Name: Bob Carpenter
Type: User
Company: Flatiron Institute
Bio: I work in computational and applied statistics, largely on the Stan probabilistic programming language, autodiff library, and Bayesian inference algorithms.
Location: New York
Blog: https://bob-carpenter.github.io
Bob Carpenter's Projects
Automatic Differentiation Handbook
exploratory work on successor to stan::agrad
Models, scripts, and data sets for data annotation (aka coding, aka rating)
Bayesian models for gene expression
SRD for the Blades in the Dark RPG
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Bob's Web Pages
A book of Carol Carpenter's poetry
Case studies in applied and computational statistics.
Creative Commons Licenses for Github
Models for coherent diffraction imaging (CDI)
Home for the computational inference reading group.
Repository for cryoBIFE - cryo-EM
statistical models to analyze diagnostic tests
Floating-point/RAM benchmark in C vs C++ vs Fortran, including complex arithmetic
A Java implementation of arithmetic coding and PPM compression.
A simple Java depth-first solver for Sudoku puzzles, with algorithm explanation and examples.
k-mer based genomics
Database with posteriors of interest for Bayesian inference
Probability and Statistics: a simulation-based introduction. An open-access book.
Python package for Dawid and Skene (1979) maximum likelihood estimator for categorical data coding models.
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
A quarto notebook introducing Stan in Python (and maybe R).
lightweight server interface to Stan model methods