rmcelreath / statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
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Typos: Chapter 4 #10

Open kenjioman opened 5 years ago

kenjioman commented 5 years ago

(Still present as of the 2019.02.19 version)

Section 4.1, Pg 72, last sentence of 1st paragraph of section

Section 4.3.5, Pg 88, Model definition equations (between code block 4.26 and 4.27)

Section 4.4, Pg 92, Rethinking "What is regression"? box, 2nd paragraph

Section 4.4.1.3, Pg 96, 1st full paragraph on page

Section 4.4.3.4, Pg 106, paragraph after code block 4.55, last sentence

Section 4.5.1, Pg 113 or 114, code block 4.69 or the model specification (math) right above it

mcol commented 5 years ago

Section 4.4.1.3, p.95

mcol commented 5 years ago

Section 4.4.3, p.99

PabloIsCoding commented 5 years ago

Section 4.3.2, p.83

PabloIsCoding commented 4 years ago

Section 4.4.1, p.95-96

Side comment: "probability of the data" doesn't seem like the best way of expressing this. The probability of observing a given sample on a continuous distribution is zero. As far as I recall there is no discussion in previous chapter of the simplification of saying "probability of the data".

downey205 commented 4 years ago

Hi Richard,

I am following Pablo’s lead and posting typos in hopes that they are helpful.

-Sean

AUGUST 2 VERSION

P130 - "here I’ve chosen R for marriage rate" --> "here I’ve chosen M for marriage rate"

P211 - "In previous chapters, when I forced us to revise the priors until the prior predictive distribution produced only reasonable outcomes. " --> Delete "when"?

P218 - "To see how the WAIC calculations actually work, consider a simple regression fit with map:" --> "map"--"quap"

R code 7.28

n <- length(waic_m6.6) --> waic_m6.6 is not defined, so I think this should be n <- length(waic_m6.7)

234 - mentions the 'ensemble' function, but I do not this it has been used in the chapter.

270 - the chain very slow makes -- the chain very slowly makes

287 - the chains is much clear, --> the chains is much clearer,

SWITCHED TO READING THE SEPT 24 VERSION

P326 The problem is that deviance is part normalizing constant. Missing word?

P338 - "You can reproduce is with this code:" is -> it

P418 - "The values α ̄ = 1.4 ..." 1.4->1.5

P419 - "Now to fit the model to the simulated data, using map2stan [Ulam]. I’ll use a single long chain in this example, but keep in mind that you need to use multiple chains to check convergence to the right posterior distribution. In this case, it’s safe. But don’t get cocky." Needs editing because the code example uses 4 chains

P425 - "I’ve down this on" --> down -> done

P434 - "the same simulate chimpanzee," simulate->simulated


Dr. Sean S. Downey Associate Professor, Department of Anthropology Core Faculty, Sustainability Institute The Ohio State University 4034 Smith Laboratory 174 W. 18th Avenue Columbus OH, 43210-1106

Office: 614-688-3904 Mobile: 240-392-0220 Belize: +501-664-9012 SkypeId: seandowney1234 https://osu-cfaes.zoom.us/j/3613727623

On 29Oct, 2019, at 10:42 AM, PabloIsCoding notifications@github.com<mailto:notifications@github.com> wrote:

Section 4.4.1, p.95-96

Side comment: "probability of the data" doesn't seem like the best way of expressing this. The probability of observing a given sample on a continuous distribution is zero. As far as I recall there is no discussion in previous chapter of the simplification of saying "probability of the data".

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PabloIsCoding commented 4 years ago

Hi @downey205 , I noticed that you answered an email so you may not have noticed that there are open issues on github for each chapter of the book. As a matter of fact I didn't start this thread!

I have no idea if Richard cares about where we post the typos, but maybe some of yours were already spotted in some other thread (I haven't checked though). I'd suggest that you take a look here: https://github.com/rmcelreath/statrethinking_winter2019/issues

By the way, it's a great idea to post the date of download of the book just in case they change, so I'll start doing it myself!