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Frequently Asked Questions
Questions
Is find_MAP still encouraged in practice? i notice a lot of code samples stopped
using find_MAP (asked by @kpei) find_MAP is pretty much discouraged now in most
situations. The MAP is not a representative point in high… read more 12 22.8k
Jun 2023

Welcome to PyMC Discourse

Welcome to PyMC Discourse, a place to discuss Bayesian Computation using PyMC,
and probabilistic modelling in general. PyMC is a Python package for Bayesian
Statistical Modeling and Probabilistic Machine Learning which … read more 0 4.5k
Jan 2022 Problem with log link in fractional polynomial model

7 57 2h Need help with basic mode - starting point

6 82 11h Debug mode in PyTensor
v5
6 51 1d What is the correct format/shape of the initial values for Sequential
Monte Carlo (SMC)?
v5
modeling
7 94 2d

Issues with multivariate GMM model and label switching
v5
2 58 2d Vectorisation of BART for multidimension hierarchical data
v5
modelinghierarchicalbartmodel-checking
1 38 2d Sampler initiation stuck
v5
modeling
2 49 3d

Help formulating a complex matrix multiplication in pymc
v5
modeling
4 68 3d What is the point of assigning a random variable to a named python
variable?
v5
1 37 3d Tanh saturation severely increasing sampling runtime
v5
0 33 4d New Webinar: Customer Lifetime Value Modeling in Marine Industry (8th
May, 14:00 UTC)

0 31 4d Golf putting example (isn’t it arctan?)

4 104 4d Multivariate truncated emissions and posterior inspection of POMDP
v5
1 36 4d Complex ordering mixture models

7 112 4d More Monty Hall
Sharing
4 64 4d Questions for var_names in sample_posterior_predictive
Questions
7 547 4d Expected Results with 90% Divergences - Hierarchical Bayesian Issue
v5
2 63 4d Hierarchical models with different number of observations
v5
development
1 47 4d NaN is included in the result of executing the scan function in the pymc
model

3 65 4d ADVI fit with forbidden prior parameter values runs without any error!
version agnostic
bugvariational_inferenc
1 41 5d CLV modeling with extra regressors
pymc-marketing
5 61 5d Inserting random variable into a matrix

2 35 5d Bayesian Quant for US-based hedge fund
Jobs
0 53 5d Multivariate Laplace Prior

8 95 5d Mixture models and different observed data counts

4 63 7d Stated Choice Based Conjoint

1 46 7d SMC; Random walk; Adding z dimension results in bias in x dimension
v5
bugsamplingsmc
0 39 7d Multinomial logistic regression on conjoint choice data
v5
modelingaesarapytensorscan_ops
6 955 7d







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