1764 · London
"Bayes's Essay contains the first statement of Bayes's Theorem for calculating 'inverse probabilities', which forms the basis for methods of decision analysis, statistical learning machines, and Bayesian networks. Bayesian networks are complex diagrams that organise the body of knowledge in any given area by mapping out cause-and-effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another. Programmed into computers, these systems can automatically generate optimal predictions or decisions even when key pieces of information are missing. Bayesian or subjective decision theory is arguably the most comprehensive theory of decision-making; however, until the late 1980s, it had little impact due to the stupefying complexity of the mathematics involved. The rapid advances in computing power and the development of key mathematical equations during the late 1980s and early 1990s made it possible to compute Bayesian networks with enough variables to be useful in practical applications" (Hook & Norman).
With the advent of the Internet, Bayesian networks have been applied extensively to fundamental search structures. "Search giant Google and Autonomy, a company that sells information retrieval tools, both employ Bayesian principles to provide likely (but technically never exact) results to data searches. Researchers are also using Bayesian models to determine correlations between specific symptoms and diseases, create personal robots, and develop artificially intelligent devices that 'think' by doing what data and experience tell them to do" (Michael Kanellos, "18th-century theory is new force in computing").
Only one other mathematical contribution of Bayes has come down to us, which appears on pp. 269-71. It is referred to by Price on p. 401 of the Essay in connection with the evaluation of factorials needed for the second rule. In this paper Bayes considers the series for log n! given by Stirling and de Moivre. He makes the important observation that "at length the subsequent terms of this series are greater than the preceding ones, and increase in infinitum, and therefore the whole series can have no ultimate value whatsoever" (p. 270). This was contrary to de Moivre's view that the series "converged, but slowly". Bayes was, in fact, the first to appreciate the asymptotic character of Stirling's series: there is now an extensive theory of such 'asymptotic series'. The present volume also contains a paper by Ferguson on the anticipated 1769 transit of Venus, which prompted Captain Cook's voyage to Tahiti, and led to the first accurate measurement of the sun's distance, illustrated with a large detailed folding engraved plate.
WITH: "A Letter from the Late Reverend Mr. Thomas Bayes, F.R.S. to John Canton" (Vol LIII, pp. 269-271); cited above.
ALSO WITH: "A Demonstration of the Second Rule in the Essay towards the Solution of a Problem in the Doctrine of Chances, published in the Philosophical Transactions, Vol. LIII" - a long paper (pp.296- 325) by Richard Price exploring Bayes's Second Rule, published in Vol. LIV (included in a full separate volume).
In: Philosophical Transactions, Vol. LIII (1763), pp. 370-418. London: L. Davis and C. Reymers, Printers to the Royal Society, 1764. AND: Vol. LIV (1764), pp. 296-325 (Price paper on Bayes). Quarto, contemporary full calf with elaborately gilt-decorated spines. Recent leather spine labels and headbands, remnants of old paper labels at base of spines. Nearly invisible repairs to binding extremities/joints. Foxing to general title (as often); text with some occasional minor light foxing/browning but generally very clean.
AN OUTSTANDING COPY - THE NICEST WE'VE HAD - OF BAYES'S IMPORTANT WORK. (Inventory #: 2435)