If only this book had some more examples of applications, it be a contender for ‘best introductory textbook for statistics’. As it stands, it makes a great complement to either Wasserman’s All of Statistics (filling in the Bayesian side of things) or Gelman, Carlin, Rubin, Stern’s Bayesian Data Analysis (filling in theoretical side of things.) There has been a huge need for a ‘Jaynes-lite’ which offers the philosophical grounding of P:tLoS sans its distracting (and now outdated) polemics.
I’ll second this question. I just started going through Silva’s Data Analysis, which seems really good, though I’m only at chapter 3. My only complaint is that I wish there were exercises at the end of each chapter.
If only this book had some more examples of applications, it be a contender for ‘best introductory textbook for statistics’. As it stands, it makes a great complement to either Wasserman’s All of Statistics (filling in the Bayesian side of things) or Gelman, Carlin, Rubin, Stern’s Bayesian Data Analysis (filling in theoretical side of things.) There has been a huge need for a ‘Jaynes-lite’ which offers the philosophical grounding of P:tLoS sans its distracting (and now outdated) polemics.
How does this compare to Data Analysis: A Bayesian Tutorial? In any case, you should post your suggestion in the Best Textbooks thread.
I haven’t looked through Silva. Kadane does have the advantage of being free to access, however!
I’ll second this question. I just started going through Silva’s Data Analysis, which seems really good, though I’m only at chapter 3. My only complaint is that I wish there were exercises at the end of each chapter.