Statistics

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.

New methods improve analysis and forecasting of atmospheric chemistry data.

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.

New methods improve likelihood analysis in graphical models for complex 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.

Using CNNs to improve predictions of significant weather patterns.

Exploring random walks to analyze complex data structures effectively.

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

Examining methods to improve data accuracy in diverse clinical trials.

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

A new method improves analysis of tall data using simulations.

This study presents an efficient method for balancing updates in GAMLSS using adaptive step lengths.

Learn how to analyze changes in outcomes with a robust method.

A study on how various pollutants affect different demographics.

A new approach to understanding antibody responses aids public health decisions.

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.

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.

A new method improves approximations in Bayesian statistics for complex data analysis.

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

This article examines methods to estimate unknown heat sources from temperature data.

A dynamic approach reveals connections between brain function and individual characteristics.

A new method enhances tissue property estimation in medical imaging.