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Hi, I hope to use a time series data to fit a dynamic bayesian network. But after looking up the docs, I didn't find dynamic bayesian network class.
I'm wondering is there any easy method to extent t…
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How can I implement and using LSTM layers for time-series prediction with Tensorflow Probability? There is no any layer for RNN Deep learning in TFP layers in [tfp.layers](https://www.tensorflow.org/p…
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**Is your feature request related to a problem? Please describe.**
I and @koralturkk would like to add a wrapper for forecasting with [BSTS](https://www.tensorflow.org/probability/api_docs/python/tfp…
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I want to implement BSTS model in python therefore I am looking for the library. For that I read somewhere that ''[bsts](http://www.unofficialgoogledatascience.com/2017/07/fitting-bayesian-structural-…
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**Reviewers:**
Submitting Author: Jouni Helske (@helske)
Other Package Authors: (delete if none) Name (@mvihola)
Repository: https://github.com/helske/bssm
Version submitted: 2.0.0
Submission ty…
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Has there been any user experience testing for people new to `epinowcast` and perhaps to nowcasting and epidemiological modelling in general?
As I'm just looking at the `README` I'm met with the fi…
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## Problem Description
In **bayesian.py**, **_plot_bayes_cone** has variable **perc** which results in the error given down the post. So it is apparently of the wrong shape (wrong values - training…
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hi all,
I've been trying to create a back testing framework for a time series analysis that involves tuning a random forest with Bayesian optimization monthly for the last 10 years. each month is i…
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Hi There,
Bayesian time series models typically return a 2d array of the forecast for every draw and every timestamp that is predicted.
In the original documentation in the "7. Adjusting the mode…
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Hi all,
Firstly, thanks for providing this library for experimental purposes! I am familiar with DL/ML models but recently introduced to time series forecasting.
I have used various techniques …