Bayesian Core

A Practical Approach to Computational
Bayesian Statistics

J.-M. Marin & Ch. P. Robert

Springer-Verlag [site], New York, 2007, ISBN 0-387-38979-2

Typos in the first printing, corrected in second printing

In the R code of Figure 1.1, a log(3) on the rhs column should be a log(10) to coincide with the lhs column. Similarly, in Figure 1.2, the first item produces a vector of 20 terms. At last, in Figure 1.3, the first command produces a vector with five, not three, values (Thanks to Soleiman).
Similarly, the example on the syntax of while at the top of page 13 should be while (expres1) where expres1 is a boolean expression (Thanks to Petri Koistinen).
In Section 2.2.1, at the bottom of page 19, the indicator on θ should be an indicator on μ (Thanks to Fazlollah Lak).
In the remark page 34, the reference on pseudo-Bayes factors should be Robert (2001, Chapter 5) (Thanks to Fazlollah Lak).
In Section 3.1.2, in the formula right after Exercise 3.3, the summation term is superfluous, given the matricial notation. But the X matrix is missing in front of the β (Thanks to Dominik Hangartner).
In Section 3.2.1., in the data analysis on page 57, the variance involves a (2.1-1)² rather than a (2.1-2)² but the value is correct (Thanks to Dominik Hangartner).
In Exercise 4.12, y_i is defined as the indicator that z_i is negative and in Exercise 4.13, the conditions for properness cannot be expressed only in terms of both sums Σ_i y_i and Σ_i (1-y_i).
In Section 5.2.3, at the bottom of page 129, π(N,P) should be π(N,p).
On page 162, the permutation τ(θ,p) is missing the p_i's (Thanks to Jarrett Barber)
On top of page 163, there are two s₁²(z), instead of s₁²(z) and s₂²(z) (Thanks to Jarrett Barber)
On Figure 6.7, the lower rhs graph is for the pair (σ_i,μ_i) not (σ_i,p_i) (Thanks to Jarrett Barber)
On page 173, the squares [...]² within the exponentials are missing the norm ||...||² symbol (Thanks to Jarrett Barber)
Right after Exercise 6.18, there is a k₁ in the denominator of the birth acceptance probability that should be a k+1 (Thanks to Hossein Gholami.)
In Exercise 7.4, the Student's t distribution is with T-1 degrees of freedom and with a different value of ν_t than the one proposed.
In formula (7.4), Section 7.2.1, the sum involves x_t-i not x_t+1-i (Thanks to Hossein Gholami and to Jarrett Barber.)
In Exercise 7.7, the prior 1/σ must be understood as a prior on σ, not σ²
In Exercise 7.8, the final sentence "Deduce that...." should be removed.
In Exercise 7.9, the lognormal proposal should have log(σ_t-1²) as its mean.
Formula (7.10) is missing a minus sign after ε_t .
In Exercise 7.17, the definition of φ_r involves x_1:r-1, not x_1:t-1.
On page 219, the g is missing in the polyprobit model P(y=g|y) (Thanks to Jarrett Barber)
In Chapter 8, the conditional distributions (8.1) do not lead to a joint distribution if the N_k(i) are different. Rewrite (8.1) with N_k(i) being the average number of neighbours over all x_i's. Same thing for (8.2). (Then Exercise 8.5 can be solved!)
On page 222, the p_g on the last line should be a p_G, but this is unrelated with parental guidance! (Thanks to Jarrett Barber)
On page 224, the uniform proposal is on the 2r neighbours of k, not the r neighbours (Thanks to Jarrett Barber)
On page 225, for the vision dataset, the Metropolis-Hastings chain concentrates on k=6, not k=5 (Thanks to Jarrett Barber)
In Exercise 8.6, the condition on the support of π is unclear. It should be phrased as "If a joint density π(y₁,...,y_n) is such that the conditionals π(y_-i|y_i) never cancel on the supports of the marginals m_-i(y_-i), show that the support of π is equal to the cartesian product of the supports of the marginals."
In Exercise 8.10, the indices are not right: it should read as x_ij with (i+j) = 0(2) conditional on x_ij with (i+j) = 1(2)
On pages 237 and 239, including (8.8), the double summations should reduce to a single summation on the (i,j)'s such that i~j.

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