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 twiecki.io
whilemy_mcmc:gently(samples) - The Best Of Both Worlds: Hierarchical Linear Regression in PyMC
| | www.djmannion.net
Fitting models with circular data in PyMC
1.9 parsecs away

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| | Data are sometimes on a circular scale, such as the angle of an oriented stimulus, and the analysis of such data often needs to take this circularity into account. Here, we will look at how we can use PyMC to fit a model to circular data.
| | austinrochford.com
Bayesian Age/Period/Cohort Models in Python with PyMC | Austin Rochford
1.6 parsecs away

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| | For my day job, I spend a lot of time thinking about e-commerce analytics and cohort analysis in particular. Statistical age-period-cohort (APC) models are important in many fields such as epidemiolo
| | ckrapu.github.io
Don't know where your data is from? Bayesian modeling for unknown coordinates | Christopher Krapu
2.4 parsecs away

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| | A PyMC Gaussian process example with uncertain spatial coordinates
| | swingleydev.com
metachronistic
22.1 parsecs away

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| [AI summary] The author uses SQL, R, and Arduino programming to analyze historical temperature and snowfall data in Fairbanks, Alaska, to investigate trends in the timing and intensity of extreme cold and snow-free periods.