Index: Wiecki 2013 - HDDM Hierarchical Drift-Diffusion Model

Wiecki 2013 - HDDM Hierarchical Drift-Diffusion Model

Routing Summary

This folder captures Wiecki, Sofer and Frank (2013), HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in Python (Front. Neuroinform. 7:14). 4 notes.

• Need the paper on one page or section-to-note map? → Wiecki 2013 - HDDM Hierarchical Drift-Diffusion Model - Overview
• Need the DDM definition, Wiener first-passage density, speed-accuracy closed forms or the SPRT optimality background? → Wiecki 2013 - Drift-Diffusion Model and Wiener First-Passage Likelihood
• Need priors, workflow, depends_on, regression, DIC and posterior tests? → Wiecki 2013 - Hierarchical Bayesian Estimation Regression and Model Checking in HDDM
• Need the three simulation experiments and results? → Wiecki 2013 - Parameter Recovery Simulations and Detection Power

Concept Map

Concept	Note	Type	Depends On	Key Result
Drift-diffusion model	Wiecki 2013 - Drift-Diffusion Model and Wiener First-Passage Likelihood	definition	-	$v,a,z,t$ parameterize choice+RT
Wiener first-passage density	Wiecki 2013 - Drift-Diffusion Model and Wiener First-Passage Likelihood	theorem	DDM	series; Navarro-Fuss switch
Hierarchical DDM priors	Wiecki 2013 - Hierarchical Bayesian Estimation Regression and Model Checking in HDDM	definition	DDM	group-level shrinkage; $s_v,s_t,s_z$ group-only
HDDMRegressor	Wiecki 2013 - Hierarchical Bayesian Estimation Regression and Model Checking in HDDM	definition	hierarchical DDM	theta-on-threshold reversal with DBS
Simulation design and findings	Wiecki 2013 - Parameter Recovery Simulations and Detection Power	example	hierarchical DDM	HB beats ML, quantiles, nHB; up to +20 pts power

Notes

• Wiecki 2013 - HDDM Hierarchical Drift-Diffusion Model - Overview — CONTAINS: research question, contributions, Source Map, motivating PyMC example E71.
• Wiecki 2013 - Drift-Diffusion Model and Wiener First-Passage Likelihood — CONTAINS: DDM definition, Wiener density with proof sketch, full DDM, speed-accuracy closed forms, SPRT background, numerical check, PyMC sketch.
• Wiecki 2013 - Hierarchical Bayesian Estimation Regression and Model Checking in HDDM — CONTAINS: full prior list, workflow, convergence, DIC, regression, PyMC sketch.
• Wiecki 2013 - Parameter Recovery Simulations and Detection Power — CONTAINS: Experiments 1-3 design, detection rules, results, planning example, limitations.

Sources

• Wiecki 2013 - HDDM Hierarchical Bayesian Drift-Diffusion Model in Python - Wiecki TV, Sofer I, Frank MJ (2013), Front. Neuroinform. 7:14, 10 pages.

See Also

• Hierarchical Models, Model Comparison, MCMC Basics, Survival Analysis
• Simoiu 2017 - a latent-threshold model in a different field