Computer Age Statistical Inference¶
Metadata¶
- Author: Bradley Efron and Trevor Hastie
- ASIN: B01L27MR64
- ISBN: 978-1107149892
- Reference: https://www.amazon.com/dp/B01L27MR64
- Kindle link
Highlights¶
algorithms say what the statistician does while inference says why he or she does it. — location: 580 ^ref-7578
shrinkage prior, one designed to favor smaller values of θ. — location: 993 ^ref-23001
Frequentism replaces the choice of a prior with the choice of a method, or algorithm, t(x), designed to answer the specific question at hand. — location: 1139 ^ref-29693
Bayes’ theorem is an excellent tool in general for combining statistical evidence from disparate sources, — location: 1161 ^ref-51540
Subjective Bayesianism is particularly appropriate for individual decision making, say for the business executive trying to choose the best investment in the face of uncertain information. — location: 7119 ^ref-38297
December 2014 issue of the Annals of Applied Statistics, — location: 7125 ^ref-4344
Markov chain Monte Carlo (MCMC) is the generic name for modern posterior computation algorithms. — location: 7127 ^ref-37604