Statistics

This method improves the way we analyze and combine research findings.

An overview of behaviors in crowdsourcing communities and their impacts.

New methods boost disease modeling accuracy using historical peak data.

An analysis of the evolving NFT market and its trading behaviors.

A look at PCA and GEE in predicting mortality rates.

Exploring AI's role in Africa's fight against climate change challenges.

Exploring how engineers design safe marine structures amidst extreme ocean conditions.

A new method for faster earthquake data analysis and forecasting.

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.

Bayesian Federated Inference allows privacy-preserving survival analysis in cancer research.

The PWEXP package streamlines event prediction in clinical trials using piecewise exponential models.

A study on improving prediction accuracy for regression models.

A study on the effects of fractures on saltwater movement in freshwater zones.

A new approach to enhance learning in infinite-horizon average-reward MDPs.

Learn how to make better predictions and decisions by minimizing swap regret.

New methods improve accuracy in complex data modeling using simulation-based inference.

DyS combines strong performance and interpretability for effective survival analysis.

A look at how the Mb-SVRN method enhances data optimization and analysis.

Study explores how machine learning models predict CLABSI risk using hospital data.

A new tool for measuring cluster separation in data analysis.

This article presents a novel approach for identifying components in finite mixture models.

A study on the combined effects of air pollutants in California.

This method improves the way we analyze and combine research findings.

A method to identify treatment effects in high-dimensional health data.

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

This article discusses a novel framework for identifying drug side effects over time.

A new model proposes revenue sharing for copyright owners in generative AI.

New methods boost disease modeling accuracy using historical peak data.

A new approach to understanding evolving networks through autoregressive modeling.

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 techniques to enhance covariance matrix estimation in large datasets.

Explore the role of random tensors in analyzing complex, multi-dimensional data.

Learn how hidden Markov models and renewal processes aid in making accurate predictions.

A new method improves experimental design for better battery data collection.

A new approach to understanding evolving networks through autoregressive modeling.

This article presents a novel approach for identifying components in finite mixture models.

A method for estimating interactions in systems using noisy data.

This article discusses simulating Gaussian random fields in complex network structures.