Alternatives and similar repositories for multichain_mcmc

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

• mjmt05 / rjmcmc
  C++ code for a reversible jump Markov chain Monte Carlo algorithm to sample changepoints
  ☆16Updated 6 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆52Updated 7 years ago
• UCIDataScienceInitiative / SpaceTime
  ☆9Updated 8 years ago
• jakobrunge / tigramite_old
  Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…
  ☆33Updated 8 years ago
• guillaumelenoir / WAVEPAL
  Frequency and time-frequency analysis for irregularly sampled time series
  ☆23Updated 6 years ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆14Updated 6 years ago
• rtavenar / dtw_resample
  Resample data based on DTW alignment
  ☆10Updated 8 years ago
• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 8 years ago
• brandonckelly / CUDAHM
  Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.
  ☆16Updated 8 years ago
• aerler / GeoPy
  The backbone of my geo-spatial analysis code.
  ☆10Updated last year
• safl / ndarray_plot
  Script for plotting / visualizing three dimensional arrays.
  ☆25Updated 10 years ago
• 0xshipthecode / ndw-climate
  ☆15Updated 11 years ago
• pckujawa / harmonic_analysis_of_time_series
  Harmonic analysis of time series in python
  ☆18Updated 10 years ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆25Updated 5 years ago
• aaren / sparse_dmd
  sparse dynamic mode decomposition in python
  ☆37Updated 9 years ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 5 years ago
• NICTA / obsidian
  Probabilistic multi-sensor geophysical inversions on clusters
  ☆10Updated 7 years ago
• dbuscombe-usgs / pysesa
  python module for spatially explicit spectral analysis
  ☆11Updated 5 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• UCIDataScienceInitiative / AdvPredictiveModeling_withPython
  Jupyter Notebooks for Adv. Predictive Modeling Course
  ☆15Updated 8 years ago
• helske / Rlibeemd
  Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
  ☆38Updated 3 months ago
• Ushnish-Sengupta / Model-Ensembler
  Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"
  ☆11Updated 3 years ago
• ilarinieminen / SOM-Toolbox
  ☆122Updated 6 years ago
• NICTA / stateline
  Distributed Markov Chain Monte Carlo
  ☆30Updated 7 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• nicolasfauchereau / climate_data_analytics
  Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)
  ☆13Updated 3 years ago
• mjlaine / dlm
  Matlab toolbox for dynamic linear models
  ☆13Updated 4 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• titusjan / hill_shading
  Hill Shading implementation for Matplotlib
  ☆11Updated 10 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago