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Probability & Statistics - Bayesian Analysis

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A Mathematical Theory of Evidence
by Shafer, Glenn       
(Paperback - English - 9780691100425)
Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constructs a new theory of epistemic probability. The theory draws on the work of A. P. Dempster but diverges from Depster's viewpoint by identifying his "lower probabilities" as epistemic probabilities and taking his rule for combining "upper and lower probabilities" as fundamental. The book opens with a critique of the well-known Bayesian theory of epistemic probability. It then proceeds to develop an alternative to the additive set functions and the rule of conditioni ..
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An Introduction to Bayesian Analysis: Theory and Methods
by Ghosh, Jayanta K.    Delampady, Mohan    Samanta, Tapas
(Paperback - English - 9781441923035)
This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and emerging areas such as reference priors, objective Bayes testing, Bayesian model selection and wavelets. No other such book is available in the market. ..
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Bayesian Reasoning in Data Analysis: A Critical Introduction
by Agostini, Giulio D'       
(Paperback - English - 9789814447959)
This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide -- under well-defined assumptions -- with " ..
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Rp. 2.347.000
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Stationary Stochastic Processes for Scientists and Engineers
by Lindgren, Georg    Rootzen, Holger    Sandsten, Maria
(Hardcover - English - 9781466586185)
Stochastic processes are indispensable tools for development and research in signal and image processing, automatic control, oceanography, structural reliability, environmetrics, climatology, econometrics, and many other areas of science and engineering. Suitable for a one-semester course, strong Stationary Stochastic Processes for Scientists and Engineers strong teaches students how to use these processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpret ..
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Essentials of Probability Theory for Statisticians
by Proschan, Michael A.    Shaw, Pamela A.   
(Hardcover - English - 9781498704199)
strong Essentials of Probability Theory for Statisticians strong provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematica ..
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Special Order
Buku Special Order biasanya dipenuhi dalam 4-7 minggu. Tidak bisa menggabungkan buku ini dengan buku lain dalam satu order. Buku dikirim kurir lokal dengan nomor lacak
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Rp. 3.198.000
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Rp. 2.719.000
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Extreme Value Methods with Applications to Finance
by Novak, Serguei Y.       
(Hardcover - English - 9781439835746)
Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers-in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality, statisticians are eager to extract information about unknown distribution making as few assumptions as possible. strong Extreme Value Methods with Applications to Finance strong concentrates on modern topics in EVT, such as processes of exceedances, compound Poisson approximation, Poisson cluster approximation, and nonparametric estimation methods. These topics have not been ..
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Bayesian Analysis for the Social Sciences
by Jackman, Simon       
(Hardcover - English - 9780470011546)
Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS - the most-widely used Bayesian analysis software in the world ..
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Probability and Statistics with R
by Ugarte, Maria Dolores    Militino, Ana F.    Arnholt, Alan T.
(Hardcover - English - 9781466504394)
Cohesively Incorporates Statistical Theory with R Implementation Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, strong Probability and Statistics with R, Second Edition strong explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs. New to the Second Edition ul li Improvements to existing examples, problems, concepts, data, and functions li li New examples and exercises that use the most modern functions li ..
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Rp. 3.200.000
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Bayesian Analysis with Stata
by Thompson, John       
(Paperback - English - 9781597181419)
strong Bayesian Analysis with Stata strong is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS WinBUGS speed and reliability. The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the present ..
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Special Order
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Rp. 2.168.000
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Rp. 1.843.000
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Bayesian Networks Probabilisti
by Taroni, Franco    Biedermann, Alex    Bozza, Silvia
(Hardcover - English - 9780470979730)
Bayesian Networks "This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation." br Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Bayesian Networks br for Probabilistic Inference and Decision Analysis in Forensic Science Second Edition Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of infer ..
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Rp. 2.629.000
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Rp. 2.235.000
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An Elementary Introduction to the Theory of Probability
by Gnedenko, B. V.    Khinchin, A. Ya    Stahl, W. R.
(Paperback - English - 9781614276913)
2014 Reprint of 1961 Edition. Full facsimile of the original edition. Not reproduced with Optical Recognition Software. This introduction to probability theory and its applications differs from most texts in that it uses basic probability concepts to solve commonplace problems that would normally be handled by statistical methods. Numerous examples deal primarily with industrial and military problems. This book is suitable for high school levels and up. After explaining in simple terms the meaning of the concept of probability and the means by which an event is declared to be in practice, impossible, the authors take up the processes involved in the calculation ..
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Rp. 269.000
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Spatial and Spatio-Temporal Bayesian Models with R - Inla
by Cameletti, Michela    Blangiardo, Marta   
(Hardcover - English - 9781118326558)
Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio--temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly use ..
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Leadership and Women in Statistics
by Golbeck, Amanda L.    Olkin, Ingram    Gel, Yulia R.
(Hardcover - English - 9781482236446)
strong Learn How to Infuse Leadership into Your Passion for Scientific Research strong strong Leadership and Women in Statistics strong explores the role of statisticians as leaders, with particular attention to women statisticians as leaders. By paying special attention to women's issues, this book provides a clear vision for the future of women as leaders in scientific and technical fields. It also shows how emerging and current leaders of both genders in many disciplines can expand their leadership potentials. Featuring contributions from leadership experts and statisticians at various career stages, this unique and insightful text: ul li Examine ..
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Nonparametric Statistics: Theory and Methods
by Deshpande, Jayant V.    Naik-Nimbalkar, Uttara    Dewan, Isha
(Hardcover - English - 9789814663571)
The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts applications reference books on Nonparametric Methodology. This book will introduce various types of data encountered in practice and suggest the appropriate nonparametric methods, discuss their properties through null and non-null distributions whenever possible and demonstrate the very mi ..
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Rp. 2.214.000
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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition
by Gamerman, Dani    Lopes, Hedibert F.   
(Hardcover - English - 9781584885870)
While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new applications, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. The second edition includes access to an internet site that provides the code, written in R and WinBUGS, used in many of the previously existing and new example ..
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Probability and Statistics: 5 Questions
by Hajek, Alan    Hendricks, Vincent F.   
(Paperback - English - 9788792130051)
Probability and Statistics: 5 Questions is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in probability and statistics. We hear their views on the fields, aims, scopes, the future direction of research and how their work fits in these respects. Interviews with Nick Bingham, Luc Bovens, Terrence L. Fine, Haim Gaifman, Donald Gillies, James Hawthorne, Carl Hoefer, James M. Joyce, Joseph B. Kadane Isaac Levi, D.H. Mellor, Patrick Suppes, Jan von Plato, Carl Wagner, Sandy Zabell. ..
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Rp. 725.000
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Bayesian Theory
by Bernardo, José M.    Smith, Adrian F. M.   
(Hardcover - English - 9780471924166)
This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics use ..
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Rp. 11.065.000
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Rp. 9.409.000
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Probability, Random Processes, and Statistical Analysis
by Kobayashi, Hisashi    Mark, Brian L.    Turin, William
(Hardcover - English - 9780521895446)
Together with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and It process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum-Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, queueing and loss networks, and are treated in detail. The book will ..
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Stationary Stochastic Processes: Theory and Applications
by Lindgren, Georg       
(Hardcover - English - 9781466557796)
Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field's widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for stationary processes and fields, including a portion on stationary point processes. Features ul li Presents and illustrates the fundamental correlation and spectral methods for stochastic processes and random fields li li Explains how the basic theory is used in special applications like detection theory and signal processing, spatial statistics, and reliability ..
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Rp. 2.957.000
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