Latest Articles for Statistical Modeling

A guide to network inference and the hub model's role in analyzing group dynamics.

New methods enhance reliability analysis in aerospace using deep Gaussian processes.

A new model enhances assessment of hail damage for insurance companies.

Advancements in testing methods enhance understanding of variable relationships.

A new method for training MFA improves efficiency in high-dimensional data analysis.

This article reviews active learning's role in global sensitivity analysis for better data collection.

New methods improve understanding of treatment effects across sites.

UQSA helps researchers quantify uncertainty in biological models and analyze sensitivity.

A tool for studying evolutionary traits across species using advanced modeling techniques.

A new approach for estimating average partial effects in data analysis using machine learning techniques.

A novel method for analyzing causal relationships using partially homoscedastic linear SEMs.

A method to assess data fit using Monte Carlo simulations.

Improving group testing methods for better health outcomes during crises.

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

This article discusses using language models to improve optimization tasks.

New models generate realistic data across various fields and applications.

This article examines methods for parameter estimation in new copula families for improved modeling.

Introducing a flexible model for analyzing complex spherical time series data.

A look into the importance of network analysis across various fields.

A novel method using information theory to identify communities in hypergraphs.

Research reveals limits of MCMC methods in connecting bipartite graphs effectively.

Explore different methods in causal modeling and their significance for research.

A comprehensive study on rainfall impacts in Southern India's Western Ghats over a century.

A study on learning Gaussian mixtures while protecting individual data privacy.

This research focuses on incorporating uncertainty into predictions using Bayesian inference.

Analyzing climate's role in spruce budworm outbreaks using advanced statistical modeling.

A new method enhances efficiency in complex data analysis using weighted Riesz particles.

GAM-DVQR improves weather predictions by capturing intricate relationships between variables.

Exploring how Rydberg atoms parallel infection spread in complex systems.

A new approach to predict mortality and enhance disaster response.

Learn how to estimate parameters for heavy-tailed data using piece-wise Pareto distributions.

Exploring techniques to generate realistic data using autoencoders and copula models.

Learn about ROMC and its application in likelihood-free inference.

A look at spatio-temporal models in data analysis.

Regionally Additive Models simplify data analysis by clarifying complex interactions.

An analysis of model checking strategies in statistics.

Learn how to measure K-function estimates with unknown intensity functions.

MPHD improves Bayesian Optimization by using knowledge from different domains for better results.

New developments improve analysis of Gibbs processes and their applications across fields.

A new method for measuring advertising reach effectively.