Statistics

A new approach to studying evolving relationships between countries through official visits.

A study on grading methods in a master’s deep learning course at CentraleSupélec.

This study examines how likes on Twitter may indicate coordinated inauthentic behavior.

A clear look at how systems fail over time using bathtub-shaped hazard rates.

Bounded metrics improve data safety while retaining utility for analysis.

A new method improves insights into gene interactions and spatial dependencies in tissues.

A new method improves estimates in environmental health research.

A method to identify errors in machine learning models using attention sets.

Learn how Latent Class Analysis uncovers patterns in categorical data.

An efficient method for estimating data in the presence of outliers.

Explore how weighted scoring rules improve forecast evaluations and decision-making.

Discover how combining Chi-square variables enhances data analysis across various fields.

A new method enhances uncertainty estimation in seismic modeling.

glmmPen simplifies the modeling of complex data with fixed and random factors.

A new approach improves analysis efficiency and accuracy in complex biomedical datasets.

Discover how SIS enhances the quality of MCMC samples.

A new method improves survival analysis by addressing competing risks effectively.

Exploring neural ordinary differential equations and their potential in deep learning.

Residual networks enhance deep learning by addressing challenges of increased depth.

Explore the critical role of learning rates in training neural networks.

A new approach to tackle NP-hard problems using hybrid models.

Spider GAN improves GAN training using structured image inputs for better results.

A new method improves predictions using expert insights despite noisy data labels.

A look into strategies for enhancing GAN training processes.

Nonparametric techniques enhance detection of changes in time series data.

Learn how Latent Class Analysis uncovers patterns in categorical data.

An efficient method for estimating data in the presence of outliers.

Exploring how machine learning enhances experimental design for psychological research.

This study reviews synthetic data generation methods for health research, focusing on privacy and quality.

A new method enhances accuracy in estimating health treatment effects.

glmmPen simplifies the modeling of complex data with fixed and random factors.

A new approach improves analysis efficiency and accuracy in complex biomedical datasets.

How too many measurements can mislead safety in projects.

Examining the conflict between data access and confidentiality in research.

Learn about advanced means and their role in data analysis.

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.

Learn about efficient and private methods for estimating entropy in data.

A method to detect changes in multiple data streams accurately and quickly.

Balancing privacy concerns with the need for effective data analysis.

Explore the concepts of flags and flagfolds in analyzing complex data structures.

This article explains the challenges of finite sample stickiness in statistical analysis.

A look at how mixture models can help analyze complex datasets.

An analysis of extreme events using max-stable time series and tail dependence coefficients.

An innovative approach combining offline and online reinforcement learning for improved decision-making.