bayesloop

Model selection tool

A framework for fitting time series models with changing parameters and selecting the best model using Bayesian inference

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

GitHub

156 stars
13 watching
27 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list

anomaly-detectionbayesian-inferencemodel-selectionprobabilistic-programmingtime-series-analysis

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