Pinned Repositories
anticoagulant-study-cohorts
Cohort definitions for the blood anti-coagulant study in Nishimura and Suchard (2022)
bayes-advanced-intro
Course materials for "Advanced introduction to Bayesian statistics"
discontinuous-hmc
"Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
hmc-lecture
Lecture slides on Hamiltonian Monte Carlo
horseshoe-scale-sampler
Efficient rejection sampler for updating the local scale parameter in Gibbs sampling horseshoe posteriors.
mcmc-diagnostics
Implements methods for assessing convergence and quantifying effective sample sizes of a Markov chain. Similar to R packcage CODA.
NUTS-matlab
performant-statistical-computing
Course webpage for Performant Statistical Computing and Algoware Development (https://aki-nishimura.github.io/performant-statistical-computing)
probabilistic-matrix-factorization
spy-blas
Sparse Python (MKL) BLAS: Cython interface to space matrix operations by Intel MKL Sparse BLAS.
aki-nishimura's Repositories
aki-nishimura/discontinuous-hmc
"Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
aki-nishimura/NUTS-matlab
aki-nishimura/hmc-lecture
Lecture slides on Hamiltonian Monte Carlo
aki-nishimura/probabilistic-matrix-factorization
aki-nishimura/bayes-advanced-intro
Course materials for "Advanced introduction to Bayesian statistics"
aki-nishimura/mcmc-diagnostics
Implements methods for assessing convergence and quantifying effective sample sizes of a Markov chain. Similar to R packcage CODA.
aki-nishimura/horseshoe-scale-sampler
Efficient rejection sampler for updating the local scale parameter in Gibbs sampling horseshoe posteriors.
aki-nishimura/performant-statistical-computing
Course webpage for Performant Statistical Computing and Algoware Development (https://aki-nishimura.github.io/performant-statistical-computing)
aki-nishimura/anticoagulant-study-cohorts
Cohort definitions for the blood anti-coagulant study in Nishimura and Suchard (2022)
aki-nishimura/spy-blas
Sparse Python (MKL) BLAS: Cython interface to space matrix operations by Intel MKL Sparse BLAS.
aki-nishimura/stats-comp-algo-software
Course repo for Biostat 140.778: Statistical Computing, Algorithm, and Software Development
aki-nishimura/adv-r
Advanced R: a book
aki-nishimura/aki-nishimura.github.io
Personal website
aki-nishimura/beast-mcmc
Bayesian Evolutionary Analysis Sampling Trees
aki-nishimura/code-for-hamiltonian-zigzag-2024
aki-nishimura/CohortMethod
An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
aki-nishimura/cython_random
Cython library for random number generation
aki-nishimura/hiperglm
For demonstrating effective development of high-performance stats software (JHSPH Biostatistics 140.778)
aki-nishimura/hiperglm-2024
aki-nishimura/j-ISBA.github.io
j-ISBA website
aki-nishimura/LegendT2dm
aki-nishimura/minimal-mistakes
:triangular_ruler: A flexible two-column Jekyll theme perfect for building personal sites, blogs, and portfolios.
aki-nishimura/passport-size-photo-embedder
A bash script to embed a passport sized image file into a 4 x 6 inches canvas for printing.
aki-nishimura/PatientLevelPrediction
An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.
aki-nishimura/prostate-active-surveillance
aki-nishimura/pynuts
Python module for Hamiltonian Monte Carlo and No-U-Turn-sampler
aki-nishimura/rappdirs
A port of AppDirs for R
aki-nishimura/scipy
Scipy library main repository
aki-nishimura/ShinyDeploy
Shiny apps in this repository will be automatically deployed to the OHDSI Shiny server.