Alternatives and similar repositories for StatisticalInference

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

• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆137Updated 7 months ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆75Updated last year
• kpjmcg / Statistical-Rethinking-2023-Python-Notes
  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…
  ☆73Updated 2 years ago
• ostojanovic / causalML
  ☆33Updated last year
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated last month
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated last year
• chelseaparlett / CPSC393ParlettPelleriti
  ☆108Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆107Updated 2 months ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆44Updated 2 weeks ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 10 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆154Updated 3 weeks ago
• ctanujit / FEWNet
  ☆16Updated 8 months ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 3 years ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆60Updated this week
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆74Updated 2 weeks ago
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆140Updated 9 months ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆25Updated last year
• mguindani / Lectures
  This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. I…
  ☆33Updated 8 months ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆156Updated 2 weeks ago
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆169Updated 2 years ago
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆26Updated 3 years ago
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆52Updated 5 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 5 months ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆248Updated 3 years ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated last month
• ctanujit / MATH350
  Statistical Inference Course
  ☆43Updated 10 months ago
• frankiethull / Practical-Guide-to-Applied-Conformal-Prediction-in-R
  Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…
  ☆43Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago