Alternatives and similar repositories for pystan_time_series

Users that are interested in pystan_time_series are comparing it to the libraries listed below

• sinhrks / stan-statespace
  Stan models for state space time series
  ☆146Updated 8 years ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• JingyuHe / XBART
  ☆93Updated last year
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆43Updated 4 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• luisdamiano / gsoc17-hhmm
  Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 201…
  ☆123Updated 7 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆97Updated last year
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 7 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆43Updated 7 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆74Updated last year
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 6 months ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆61Updated 7 months ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 5 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆131Updated 5 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆75Updated last week
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆183Updated 7 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 9 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆79Updated last year