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This text explores Charles Olson's visionary poetics and the extensive use he made of the writings of Jung. Offering numerous readings of poems from the "Maximus" series, Stein provides a useful and clearly written introduction to the major themes, cosmological speculations, and poetic inventions of Olson's work. Using the poet's notes and marginalia, Stein reveals complex interrelationships of language, geography, and the human body, leading to The Maximus Poems as an archetypal vision of the self.
"These papers were presented and developed as expository talks at a summer-long workshop on Stein's method at Stanford's Department of Statistics in 1998."--P. iii.
Stein's startling technique for deriving probability approximations first appeared about 30 years ago. Since then, much has been done to refine and develop the method, but it is still a highly active field of research, with many outstanding problems, both theoretical and in applications. This volume, the proceedings of a workshop held in honour of Charles Stein in Singapore, August 1983, contains contributions from many of the mathematicians at the forefront of this effort. It provides a cross-section of the work currently being undertaken, with many pointers to future directions. The papers in the collection include applications to the study of random binary search trees, Brownian motion on manifolds, Monte-Carlo integration, Edgeworth expansions, regenerative phenomena, the geometry of random point sets, and random matrices.
A presentation of seven essential texts, central to the Hermetic Tradition, never before published together • Includes Theogony, The Homeric Hymn to Hermes, The Poem of Parmenides, The Poimandres, The Chaldean Oracles, Hymn to Isis, and On Divine Virtue, each translated from the original Greek or Latin • Presents interpretive commentary for each text to progressively weave them together historically, poetically, hermeneutically, and magically Linked to both the Greek god Hermes and the Egyptian god Thoth, Hermes Trismegistus is credited, through legend, with thousands of mystical and philosophical writings of high standing, each reputed to be of immense antiquity. During the Renaissance,...
Index to New York in the Spanish-American war
A common theme in probability theory is the approximation of complicated probability distributions by simpler ones, the central limit theorem being a classical example. Stein's method is a tool which makes this possible in a wide variety of situations. Traditional approaches, for example using Fourier analysis, become awkward to carry through in situations in which dependence plays an important part, whereas Stein's method can often still be applied to great effect. In addition, the method delivers estimates for the error in the approximation, and not just a proof of convergence. Nor is there in principle any restriction on the distribution to be approximated; it can equally well be normal, ...
Since its introduction in 1972, Stein’s method has offered a completely novel way of evaluating the quality of normal approximations. Through its characterizing equation approach, it is able to provide approximation error bounds in a wide variety of situations, even in the presence of complicated dependence. Use of the method thus opens the door to the analysis of random phenomena arising in areas including statistics, physics, and molecular biology. Though Stein's method for normal approximation is now mature, the literature has so far lacked a complete self contained treatment. This volume contains thorough coverage of the method’s fundamentals, includes a large number of recent developments in both theory and applications, and will help accelerate the appreciation, understanding, and use of Stein's method by providing the reader with the tools needed to apply it in new situations. It addresses researchers as well as graduate students in Probability, Statistics and Combinatorics.