Statistics

A method for stable and reliable identification of communities in networks.

Analyzing the impact of real-time models during the COVID-19 pandemic.

Human activities are impacting narwhals' behavior through increased noise in their habitat.

New methods enhance accuracy in predicting extreme events across various fields.

A new method enhances identification of genetic variants related to Alzheimer's disease.

This research investigates how new features impact user interactions on platforms like WeChat.

A new method enhances data reliability in A/B testing.

Research reveals more frequent extreme heatwaves due to climate change.

Researchers introduce a new method for identifying trends in psychological data over time.

New methods speed up analysis of species interactions using ecological data.

Examining the impact of data removal on MCMC analysis conclusions.

Explore the significance of acceptance rate in the Metropolis algorithm for sampling.

A new approach to quantify risks in systems with uncertain parameters using Gaussian mixtures.

A look at using statistical models to evaluate athlete performance.

A new method enhances the analysis of point distributions in various fields.

A study on the limitations of Statcheck in verifying statistical results.

Accurate predictions depend on proper calibration to match probabilities with actual outcomes.

This article examines how sequence models gauge uncertainty in their outputs.

An overview of how the dynamic Laplacian analyzes changing data over time.

This article discusses the Data Addition Dilemma in healthcare machine learning.

Exploring flexible priors to improve predictions in Bayesian Last Layer models.

Combining Bayesian updating and surrogate modeling for improved model parameter estimation.

A new algorithm improves dataset efficiency for fine-tuning language models.

New methods improve electron behavior modeling using machine learning techniques.

Researchers introduce a new method for identifying trends in psychological data over time.

New methods enhance accuracy in predicting extreme events across various fields.

Improving data analysis accuracy while ensuring user privacy through ULDP.

A new method enhances data reliability in A/B testing.

Research reveals more frequent extreme heatwaves due to climate change.

Introducing a novel algorithm to identify causal relationships amidst hidden variables.

Introducing a robust test for assessing elliptical models in high-dimensional datasets.

A method to clarify causal relationships despite unmeasured factors.

A study on how information travels through social networks with community structures.

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.

An overview of the UCB algorithm and its stability in data collection.

Introducing a robust test for assessing elliptical models in high-dimensional datasets.

New methods improve tensor completion accuracy with fewer samples.

A new method improves model accuracy in statistical analysis.

A look at improved techniques for identifying changes in various systems.

A look at combining probabilities and their applications in various fields.

A clear look at bivariate copulas and their role in modeling relationships between random variables.

Learn effective methods for testing auto-calibration in regression models for finance and insurance.