junpenglao
/ pymc3_sampling_difficulty.ipynb
Last active
February 16, 2016 15:20
I am trying to adapt a pymc2 code to pymc3. However, there is a problem in the pymc3 model, one of the stochastic variable is not being sampled properly. In the new branch of pymc3 this problem is resolved.
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junpenglao
/ Arcsine_Laws_numerical.ipynb
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August 17, 2016 13:16
This is a numerical demonstration of the three arcsine laws for random walks.
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junpenglao
/ MvNormal_pymc3.ipynb
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March 29, 2021 00:49
Multivariant Gaussian distribution estimation in PyMC3 using different prior
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junpenglao
/ Mixture_model_estimation_as_hypothesis_testing.ipynb
Last active
March 20, 2017 09:49
Testing hypotheses via a mixture estimation model in PyMC3
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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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junpenglao
/ PyMC3_tips_and_heuristic.ipynb
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January 11, 2021 05:43
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junpenglao
/ Jacobian Adjustment in PyMC3.ipynb
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April 25, 2017 05:34
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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
/ 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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