Alternatives and similar repositories for hierarchical-stacking-code

Users that are interested in hierarchical-stacking-code are comparing it to the libraries listed below

• AlexAndorra / pydata-berlin-statespace-models
  A Beginner's Guide to State Space Modeling
  ☆15Updated this week
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• vincentarelbundock / pymarginaleffects
  ☆76Updated 2 weeks ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• avehtari / ActiveStatistics
  Active Statistics book web page
  ☆11Updated 8 months ago
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆18Updated 4 years ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 4 months ago
• avehtari / casestudies
  ☆30Updated 11 months ago
• danigiro / FoReco
  Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…
  ☆37Updated 3 months ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated last year
• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆17Updated this week
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated last month
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆36Updated 10 months ago
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• ineswilms / bigtime
  Sparse estimation of large time series models
  ☆31Updated 2 years ago
• helske / KFAS
  KFAS: R Package for Exponential Family State Space Models
  ☆68Updated 3 months ago
• epiforecasts / scoringutils
  Utilities for Scoring and Assessing Predictions
  ☆56Updated this week
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 3 months ago
• MaggieLieu / STAN_tutorials
  ☆30Updated 5 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆82Updated last month
• henckr / distRforest
  R implementation for random forests with distribution-based loss functions
  ☆25Updated 5 years ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆61Updated 3 months ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆52Updated last month
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated this week
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆37Updated last year