Latest Articles for Statistical Modeling

Explore various models used for data classification and uncertainty estimation.

New methods improve efficiency and accuracy in complex simulations with uncertainty.

A fresh approach to estimate treatment effects using many covariates and instruments.

A novel approach to regression using Deep Horseshoe Gaussian Processes for improved variable selection.

Explore how Rayleigh-Levy flights help understand the universe's formation and behavior.

A look into spatial data modeling and its applications in ecology.

Learn about conditional optimal transport and its applications in data transformation.

New parametric model addresses cure fractions and dependent censoring in survival analysis.

A novel approach to understanding inflation through disaggregated data.

A novel approach to parameter estimation in volatility modeling using composite likelihood.

Exploring how neural networks can approximate functionals in data analysis.

A clear look at how function trees help in data analysis.

A look at how galaxies cluster using advanced statistical models.

This paper discusses improving predictions of policy effects by addressing error predictability.

This article discusses techniques for accurately estimating rare event probabilities.

New techniques improve parameter estimation in complex data scenarios.

An analysis of random walks and their behavior in probability theory.

Researchers use statistical models to study gamma-ray bursts and their complex behaviors.

A new approach enhances functional regression techniques for complex data analysis.

A new method to study past climate using marine microfossils.

A new method to improve efficiency in data generation using diffusion models.

Learn how the slgf package improves linear modeling accuracy by identifying hidden group effects.

Context Neural Networks improve forecasting accuracy by using related time series insights.

This study presents an efficient method for balancing updates in GAMLSS using adaptive step lengths.

A flexible model improves understanding of node interactions in bipartite networks.

This study presents a method to better estimate point density in spatial data.

Learn how simpler functions can help analyze complex data effectively.

A look into threshold methods for addressing ordinal regression challenges.

A method to recover both magnitude and phase of complex signals while quantifying uncertainty.

This article presents a method for identifying causal relationships in complex systems.

A new method to evaluate covariance functions efficiently in Gaussian processes.

This article discusses the SARMA model for analyzing complex time series data.

Learn key methods for selecting tuning parameters in data analysis for better predictions.

Leveraging external data for improved feature selection in genomic studies.

A fresh statistical approach helps classify active and quiet states of stars.

New methods enhance the simulation of Brownian motion and stochastic differential equations.

New algorithms enhance feature selection speed and accuracy in statistical models.

This paper discusses new insights in causal regression for better decision-making.

Learn how Collaborative Trees can clarify variable interactions in data analysis.

Study evaluates fairness of COVID-19 case predictions across racial groups.