Notes on Books - By Subject

Economics

  • [Romer2011] David H. Romer. Advanced Macroeconomics. McGraw-Hill, 2011.

Statistics

  • [Barber2014] David Barber. Bayesian Reasoning and Machine Learning. Cambridge University Press, 2014.
  • [Caffo2015] Brian Caffo. Developing Data Products in R. , 2015.
  • [Daume2015] Hal Daume III. A Course in Machine Learning. , 2015.
  • [Downey2012] Allen B. Downey. Think Bayes: Bayesian Statistics Made Simple. , 2012.
  • [HastieTibshiraniFriedman2009] Trevor Hastie, Robert Tibshirani, Jerome Friedman. The Elements of Statistical Learning. , 2009.
  • [HastieTibshiraniWainwright2015] Trevor Hastie, Robert Tibshirani, Martin Wainwright. Statistical Learning with Sparsity. , 2015.
  • [JamesETAL2013] Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. An Introduction to Statistical Learning. , 2013.
  • [Lavine2013] Michael Lavine. Introduction to Statistical Thought. , 2013.
  • [Mackay2003] David J.C. MacKay. Information Theory, Inference, and Learning Algorithms. , 2003.
  • [Matloff2015] Norm Matloff. From Algorithms to Z-Scores: Probabalistic and Statistical Modeling in Computer Science. , 2015.
  • [Neapolitan2004] Richard E. Neapolitan. Learning Bayesian Networks. , 2004.
  • [Oehlert2010] Gary W. Oehlert. A First Course in Design and Analysis of Experiments. , 2010.
  • [RasmussenWilliams2006] Carl Edward Rasmussen, Christopher K.I. Williams. Gaussian Processes for Machine Learning. , 2006.
  • [Taleb2015] Nassim Nicholas Taleb. Silent Risk. , 2015.
  • [Welling2010] Max Welling. A First Encounter with Machine Learning. , 2010.

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