https://www.pymc-marketing.io/en/latest/api/generated/pymc_marketing.customer_choice.maxdiff.MaxDiffMixedLogit.html
MaxDiffMixedLogit — PyMC-Marketing
pymcmarketing
https://pymc-data-umbrella.xyz/pt/latest/sprint/faq.html
Frequently Asked Questions — Documentação PyMC-Data Umbrella Sprint 0.1
frequently asked questionspymcdataumbrellasprint
https://www.pymc.io/projects/docs/en/latest/api/generated/pymc.pytensorf.hessian_diag.html
pymc.pytensorf.hessian_diag — PyMC dev documentation
pymchessiandiagdevdocumentation
https://discourse.pymc.io/t/automatic-imputation-for-posterior-predictive-check/5623
Automatic imputation for posterior predictive check? - Questions - PyMC Discourse
Aug 15, 2020 - Hi there, I understand that PyMC3 does an automatic imputation of missing data. I guess this cannot be an option that you can switch off because the code would...
automaticimputationposteriorpredictivecheck
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https://www.pymc.io/projects/docs/en/stable/api/distributions/generated/classmethods/pymc.SkewStudentT.dist.html
pymc.SkewStudentT.dist — PyMC 6.3.2 documentation
pymcdistdocumentation
https://www.pymc.io/projects/examples/en/latest/gaussian_processes/HSGP-Basic.html
Gaussian Processes: HSGP Reference & First Steps — PyMC example gallery
The Hilbert Space Gaussian processes approximation is a low-rank GP approximation that is particularly well-suited to usage in probabilistic programming...
gaussian processesfirst stepsexample galleryhsgpreference
https://www.pymc-marketing.io/en/latest/api/generated/pymc_marketing.mmm.hsgp.HSGP.html
HSGP — PyMC-Marketing
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https://www.skills.sh/ovachiever/droid-tings/pymc-bayesian-modeling
pymc-bayesian-modeling — ovachiever/droid-tings
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic…
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https://www.pymc.io/projects/docs/en/latest/api/distributions/generated/pymc.distributions.transforms.Interval.html
pymc.distributions.transforms.Interval — PyMC dev documentation
pymcdistributionstransformsintervaldev
https://www.pymc-marketing.io/en/stable/api/generated/pymc_marketing.mmm.evaluation.compute_summary_metrics.html
compute_summary_metrics — PyMC-Marketing
computesummarymetricspymcmarketing
https://www.pymc-marketing.io/en/latest/api/generated/pymc_marketing.mmm.hsgp.SoftPlusHSGP.html
SoftPlusHSGP — PyMC-Marketing
pymcmarketing
https://www.pymc-marketing.io/en/latest/api/generated/pymc_marketing.customer_choice.mv_its.html
mv_its — PyMC-Marketing
Multivariate Interrupted Time Series Analysis for Product Incrementality. Functions Classes
pymcmarketing
https://www.pymc.io/projects/docs/en/stable/api/generated/classmethods/pymc.smc.kernels.MH.tune.html
pymc.smc.kernels.MH.tune — PyMC 6.3.2 documentation
pymcsmckernelstunedocumentation
https://www.pymc-marketing.io/en/stable/api/generated/pymc_marketing.terms.register_data.html
register_data — PyMC-Marketing
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https://www.pymc.io/projects/docs/en/stable/api/distributions/generated/classmethods/pymc.Categorical.dist.html
pymc.Categorical.dist — PyMC 6.3.2 documentation
pymccategoricaldistdocumentation
https://www.pymc.io/projects/docs/en/stable/_modules/pymc/dims/model.html
pymc.dims.model — PyMC 6.3.2 documentation
pymcdimsmodeldocumentation
https://www.pymc.io/projects/docs/en/latest/api/distributions/generated/pymc.ZeroInflatedNegativeBinomial.html
pymc.ZeroInflatedNegativeBinomial — PyMC dev documentation
pymcdevdocumentation
https://www.pymc.io/projects/docs/en/stable/api/generated/classmethods/pymc.step_methods.CategoricalGibbsMetropolis.competence.html
pymc.step_methods.CategoricalGibbsMetropolis.competence — PyMC 6.3.2 documentation
pymcstepmethodscompetencedocumentation
https://www.pymc.io/projects/examples/en/latest/blog/tag/marginalization.html
Posts tagged marginalization — PyMC example gallery
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https://www.pymc-marketing.io/en/latest/api/generated/pymc_marketing.mmm.transformers.weibull_adstock.html
weibull_adstock — PyMC-Marketing
weibulladstockpymcmarketing