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Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian...

In this book, Stone effects a return to gender, after many years of neglect by Twenty-First-Century critics, via a methodology of close reading that foregrounds moments of sexual decentering and disequilibrium within the text and in the interstices of the dialogue between Shakespeare and his critics. Issues addressed range from the cross dressing of Viola and Imogen to the cross gartering of Malvolio, the sound of "un" and the uncanny lyric narcissism of Richard II, Hamlet's misogyny, androgyny, and the poison of marital/political "union," Othello's fears of impotence, rumors of Antony's...

In this book, Stone effects a return to gender, after many years of neglect by Twenty-First-Century critics, via a methodology of close reading that foregrounds moments of sexual decentering and disequilibrium within the text and in the interstices of the dialogue between Shakespeare and his critics. Issues addressed range from the cross dressing of Viola and Imogen to the cross gartering of Malvolio, the sound of "un" and the uncanny lyric narcissism of Richard II, Hamlet's misogyny, androgyny, and the poison of marital/political "union," Othello's fears of impotence, rumors of Antony's...

In this accessible and engaging introduction to modern vision science, James Stone uses visual illusions to explore how the brain sees the world. Understanding vision, Stone argues, is not simply a question of knowing which neurons respond to particular visual features, but also requires a computational theory of vision. Stone draws together results from David Marr's computational framework, Barlow's efficient coding hypothesis, Bayesian inference, Shannon's information theory, and signal processing to construct a coherent account of vision that explains not only how the brain is fooled by...