Statistics

New models improve understanding of cancer patient survival and treatment effects.

A new algorithm streamlines updates for species distribution models in conservation.

A study challenges common views on how education affects social mobility.

A look into how citation models can improve understanding of research impact.

Introducing the SPAR model for better understanding of rare joint extreme events.

A new method to analyze relationships in incomplete insurance claims data.

A flexible approach to studying dengue and chikungunya in Southeast Brazil.

A statistical model improves analysis of demographic data across various groups.

New models improve understanding of cancer patient survival and treatment effects.

Exploring how optimal design improves Bayesian parameter estimation techniques.

A new method enhances simulation speed and accuracy across various scientific fields.

This article presents a method for parameter estimation in the Hawkes process using discrete observations.

CGLASSO offers improved ways to study brain activity and connectivity.

A new approach enhances Hamiltonian system modeling despite noisy data.

Learn how long memory influences predictions in various fields.

A method combining PCA and statistical depth improves outlier detection in data analysis.

A look into tree-based varying coefficient models for better data insights.

New methods help estimate causal effects when some factors remain unmeasured.

Using deep learning for better basket option pricing accuracy.

This article examines the evolution of Hebbian learning in neural networks.

A look into the essential theory behind deep learning models.

This paper discusses enhancing stochastic optimization through recurrent data sampling and regularization methods.

This article examines the impact of dataset characteristics on machine learning model accuracy.

This article discusses the impact of data under-reporting on fairness in predictive models.

This article introduces a method for identifying causal relationships using diverse data.

This study questions the preference for AUPRC over AUROC in imbalanced datasets.

New models improve understanding of cancer patient survival and treatment effects.

New methods help estimate causal effects when some factors remain unmeasured.

A look at how these models analyze complex data structures across various fields.

A novel approach to identify confounders through unstructured text analysis.

New methods enhance the evaluation of AI model explanations.

A study challenges common views on how education affects social mobility.

Understanding the complexities and solutions in geospatial data analysis.

Examining how parts interact to create new outcomes in complex systems.

PORTSEA advances extreme value statistics, influencing various fields and education.

This article examines how gamification boosts student engagement in flipped classrooms.

A novel analysis method enhances the understanding of chronic diseases and health factors.

Examining the impact of academic skills on university enrollment in Italy.

Learn how to analyze and manage risks in finance and business.

Methods to improve location estimation amid skewed data and outliers.

A look at how these models analyze complex data structures across various fields.

A new method enhances treatment effect analysis in small samples.

A look into the essential theory behind deep learning models.

Learn how nonparametric regression can adapt to constraints for better predictions.

New methods improve signal separation from mixed sources, tackling noise challenges effectively.

This study presents improved methods for estimating Tsallis entropy across independent exponential populations.

Methods to tackle challenges in statistical analyses with dependent data.

A new approach to assess machine learning models without labeled data.