Information Theory, Inference, and Learning ... - Inference Group

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Copyright Cambridge University Press 2003. On-screen viewing permitted. Printing not permitted. http://www.cambridge.org/0521642981You can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/mackay/itila/ for links.466 37 — Bayesian Inference and Sampling Theorywith the idea that there is only one answer to a well-posed problem; but it’snot essential to convert sampling theorists to this viewpoint: instead, we canoffer them Bayesian estimators and Bayesian confidence intervals, and requestthat the sampling theoretical properties of these methods be evaluated. Wedon’t need to mention that the methods are derived from a Bayesian perspective.If the sampling properties are good then the pragmatic samplingtheorist will choose to use the Bayesian methods. It is indeed the case thatmany Bayesian methods have good sampling-theoretical properties. Perhapsit’s not surprising that a method that gives the optimal answer for each individualcase should also be good in the long run!Another piece of common ground can be conceded: while I believe thatmost well-posed inference problems have a unique correct answer, which canbe found by Bayesian methods, not all problems are well-posed. A commonquestion arising in data modelling is ‘am I using an appropriate model?’ Modelcriticism, that is, hunting for defects in a current model, is a task that maybe aided by sampling theory tests, in which the null hypothesis (‘the currentmodel is correct’) is well defined, but the alternative model is not specified.One could use sampling theory measures such as p-values to guide one’s searchfor the aspects of the model most in need of scrutiny.Further readingMy favourite reading on this topic includes (Jaynes, 1983; Gull, 1988; Loredo,1990; Berger, 1985; Jaynes, 2003). Treatises on Bayesian statistics from thestatistics community include (Box and Tiao, 1973; O’Hagan, 1994).37.5 Further exercises⊲ Exercise 37.2. [3C ] A traffic survey records traffic on two successive days. OnFriday morning, there are 12 vehicles in one hour. On Saturday morning,there are 9 vehicles in half an hour. Assuming that the vehicles arePoisson distributed with rates λ F and λ S (in vehicles per hour) respectively,(a) is λ S greater than λ F ?(b) by what factor is λ S bigger or smaller than λ F ?⊲ Exercise 37.3. [3C ] Write a program to compare treatments A and B givendata F A+ , F A− , F B+ , F B− as described in section 37.1. The outputsof the program should be (a) the probability that treatment A is moreeffective than treatment B; (b) the probability that p A+ < 10 p B+ ; (c)the probability that p B+ < 10 p A+ .
Copyright Cambridge University Press 2003. On-screen viewing permitted. Printing not permitted. http://www.cambridge.org/0521642981You can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/mackay/itila/ for links.Part VNeural networks
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