Statistics

This article examines how scientists' journeys shape their academic success.

An overview of structured missingness in health research and its implications.

A look at wealth distribution and its impact on society and the environment.

A new filter improves tracking of moving targets in complex environments.

Research focuses on immune cell behavior to improve ovarian cancer treatment.

Understanding how social media shapes perceptions of information reliability.

Research reveals how sperm whales adapt vocal behaviors through social learning.

Study reveals links between daily patterns and health, especially diabetes.

New adaptive methods improve Bayesian inference with Hamiltonian Monte Carlo.

A new algorithm enhances the sampling of lattice points in polytopes.

A new framework combining static and dynamic models enhances time series analysis.

Learn about Hamiltonian Monte Carlo and its applications in statistics and science.

Learn about Spike-and-Slab Priors and their applications in Bayesian linear regression.

New methods improve sampling efficiency and accuracy in statistics.

This study evaluates how statFEM handles errors in complex models.

A new tool to adjust survey data for better population representation.

A new framework enhances predictions in healthcare using summary statistics.

This article discusses importance sampling and its role in maintaining data privacy.

An overview of structured missingness in health research and its implications.

A look into deep learning's key components and their interactions.

This article discusses additive decoders for identifying hidden patterns and generating images.

New research reveals the capabilities of Sumformer in improving Transformer efficiency.

This article examines how to assess AI models in healthcare by considering uncertainty in diagnosis.

A unified framework enhancing the capabilities of generative models.

A new framework enhances predictions in healthcare using summary statistics.

A new framework enhances the accuracy of travel behavior simulations in cities.

New adaptive methods improve Bayesian inference with Hamiltonian Monte Carlo.

A new method analyzes how environmental exposures affect health.

An overview of structured missingness in health research and its implications.

Learn effective strategies for drafting and scoring in fantasy basketball.

This article examines how to assess AI models in healthcare by considering uncertainty in diagnosis.

A novel approach enhances prediction reliability in complex data analysis.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

Learn how automation can simplify grading open-ended assignments for educators.

Overview of volatility models in geography, finance, and environmental science.

A look at Bayesian and Frequentist methods in statistics.

A straightforward look at how volatility affects investment decisions.

A new algorithm enhances the sampling of lattice points in polytopes.

An overview of hypergraphs and their applications in various fields.

A look at how the geometric median aids in robust data analysis.

A look at how cure rates affect treatment comparisons.

A method for locating change points in piecewise polynomial models with uncertainty quantification.

Learn about Hamiltonian Monte Carlo and its applications in statistics and science.

Learn how to assess model fit using methods like the Weibull distribution.