Here are some additional typos from chapter 2 (at least, I think they are typos ;)
Section 2.1.3, Pg 27, right underneath R code box 2.1
... denominator “sum of products” in the expression near the top of the page
Although perhaps technically correct (yes, the expression with "sum of products" is within the first half of the page), I think either having an equation number or some other description would allow a reader to more quickly identify which equation you refer to.
Section 2.4.1, Pg 37, in the paragraph right before the last equation on the page
The probability Pr(wW; L) is literially the average probability of the data.
the probability expression should be Pr(W; L)
misspelling of literally
Section 2.4.2, Pg 39, last sentence of first paragraph
... a uniquely logical posterior for set of assumptions and observations.
I think we need an "a": for a set
Section 2.4.3, Pg 41, right above R code box 2.5
Now to replicate the different priors in Figure 2.5, ...
Should be Figure 2.6
Section 2.4.4, Pg 43, right under R code box 2.6
To use quap, you provide a formula, a list of data.
Perhaps should be formula and a list
Section 2.4.4, Pg 44, end of Rethinking Maximum Likelihood section
... maximum likelihood estimates have some curious drawbacks, and can share them.
It is a little vague what is sharing the drawbacks. Perhaps be a bit more explicit, like and Bayesian approximation can share them.
Here are some additional typos from chapter 2 (at least, I think they are typos ;)
Section 2.1.3, Pg 27, right underneath R code box 2.1
near the top of the page
Section 2.4.1, Pg 37, in the paragraph right before the last equation on the page
Pr(wW; L)
isliterially
the average probability of the data.Pr(W; L)
literally
Section 2.4.2, Pg 39, last sentence of first paragraph
for set
of assumptions and observations.for a set
Section 2.4.3, Pg 41, right above R code box 2.5
Figure 2.5
, ...Figure 2.6
Section 2.4.4, Pg 43, right under R code box 2.6
formula, a list
of data.formula and a list
Section 2.4.4, Pg 44, end of Rethinking Maximum Likelihood section
and can share them
.and Bayesian approximation can share them
.