Missing dataset: 8M10 about bookcode_edition1 HOT 8 CLOSED

Sorry: also the simulator mentioned in the problem seems to be missing.

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I am really sorry, I can't find the files on my computer, they may be on my old laptop or a backup disk. It may take me one or two days to find the files, in the meantime, you can explore this notebook https://docs.pymc.io/en/v3/pymc-examples/examples/samplers/SMC-ABC_Lotka-Volterra_example.html#Lotka%E2%80%93Volterra that was the inspiration for exercises 8M10 and 8M11.

from bookcode_edition1.

That's a big help. I gave the exercise to students as part of an end-of-semester poject. I should have checked ahead of time. Anyway, they should be able to get what they need from here. If you do find (or re-generate) an appropriate set of files, I'll be happy to pass them on.

Opher

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@opherdonchin its on us to have provided them. Thank you for your patience while we fix things.

If you dont mind me asking what kind of class are you teaching? Would love to get more feedback on how we can improve things for you and your students

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Hi. Thanks for all the help!

Briefly, it's a graduate level course primarily aimed at biomedical engineering students who had a semester of frequentist statistics as undergrads (also taught by me). I'm happy to share the syllabus and also quite happy to discuss. It's not easy figuring out exactly what to teach.

Opher

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Hey guys, a year in and I forgot I didn't have the dataset and assigned the same project again. Any chance you could quickly generate the dataset so that my students can do their project as the authors intended?

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I am really, really sorry. The file is here https://github.com/BayesianModelingandComputationInPython/BookCode_Edition1/blob/main/exercises/data/Lotka-Voltera_00.csv

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Thanks so much!

I've really enjoyed teaching from the book. I combine it with Bayesian Analysis With Python and Statistical Rethinking and jump back and forth between them. I find the computational depth and the quality of the exercises in your book to be really excellent.

Opher

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