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## Learning objectives
- How do we incorporate continuous predictors into our model?
- as normal
- but centre them
- How do we interpret model estimates for continuous predictors?
- chang…
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In AdvancedHMC.jl we now have a [`DifferentiableDensityModel`](https://github.com/TuringLang/AdvancedHMC.jl/blob/7cad9f02e6eb4095ad8b2e7ef06d3474dfb19135/src/abstractmcmc.jl#L47-L52) which we required…
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Currently, Chainsail supports only a single family of tempered distributions, namely the Boltzmann distribution / canonical ensemble-like $p(x|\beta) \propto p(x)^\beta$. To make Chainsail more appeal…
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Hello!
I have a naive question : is there a way to infer the size of an array and the elements present in this array?
My objective is to recover past earthquakes on a fault given the concentration o…
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Here are some features and use cases that @cscherrer brought up on Slack.
- Inlining data in a model
- But not forcing that - data can also be external
- Online modeling, e.g. Kalman filtering
-…
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In the [elbo_interactive_plot.py](https://github.com/GStechschulte/machine-learning-and-simulation/blob/main/english/probabilistic_machine_learning/elbo_interactive_plot.py) script, the values in the …
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Matthew N. Bernstein. [Variational inference](https://mbernste.github.io/posts/variational_inference/).
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This is a really fantastic package! When building bayesian multilevel models I often want to generate posterior predictive distributions that you can only create when you have access to all of the par…
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**Submitting author:** @roualdes (Edward Roualdes)
**Repository:** https://github.com/roualdes/bridgestan
**Branch with paper.md** (empty if default branch): joss
**Version:** v2.1.2
**Editor:** @Niko…
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Hello,
emmip() plots with CI=T and PI=T together overrides the type="response" for others than LM
**poisson:**
data(Salamanders, package="glmmTMB")
m1