New method improves understanding of health effects from widespread pollution sources.

Research explores innovative methods to predict handball match results.

Study evaluates COVID-19 transmission and testing methods on campus.

An overview of profile likelihood and its application in statistical inference.

A guide to the methods of computing the generalized chi-square distribution.

Using quantum computing to enhance the identification of Minimal Cut Sets in engineering.

A novel technique accelerates the analysis of piecewise constant functions.

Examining how FRET reveals insights into molecular dynamics and behavior.

Analyzing rounding errors can improve the accuracy of low-precision calculations.

A look into Markov chains and MCMC's role in sampling and optimization.

Methods to provide reliable population estimates while ensuring respondent confidentiality.

Balancing quality and size in image and audio compression.

A new method improves how we assess causes of death in public health.

A look into new methods for pricing financial options using market data.

Examining the benefits of combining different data types in machine learning.

An overview of decision-making in combinatorial bandit problems.

A flexible approach to evaluate policies with limited data and logging policy uncertainty.

Study reveals how machine learning can enhance investment strategies and performance.

Discover NEON, a method improving uncertainty quantification in machine learning.

A framework to connect treatment effects and causal mechanisms in social science.

Combining survey data for better insights and reliable estimates.

DEMO design aims to enhance dose finding in oncology trials using biological markers.

Learn about correlations and their significance in various fields.

Learn how new methods improve predictions for random events and outcomes.

Analyzing treatments' costs and health outcomes together for better healthcare decisions.

Researchers develop methods to improve calibration of black hole and galaxy models.

Introducing flexible tests for assessing independence in complex datasets.

Learn how new methods improve predictions for random events and outcomes.

A comparison of distance measures for effective clustering analysis.

A clear look at why switching doors is the winning strategy.

A project to improve survey representation of underrepresented groups in Liguria.

This article discusses methods for estimating changing parameters in dynamic systems using real-time data.

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

Understanding the complexities of evaluating single-treatment effects in factorial designs.

A look at how covariate adjustment clarifies research findings by managing confounding variables.

Examining how noise affects quantum computing and the importance of fidelity standards.

Examining resampling techniques for better regression estimates and predictions.

Learn about correlations and their significance in various fields.

Using advanced statistical methods to integrate past data for better medical insights.

Discover how deterministic chaotic maps influence the emergence of normal distributions.

A look at how conditional distributions function with Gaussian random variables.

Research enhances methods for extracting frequencies from noisy signals.

An overview of bivariate quasi-copulas and their applications in various fields.