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junpenglao
/ OOS_Predict_with_Missing.ipynb
Last active
May 9, 2018 22:58
OOS Prediction for regression model with missing data
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junpenglao
/ Bayesian_Mixture_PyMC3.ipynb
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July 16, 2022 20:57
Identifying Bayesian Mixture Models in PyMC3 (port of Stan case study http://mc-stan.org/users/documentation/case-studies/identifying_mixture_models.html)
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junpenglao
/ Check_rLKJCorr.py
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August 3, 2017 06:22
Random Correlation matrix using the algorithm in LKJ 2009 (vine method based on a C-vine)
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| """ | |
| Random Correlation matrix (LKJ 2009) output checking | |
| Created on Wed Aug 2 09:09:02 2017 | |
| @author: junpenglao | |
| """ | |
| import numpy as np | |
| from scipy import stats |
junpenglao
/ cover-type_edited_JLao.ipynb
Created
July 19, 2017 13:13
Origin notebook see https://github.com/ericmjl/bayesian-analysis-recipes
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junpenglao
/ [WIP] Bayesian GMM.ipynb
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October 18, 2019 11:11
Documents/Github/Human_Learning/Miscellaneous/[WIP] Bayesian GMM.ipynb
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junpenglao
/ Jacobian Adjustment in PyMC3.ipynb
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April 25, 2017 05:34
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junpenglao
/ PyMC3_tips_and_heuristic.ipynb
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January 11, 2021 05:43
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junpenglao
/ GP_non-Gaussian-likelihood.ipynb
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March 27, 2023 10:59
Gaussian Process with PyMC3 and GPflow with non-Gaussian likelihood
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