Latest Articles for Statistical Modeling

A new model improves uncertainty quantification in nuclear thermal-hydraulic systems.

An analysis of NVAR models and their impact on understanding variable relationships.

A new estimator improves efficiency in nonparametric regression models.

A new method enhances tracking accuracy for moving objects in three dimensions.

This paper examines error bounds in hierarchical Bayesian models for high-dimensional parameters.

Staged trees simplify the analysis of longitudinal data for better insights.

A new model improves how we analyze multi-view data effectively.

A fresh method for handling skewed data in various fields.

A study on methods to analyze patient pathways using competing risks models.

Discover a structured approach to sampling in statistical models with Chebyshev particles.

Introducing the SPAR model for better understanding of rare joint extreme events.

Methods to tackle challenges in statistical analyses with dependent data.

A new prior offers enhanced flexibility for high-dimensional linear regression models.

A new approach to improve optimization in complex scenarios using simulations.

A new model aims to improve forecasting across diverse data types.

Exploring the realized stochastic volatility model for better financial predictions.

A framework to evaluate reasoning in language models through statistical methods.

ParFit simplifies parameter fitting in random graph models for effective network analysis.

A new method improves regression analysis in functional data using k-NN.

A look at MCMC algorithms for estimating stochastic volatility models in finance.

New models offer insights into challenging longitudinal data analysis.

Learn how to model event occurrence using the nhppp package in R.

A new method improves multi-dimensional modeling without high computational costs.

A new method enhances Bayesian network learning by improving data categorization.

Explore how graphical models reveal relationships in extreme events across various fields.

A study of plasma filaments in fusion devices and their effects on energy transport.

Examining data analysis pipelines and methods to manage uncertainty in political research.

A new Bayesian approach for analyzing data with many zeros in public health.

A clear breakdown of DDPMs and their practical applications in data generation.

A new method for analyzing multiple datasets improves accuracy and insights.

Examining how marked Hawkes processes shed light on event interactions over time.

This study enhances decision-making in limited exploration scenarios using prior information.

ProFITi model predicts outcomes from irregularly sampled time series.

A look at the linear model of coregionalization for analyzing spatial data.

An introduction to functional regression models and their applications in various fields.

New method enhances forecast accuracy by managing errors across time steps.

New techniques improve predictions of economic trends using diverse data.

A new model improves understanding of species relationships in biodiversity studies.

Introducing a model that enhances count data analysis with extra factors.

This research analyzes user engagement factors on crowdfunding platforms to enhance contributions.