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GitHub / pakheili / bayesian-structured-time-series-mcmc-parallel-tempering

Bayesian Structured Time Series Analysis with Parallel Tempering for Stock Market Prediction

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pakheili%2Fbayesian-structured-time-series-mcmc-parallel-tempering

Stars: 2
Forks: 0
Open Issues: 0

License: mit
Language: Python
Repo Size: 4.46 MB
Dependencies: 0

Created: over 1 year ago
Updated: 7 months ago
Last pushed: over 1 year ago
Last synced: 7 months ago

Topics: bayesian-neural-networks, langevin-gradients, markov-chain-monte-carlo, parallel-computing, stock-market, time-series-analysis

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