Statistics

This article outlines methods for detecting and localizing oscillations in power systems.

Examining the impact of personalized pricing on business success and competition.

Examining how upselling affects user behavior and platform revenue.

This study assesses the impact of social connections on individual outcomes.

A study analyzing COVID-19's influence on death rates from various causes.

Learn how DML helps companies measure customer actions effectively.

A new model reflects the true complexity of player contributions on the field.

MOBOLFI enhances decision-making insights using multiple data sources efficiently.

A method to enhance simulations using Bayesian ideas and active learning.

Explore the psvmSDR package for efficient variable reduction in data analysis.

This study assesses the impact of social connections on individual outcomes.

A new method enhances temperature selection for efficient statistical sampling.

This article discusses dataset distillation and its importance in various fields.

Learn how agent-based modeling and random numbers aid health research.

A new method to improve sampling in complex Bayesian inverse problems.

Learn how to analyze panel data using partially observed Markov processes.

This paper presents a method to enhance fairness in multi-output machine learning models.

New technologies aim to improve care for patients with rare gynecological cancers.

Prosumers balance energy supply and demand in Iran's challenging market.

A look into kernel regression's challenges and insights in high-dimensional settings.

A new method enhances the analysis of functional data by accounting for directionality.

Examining how flexibility in models enhances predictive accuracy through dynamic adjustments.

A new method enhances generative models by integrating physical rules for realistic movement.

Explore the psvmSDR package for efficient variable reduction in data analysis.

Harden helps users track behaviors and thoughts to combat addiction.

A new method enhances the analysis of functional data by accounting for directionality.

Discover methods to analyze complex, non-uniform data across different areas.

Examining how case-mix affects prediction model performance in healthcare.

A new approach for modeling spatial data with direction-specific relationships.

A look at the ICS technique for analyzing multivariate data.

Researchers develop innovative ways to assess cancer therapy survival rates.

Learn how DML helps companies measure customer actions effectively.

Examining how scatterers affect wireless signal quality in various environments.

Learn how motion affects wireless communication signals and their reliability.

Discover strategies to improve your odds in Hopscotch and Warships.

New forecasting methods enhance demand prediction accuracy and inventory management.

A guide to efficiently format academic submissions using elsarticle.cls.

A look at the Ornstein-Uhlenbeck process and its real-world applications.

New adaptive detection algorithms improve target identification in complex environments.

A new method improves estimation of population characteristics using mixed sampling data.

A look into kernel regression's challenges and insights in high-dimensional settings.

A new method enhances the analysis of functional data by accounting for directionality.

Discover methods to analyze complex, non-uniform data across different areas.

Patient-specific models enhance understanding of heart blood flow and treatment strategies.

New methods improve signal recovery from noisy data without noise distribution knowledge.

A look into DPPs and their role in selecting diverse item groups.

A guide to understanding sparse regularized linear regression and its applications in data analysis.

Combining generative modelling and quantile regression for effective data generation.