Three-Step State Space Mixture Modeling

This repository contains files related to the simulation studies and empirical illustration in the publication "Three-Step State Space Mixture Modeling to Compare Dynamic Processes Across Many Individuals" (https://osf.io/preprints/psyarxiv/dxmrv_v1).

Bayesian Methods and Mixture Models Psychometric Methodologies and Testing Opinion Dynamics and Social Influence

Paper

The full text of this publication is not hosted on 44B due to licensing.

Read it at OpenAlex

Similar papers

Multi-Group Three-Step Latent Vector AutoregressionLeonie V. D. E. Vogelsmeier, Jeroen Vermunt, Manuel T. Rein et al.2025 · OSF Preprints (OSF Preprints) In Library

Dirichlet process multi-state mixture modelsRosario Barone, Andrea Tancredi2026 · Computational Statistics & Data Analysis In Library

StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External VariablesSacha Morin, Robin Legault, Laliberté, Félix et al.2023 · arXiv (Cornell University) In Library

Estimation of State-Space Models with Gaussian Mixture Process NoiseSina Miran, J. Simon, M. Fu et al.2019 · Data Science Workshop · 2 citations In Library

<b>StepMix</b>: A <i>Python</i> Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External VariablesSacha Morin, Robin Legault, Félix Laliberté et al.2025 · Journal of Statistical Software In Library

Mixed effects state-space models with Student-<i>t</i> errorsLina L. Hernandez‐Velasco, Carlos A. Abanto‐Valle, Dipak K. Dey2020 · Journal of Statistical Computation and Simulation In Library

Non parametric mixture modelingJoaquina Couto, Kim Archambeau, Leendert van Maanen2022 · OSF Preprints (OSF Preprints) In Library

Expectation Development in Analytical Procedures: A Bayesian State Space Approachruud wetzels, Henrik R. Godmann, jacques de swart et al.2026 · OSF Preprints (OSF Preprints) In Library

Expectation Development in Analytical Procedures: A Bayesian State Space ApproachLotte Mensink, Henrik R. Godmann, jacques de swart et al.2026 · Open MIND In Library

Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciencesS. Menary, D. Price2021 · Machine Learning: Science and Technology · 0 citations In Library

Source of record

OpenAlex

44B

Welcome.

This panel sticks with you. Pick anything below and it opens right beside it, so you can dig through 60,000-plus records without ever losing your spot here.

Travel 44B

LibraryPapers, policy, standards, statute LabsEvery organization building AI ModelsIntelligence, price, and speed BenchmarksThe evaluation catalog IncidentsAI failures and harms SearchOne field across everything DashboardThe state of AI accountability in NY 44B RegistryThe Art. 44-B compliance portal