Zhiyi Chi's Books

A First Course in Linear Model Theory

By: Nalini Ravishanker,Zhiyi Chi,Dipak K. Dey

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A First Course in Linear Model Theory

By: Nalini Ravishanker,Zhiyi Chi,Dipak K. Dey

Thoroughly updated throughout, A First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach, the authors introduce to students the mathematical and statistical concepts and tools that form a foundation for studying the theory and applications of both univariate and multivariate linear models. In addition to adding R functionality, this second edition features three new chapters and several sections on new topics that are extremely relevant to the current research in statistical methodology. Revised or expanded topics include linear fixed, random and mixed effects models, generalized linear models, Bayesian and hierarchical linear models, model selection, multiple comparisons, and regularized and robust regression. New to the Second Edition: Coverage of inference for linear models has been expanded into two chapters. Expanded coverage of multiple comparisons, random and mixed effects models, model selection, and missing data. A new chapter on generalized linear models (Chapter 12). A new section on multivariate linear models in Chapter 13, and expanded coverage of the Bayesian linear models and longitudinal models. A new section on regularized regression in Chapter 14. Detailed data illustrations using R. The authors' fresh approach, methodical presentation, wealth of examples, use of R, and introduction to topics beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing and invaluable first step in students' study of advanced linear models, generalized linear models, nonlinear models, and dynamic models.

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528

Publisher

CRC Press

Published Date

ISBN 10

1351653199

ISBN 13

9781351653190

Poetry, History, Memory

Wang Jingwei and China in Dark Times

By: Zhiyi Yang

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Poetry, History, Memory

Wang Jingwei and China in Dark Times

By: Zhiyi Yang

Wang Jingwei, poet and politician, patriot and traitor, has always been a figure of major academic and popular interest. Until now, his story has never been properly told, let alone critically investigated. The significance of his biography is evident from an ongoing war on cultural memory: modern mainland China prohibits serious academic research on wartime collaboration in general, and on Wang Jingwei in particular. At this critical juncture, when the recollection of World War II is fading from living memory and transforming into historical memory, this knowledge embargo will undoubtedly affect how China remembers its anti-fascist role in WWII. In Poetry, History, Memory: Wang Jingwei and China in Dark Times, Zhiyi Yang brings us a long overdue reexamination of Wang’s impact on cultural memory of WWII in China. In this book, Yang brings disparate methodologies into a fruitful dialogue, including sophisticated methods of poetic interpretation. The author argues that Wang’s lyric poetry, as the public performance of a private voice, played a central role in constructing his political identity and heavily influenced the public’s posthumous memory of him. Drawing on archives (in the PRC, Taiwan, Japan, the USA, France, and Germany), memoires, historical journals, newspapers, interviews, and other scholarly works, this book offers the first biography of Wang that addresses his political, literary, and personal life in a critical light and with sympathetic impartiality.

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Page Count

351

Publisher

University of Michigan Press

Published Date

ISBN 10

0472903918

ISBN 13

9780472903917

Statistical Implications of Turing's Formula

By: Zhiyi Zhang

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Statistical Implications of Turing's Formula

By: Zhiyi Zhang

Features a broad introduction to recent research on Turing’s formula and presents modern applications in statistics, probability, information theory, and other areas of modern data science Turing's formula is, perhaps, the only known method for estimating the underlying distributional characteristics beyond the range of observed data without making any parametric or semiparametric assumptions. This book presents a clear introduction to Turing’s formula and its connections to statistics. Topics with relevance to a variety of different fields of study are included such as information theory; statistics; probability; computer science inclusive of artificial intelligence and machine learning; big data; biology; ecology; and genetics. The author provides examinations of many core statistical issues within modern data science from Turing's perspective. A systematic approach to long-standing problems such as entropy and mutual information estimation, diversity index estimation, domains of attraction on general alphabets, and tail probability estimation is presented in light of the most up-to-date understanding of Turing's formula. Featuring numerous exercises and examples throughout, the author provides a summary of the known properties of Turing's formula and explains how and when it works well; discusses the approach derived from Turing's formula in order to estimate a variety of quantities, all of which mainly come from information theory, but are also important for machine learning and for ecological applications; and uses Turing's formula to estimate certain heavy-tailed distributions. In summary, this book: • Features a unified and broad presentation of Turing’s formula, including its connections to statistics, probability, information theory, and other areas of modern data science • Provides a presentation on the statistical estimation of information theoretic quantities • Demonstrates the estimation problems of several statistical functions from Turing's perspective such as Simpson's indices, Shannon's entropy, general diversity indices, mutual information, and Kullback–Leibler divergence • Includes numerous exercises and examples throughout with a fundamental perspective on the key results of Turing’s formula Statistical Implications of Turing's Formula is an ideal reference for researchers and practitioners who need a review of the many critical statistical issues of modern data science. This book is also an appropriate learning resource for biologists, ecologists, and geneticists who are involved with the concept of diversity and its estimation and can be used as a textbook for graduate courses in mathematics, probability, statistics, computer science, artificial intelligence, machine learning, big data, and information theory. Zhiyi Zhang, PhD, is Professor of Mathematics and Statistics at The University of North Carolina at Charlotte. He is an active consultant in both industry and government on a wide range of statistical issues, and his current research interests include Turing's formula and its statistical implications; probability and statistics on countable alphabets; nonparametric estimation of entropy and mutual information; tail probability and biodiversity indices; and applications involving extracting statistical information from low-frequency data space. He earned his PhD in Statistics from Rutgers University.

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Page Count

372

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119237092

ISBN 13

9781119237099

Dialectics of Spontaneity

The Aesthetics and Ethics of Su Shi (1037-1101) in Poetry

By: Zhiyi Yang

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Dialectics of Spontaneity

The Aesthetics and Ethics of Su Shi (1037-1101) in Poetry

By: Zhiyi Yang

In Dialectics of Spontaneity, Zhiyi Yang examines the aesthetic and ethical theories of Su Shi, the primary poet, artist, and statesman of Northern Song.

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Page Count

248

Publisher

BRILL

Published Date

ISBN 10

9004298533

ISBN 13

9789004298538

Advances in Ultrafast Optics

By: Fei He,Derong Li,Wei Quan,Shufeng Wang,Zhiyi Wei,Heping Zeng

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Advances in Ultrafast Optics

By: Fei He,Derong Li,Wei Quan,Shufeng Wang,Zhiyi Wei,Heping Zeng

No detailed description available for "Advances in Ultrafast Optics".

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Page Count

446

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

3110304554

ISBN 13

9783110304558

A First Course in Linear Model Theory

By: Nalini Ravishanker,Zhiyi Chi,Dipak K. Dey

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A First Course in Linear Model Theory

By: Nalini Ravishanker,Zhiyi Chi,Dipak K. Dey

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Page Count

528

Publisher

CRC Press

Published Date

ISBN 10

1351653199

ISBN 13

9781351653190

A First Course in Linear Model Theory

By: Nalini Ravishanker,Zhiyi Chi,Dipak Dey

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A First Course in Linear Model Theory

By: Nalini Ravishanker,Zhiyi Chi,Dipak Dey

A First Course in Linear Model Theory systematically presents the basic theory behind linear statistical models with motivation from an algebraic as well as a geometric perspective. Through the concepts and tools of matrix and linear algebra and distribution theory, it provides a framework for understanding classical and contemporary linear model theory. It does not merely introduce formulas, but develops in students the art of statistical thinking and inspires learning at an intuitive level by emphasizing conceptual understanding"--

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Page Count

513

Publisher

CRC Press

Published Date

ISBN 10

1032101393

ISBN 13

9781032101392

Stopping and Seeing

A Comprehensive Course in Buddhist Meditation

By: Chih-i

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Stopping and Seeing

A Comprehensive Course in Buddhist Meditation

By: Chih-i

Stopping" and "seeing" are sometimes referred to as the yin and yang of Buddhist meditation—complementary twin halves of a unified whole. In essence, "stopping and seeing" refers to stopping delusion and seeing truth, processes back to basic Buddhist practice. One of the most comprehensive manuals written on these two essential points of Buddhist meditation is "The Great Stopping and Seeing," a monumental work written by sixth-century Buddhist master Chih-i. Stopping and Seeing, the first translation of this essential text, covers the principles and methods of a wide variety of Buddhist meditation techniques and provides an in-depth presentation of the dynamics of these practices.

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Page Count

225

Publisher

Shambhala Publications

Published Date

ISBN 10

1570622752

ISBN 13

9781570622755

Book's by Zhiyi Chi

A First Course in Linear Model Theory

A First Course in Linear Model Theory

Poetry, History, Memory

Poetry, History, Memory

Statistical Implications of Turing's Formula

Statistical Implications of Turing's Formula

Dialectics of Spontaneity

Dialectics of Spontaneity

Advances in Ultrafast Optics

Advances in Ultrafast Optics

A First Course in Linear Model Theory

A First Course in Linear Model Theory

A First Course in Linear Model Theory

A First Course in Linear Model Theory

Stopping and Seeing

Stopping and Seeing

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