Welcome to PyMC Discourse
[
General
]
(1)
Getting the current sample variable value so it can be used to compute the observed inputs in a secondary model likelihood
[
Questions
]
(6)
Reparametizing Gelman's rat tumour example
[
Questions
]
(4)
Understanding the Predictive Covariance of Gaussian Processes
[
Questions
]
(2)
Probability that a given constraint is observed
[
Questions
]
(5)
Model definition inside of a function - pymc3.gp.Marginal not recognized
[
Questions
]
(2)
Pymc3.model likelihood evaluation for given prior sample
[
Questions
]
(3)
Multinomial returns nan
[
Development
]
(11)
Adding constraint to the parameter
[
Questions
]
(18)
Minibatch and NUTS
[
Questions
]
(12)
Markov decision processes with PyMC3
[
Questions
]
(4)
pymc3.distributions.transforms.Ordered not found
[
Questions
]
(4)
Using ADVI refine
[
Questions
]
(6)
Hierarchical Regression Model with Multiple Predictors
[
Questions
]
(2)
Truncated normal distribution with optimal truncation thresholds via DensityDist
[
Questions
]
(9)
Memory Leak on AWS EC2
[
Questions
]
(1)
Bounding Output and Potential Values
[
Questions
]
(5)
Dealing with imputation of left censored multivariate normal distribution
[
Questions
]
(8)
PhD in probabilistic programming and protein structure prediction, Copenhagen
[
News
]
(1)
Conditional multivariate sampling
[
Questions
]
(6)
Dealing with Unbalanced Data with Minibatches
[
Questions
]
(14)
'TransformedDistribution' object has no attribute 'random' during pm.sample_ppc
[
Development
]
(4)
Sunsetting Python 2 support in 2019
[
News
]
(1)
GP.Marginal_likelihood without noise
[
Questions
]
(3)
Estimate Ornstein-Uhlenbeck Parameters with Euler Maruyama
[
Questions
]
(6)
Array index generated by Categorical Distribution
[
Questions
]
(3)
Multiprocess sampling without using Pickle
[
Questions
]
(3)
Save and reuse model with shared variables
[
Questions
]
(3)
Trouble with Initilization and Posterior Sampling
[
Questions
]
(14)
Metropolis sampler do not sample (traceplot gives flat plots)
[
Questions
]
(12)
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