Alternatives and similar repositories for LFO-CV-paper

Users that are interested in LFO-CV-paper are comparing it to the libraries listed below

• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆43Updated 6 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated last month
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 2 months ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆51Updated last year
• adamlauretig / bwe
  Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"
  ☆19Updated 6 years ago
• theodds / SoftBART
  ☆31Updated 2 months ago
• helske / bssm
  Bayesian Inference of State Space Models
  ☆45Updated 10 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 9 months ago
• constantino-garcia / nonlinearTseries
  Nonlinear time series analysis in R
  ☆36Updated 9 months ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 4 months ago
• ineswilms / bigtime
  Sparse estimation of large time series models
  ☆31Updated last year
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆30Updated 2 years ago
• jhelvy / stanTuneR
  This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail beh…
  ☆29Updated 5 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated 10 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 5 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• anastasiachtz / COMMAND_stan
  Contemporary statistical inference for infectious disease models using Stan
  ☆17Updated 6 years ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 years ago
• dsrobertson / onlineFDR
  Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for …
  ☆14Updated 2 years ago
• rsnirwan / HouseholderBPCA
  Rotation Invariant Householder Parameterization for Bayesian PCA
  ☆17Updated 2 years ago