Comments (8)
Sorry: also the simulator mentioned in the problem seems to be missing.
from bookcode_edition1.
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
from bookcode_edition1.
@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
from bookcode_edition1.
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
from bookcode_edition1.
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?
from bookcode_edition1.
I am really, really sorry. The file is here https://github.com/BayesianModelingandComputationInPython/BookCode_Edition1/blob/main/exercises/data/Lotka-Voltera_00.csv
from bookcode_edition1.
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
from bookcode_edition1.
Related Issues (20)
- More documentation for run_mcmc_simple
- Missing p in equation
- Manuscript Error: Code 1.7 doesn't work in PyMC version 5 HOT 2
- Manuscript Error:
- No install file
- Bayesian Structural Time Series - Code adjusments
- Manuscript Error: Mismatch - Chapter 8 book code to notebook code in rvs function
- Manuscript Error: Code 6.15 vs Equation 6.7 HOT 1
- Issue on page /markdown/chp_11.html (imprecise example of 0 probability)
- Problem to reproduce Figure 1.5 HOT 4
- Type Error on import of Tensorflow Code Block 3.7 Chapter 03 HOT 1
- Manuscript Error: HOT 3
- Manuscript Error:
- Code for Figure 2.7 not working with PYMC5
- Are solutions available to exercises?
- Fix TFP Code
- Solution of question 5M16 BMCP
- Better reference to scientific citation data in Problem 8M9
- Manuscript Error: HOT 1
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