joferkington / oost_paper_code
Scripts and software for out-of-sequence shortening calculations
☆26Updated 11 years ago
Alternatives and similar repositories for oost_paper_code:
Users that are interested in oost_paper_code are comparing it to the libraries listed below
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆51Updated 4 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Gaussian mixture model for incomplete (missing or truncated) and noisy data☆101Updated 2 years ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Port of SPGL1 to python☆46Updated 9 months ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆184Updated last week
- weighted quantiles with Python☆53Updated 3 years ago
- Python/numpy bootstrap confidence interval estimation.☆176Updated last year
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- Frequency and time-frequency analysis for irregularly sampled time series☆23Updated 6 years ago
- python-based shapelet decomposition package☆26Updated 8 years ago
- ☆75Updated last year
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- feATURE eXTRACTOR FOR tIME sERIES☆53Updated last week
- MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.☆40Updated 6 months ago
- Probabilistic Random Forest: A machine learning algorithm for noisy datasets☆128Updated last year
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- ABCpy package☆114Updated 11 months ago
- ☆65Updated 9 months ago
- A non-traditional TensorFlow tutorial☆49Updated 4 years ago
- Python MCMC Sampler☆33Updated 2 months ago
- Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.☆16Updated 7 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Fast and flexible Gaussian Process regression in Python☆457Updated last week
- Kernel density estimation on a sphere☆29Updated 3 years ago
- Source for our paper on multiband periodograms.☆32Updated 5 years ago
- A tutorial on Hierarchical Bayesian Modelling☆19Updated 5 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago