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Implementation of B-Splines in Stan
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State space models (dynamic linear models, hidden Markov models) implemented in Stan.
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Conditional autoregressive models in Stan
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MTH225 Statistics for Science Spring 2016
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Slides and assignments for an introductory course in hierarchical Bayesian modeling
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Time series models in Stan for UW SAFS time series class
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🚫 ↩️ Raw files for a document that introduces Bayesian data analysis. -
Materials for BioC-2016 workshop entitled "Introduction to Bayesian Inference using Stan with Applications to Cancer Genomics"
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Learning rstan: R Interface to Stan
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Various models of heterogeneous treatment effects
Stan 4 -
A workshop on using Stan with R.
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Reanalysis of Carney, Cuddy, and Yap 2010 data on power posing.
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Practice Stan with simple POPPK models and virtual data
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An analysis of Vision Zero Policies
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practicing with stan
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Bayesian hierarchical model for estimating the misalignment between magnetic fields and chromospheric fibrils
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First attempt to fit change point models in Stan
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DynBayes
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Short exploration of the rise (and fall) of hype-laden buzzwords announcing the impending domination of the world by sentient computers
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MMMGRUBS: Molecular Motion Movies and Geometry Reconstruction Using Bayesian Statistics
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Stan models and associated R code
