jessegrabowski / statespace-presentation

Related projects ⓘ

Alternatives and complementary repositories for statespace-presentation

• xRiskLab / xBooster
  Explainable Boosted Scoring
  ☆11Updated last month
• pymc-devs / pymc-bart
  ☆87Updated this week
• OVVO-Financial / NNS-Python
  Nonlinear Nonparametric Statistics
  ☆14Updated 2 years ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆11Updated last year
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆21Updated 2 years ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆36Updated 2 weeks ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆17Updated 5 months ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆67Updated last week
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆32Updated last week
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆50Updated 3 years ago
• ZitongYang / bellman-conformal-inference
  Python implementation for Bellman Conformal Inference algorithm for time series forecasting.
  ☆17Updated 9 months ago
• lixixibj / DeepVARwT-data-code
  ☆19Updated last month
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 5 months ago
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 2 years ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆22Updated last year
• microprediction / microactors-causality
  Examples of causality maps for time series driven by GitHub actions
  ☆15Updated last year
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆29Updated last week
• fonnesbeck / hierarchical_models_sports_analytics
  Developing Hierarchical Models for Sports Analytics
  ☆18Updated 4 months ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated 3 weeks ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆48Updated this week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆27Updated 9 months ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆27Updated 4 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated this week
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆14Updated 5 months ago
• PrincetonLIPS / mf-bocd
  Active multi-fidelity Bayesian online changepoint detection.
  ☆17Updated 3 years ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆69Updated 3 weeks ago