Statistics

An overview of cryptocurrency market growth and dynamics.

Learn about data simulation methods for effective statistical modeling.

A new method enhances predictions for ICU patients’ physiological responses using existing data.

A look at how varying treatments affect health outcomes over time.

Learn how output space-filling designs enhance scientific experiments.

A study comparing XGBoost and Random Forests for hydrological predictions.

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.

Learn about data simulation methods for effective statistical modeling.

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.

Learn how to manage overfitting for better model performance.

Research reveals challenges in learning distributions of brickwork random quantum circuits.

A new method enhances model fairness across different user groups in machine learning.

Discover how DNNs enhance predictions for weakly dependent data.

A new method tackles challenges in high-dimensional linear regression effectively.

Examining methods for managing missing data and their impact on correlation visualizations.

Learn how NUBO helps researchers optimize costly evaluations using Bayesian techniques.

A new framework improves accuracy and coherence in hierarchical forecasting using neural networks.

This article presents a method to improve causal analysis in subsampled time-series data.

Learn how to select the best random graph model for network data analysis.

Learn about data simulation methods for effective statistical modeling.

Explore the unique features and applications of Lévy processes in various fields.

A new method tackles challenges in high-dimensional linear regression effectively.

Introducing a novel model to analyze causality in low-resolution event data.

A look at how varying treatments affect health outcomes over time.

Learn how output space-filling designs enhance scientific experiments.

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.

A look at how stochastic blockmodels help analyze complex networks.

A look at maximum likelihood estimation principles in linear concentration models.

Learn how to analyze causal structures in complex data through directed graphs.

Discover how DNNs enhance predictions for weakly dependent data.

A new method tackles challenges in high-dimensional linear regression effectively.

This article discusses the impact of missing data and sensitivity analysis in research.

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

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