Statistics

Introducing the ACRONYM model for better community detection and edge estimation.

Analyzing data to address school shooting trends and enhance prevention efforts.

Exploring how urban design impacts health and well-being through new research methods.

Combining data sources for better weather forecasts in the Philippines.

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

Learn how differential privacy can enhance data security in LLS regression.

Enhanced methods for estimating cyclone wind speeds using satellite data.

A study on how various pollutants affect different demographics.

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.

Discover a more effective way to handle missing data in research.

Examining MultiNest's issues and how to improve its results.

This article presents an innovative algorithm for efficient time series likelihood calculations.

VSGD combines traditional methods with probabilistic modeling for better deep learning optimization.

A method for identifying relevant features in subsets of data.

Introducing a fixed-point method for learning causal relationships without complex graphs.

New methods improve prediction accuracy and uncertainty measurement in data analysis.

This study proposes a new method for change point detection in complex datasets.

This paper discusses post-hoc selection methods for improving model performance.

Explore the workings and applications of diffusion models in data generation.

A new method improves analysis of tall data using simulations.

Learn how PTMs provide insights into complex relationships between variables.

A new method examines how social influences affect educational outcomes.

A fresh perspective on treatment outcomes and causation analysis.

A new method for analyzing variable relationships by including influencing factors.

A method to estimate probability distributions in uncertain systems.

A look at how dependence measures help analyze relationships between multiple variables.

New techniques simplify the calculation of the Wishart normalising constant in Bayesian models.

Exploring how urban design impacts health and well-being through new research methods.

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.

A method allowing adaptive statistical analysis without rigid model assumptions.

A look at how goodness-of-fit tests evaluate data against statistical models.

A method to estimate probability distributions in uncertain systems.

A look at how dependence measures help analyze relationships between multiple variables.

New techniques simplify the calculation of the Wishart normalising constant in Bayesian models.

A method for identifying relevant features in subsets of data.

Explore the principles and applications of Kernel Ridge Regression in various fields.

This study proposes a new method for change point detection in complex datasets.

Explore the workings and applications of diffusion models in data generation.