Fake data simulation to the rescue!
I couldn't get optimization to work when working with the model for German migration, so I finally decided to generate a full dataset using the model itself. Then try to recover the parameters I used. Still had problems... which is a bad sign, but led to debugging some simple code bugs... and now it fits like crazy!
#statistics #socialscience #data #datascience #julialang #turinglang
On Thursday afternoon (15:45) I'll host panel discussion on probabilistic programming (and what does it require to ge a new algorithm added to some PPL package) with panelists
- Mitzi Morris, #Stan / Columbia University
- Junpeng Lao @junpenglao, TFP / #PyMC / Google
- Tor Fjelde, #TuringLang / University of Cambridge
- Henri Pesonen @henri_pesonen, #ELFI / Oslo University Hospital
Soon Turing.jl users will be able to natively store all sampling outputs in an @ArviZ InferenceData object.
To experiment with the bleeding edge, check out https://github.com/sethaxen/DynamicPPLInferenceObjects.jl!
Daniel Lakeland
Aki Vehtari
ArviZ
Seth Axen 🪓 
