Possible typos in chapters 13, 14, 15, 16

[fayolle]

• chapter 13:

  • In 13.2.1 LIME
    In the expressions for the Euclidean and Manhattan distance, the index in the summand should be “n” instead of “i”

• chapter 14:

  • In 14.1.2
    “dagitty (textor2016robust)” -> “dagitty \cite{textor2016robust}” ?
  • In 14.1.3 (Structural time series models)
    The last 4 chapters of the sub-section are in italic (“During the post-intervention, … “)

• chapter 15:

  • In 15.2.1
    Below (15.1): \Delta_{i,i} \geq 0 instead of “\Delta i,i \geq 0”
  • In 15.2.2 (PCA)
    “All of this is coded in the covariance matrix of Y“ -> In the covariance matrix of Z
  • In (15.4) and the text below, \Sigma_Y is used, but it should be \Sigma_Z
  • In 15.2.3 (Autoencoder)
    The first equation should be: Z = XP and X = ZP’
    Below (15.6) “the recoding cannot recover P” -> “the recoding cannot recover X”
    “see Proposition 1 in for the case of single layer autoencoders.” -> The reference is missing after “for”

• chapter 16:

  • In 16 (Reinforcement Learning).
    Some of the references in the first paragraph are missing \cite:
    “Market microstructure is a focal framework (Wei et al. (2019), ferreira2020reinforced, karpe2020multi).” -> \cite{ferreira2020reinforced}, \cite{karpe2020multi}
  • In 16.1.2 (Q-learning), there is a bug in (16.8): “echo of (???)”. It should be an undefined \ref
  • In 16.1.3 (SARSA), “In expected SARSA, the average smoothes the learning process” -> “smooths”
  • In 16.2 (The curse of dimensionality), “The number of options for weight combinations is exponentially increasing N” -> “increasing with N”?
  • In 16.3.2 (Extensions), there is a missing \cite (or \ref) in “see, e.g., section 2.3.1 in”

[shokru]

WOW! Thanks a lot (again)!
In chapter 14, yes, the final part is in italic on purpose because it's the output from the function call (we did not write it).
In chapter 15, I don't know why I included Y's all over the place.
If (when?) there is a second edition, it will much cleaner than the first one, in great part thanks to you!

[fayolle]

Thank you. It was a very nice read.