joelmiller / DynamicProcessesOnNetworks

Related projects: ⓘ

• LarremoreLab / covid_serological_sampling
  ☆14Updated 3 years ago
• bambinos / educational-resources
  Educational resources
  ☆98Updated 2 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆91Updated 5 years ago
• avehtari / casestudies
  ☆25Updated 5 months ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆90Updated 2 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆15Updated 4 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆83Updated 8 years ago
• elanmart / rust-pgbart
  ☆19Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆74Updated last week
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆95Updated 6 months ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆55Updated last week
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆39Updated 3 weeks ago
• MaggieLieu / STAN_tutorials
  ☆29Updated 4 years ago
• eggplantbren / STATS331
  Lecture notes for an introductory undergraduate course in Bayesian Inference
  ☆51Updated 4 years ago
• ytoren / presentation-bsts
  Presentations about Bayesian structural times series + code
  ☆11Updated 3 years ago
• springcoil / probabilisticprogrammingprimer
  ☆91Updated 3 years ago
• Edderic / statistical-rethinking-python-solutions
  Personal solutions to end-of-chapter questions
  ☆13Updated 5 years ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 5 years ago
• epidemics / COVIDNPIs
  Data and code for COVID-19 NPI effectiveness estimation.
  ☆30Updated 3 years ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆30Updated 2 months ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆162Updated 2 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆74Updated 6 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆87Updated 3 weeks ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• stappit / bayesian-data-analysis
  Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.
  ☆19Updated 4 years ago
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆28Updated 5 years ago
• arviz-devs / preliz
  A tool-box for prior elicitation.
  ☆78Updated last week
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆30Updated 4 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆41Updated 9 months ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆180Updated last month