Statistics

Scientists apply deep learning to assess plant species at risk due to climate change.

A new method improves reliability analysis for complex systems using advanced sampling and machine learning.

Exploring how regular exercise impacts hospital visits for COPD patients.

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 improves reliability analysis for complex systems using advanced sampling and machine learning.

A systematic approach to developing and using indexes in research.

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.

A new method improves reliability analysis for complex systems using advanced sampling and machine learning.

A new method enhances the identification of unfamiliar data in machine learning models.

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 introduces a method for identifying causal relationships using diverse data.

Exploring how regular exercise impacts hospital visits for COPD patients.

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.

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 into the complexities of species networks and gene transfer.

Exploring how regular exercise impacts hospital visits for COPD patients.

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.