We fail to present
as many practical worked-out numerical examples as we should. Fortunately, three recent
books largely make up this deficiency, and should be considered as adjuncts to the present
work: Bayesian Spectrum Analysis and Parameter Estimation (Bretthorst, 1988), Maximum
Entropy in Action (Buck and Macaulay, 1991), and Data Analysis – A Bayesian Tutorial
(Sivia, 1996)
Which of these (or some other, more current, text) would you recommend?
From the preface:
Which of these (or some other, more current, text) would you recommend?