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Probability & Statistics - Bayesian Analysis

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Mathematical Statistics
by Leemis, Lawrence       
(Paperback - English - 9780982917466)
Mathematical Statistics describes the mathematical underpinnings associated with the practice of statistics. The pre-requisite for this book is a calculus-based course in probability. Nearly 200 figures and dozens of Monte Carlo simulation experiments in R help develop the intuition behind the statistical methods. Real-world problems from a wide range of fields help the reader apply the statistical methods. Over 300 exercises are used to reinforce concepts and make this book appropriate for classroom use. The table of contents for this book is: 1. Random Sampling2. Point Estimation3. Interval Estimation4. Hypothesis Testing ..
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Rp. 1.321.000
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Rp. 1.554.000
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Linear Models and the Relevant Distributions and Matrix Algebra
by Harville, David A.       
(Hardcover - English - 9781138578333)
strong Linear Models and the Relevant Distributions and Matrix Algebra strong provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a relatively complex setting of great practical importance. Features: ul li Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a meaningful context li li Provides thorough cove ..
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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
HARGA DISKON 8-10 FEB 2023
Rp. 3.567.000
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Rp. 4.195.000
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A Student's Guide to Bayesian Statistics
by Lambert, Ben       
(Paperback - English - 9781473916364)
Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. br br Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: ul li An introduction to probability and Bayesian in ..
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Rp. 1.476.000
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Rp. 1.736.000
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Bayesian Reasoning in Data Analysis: A Critical Introduction
by D'Agostini, Giulio       
(Hardcover - English - 9789812383563)
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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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. 3.250.000
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Rp. 3.822.000
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Bayesian Inference and Computation in Reliability and Survival Analysis
by Lio, Yuhlong    Chen, Ding-Geng    Ng, Hon Keung Tony
(Hardcover - English - 9783030886578)
Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners. Because these theoretical and technological develop ..
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Rp. 3.419.000
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Rp. 4.021.000
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Polya Urn Models
by Mahmoud, Hosam       
(Paperback - English - 9781032477794)
Incorporating a collection of recent results, Pólya Urn Models deals with discrete probability through the modern and evolving urn theory and its numerous applications. The book first substantiates the realization of distributions with urn arguments and introduces several modern tools, including exchangeability and stochastic processes via urns. It reviews classical probability problems and presents dichromatic Pólya urns as a basic discrete structure growing in discrete time. The author then embeds the discrete Pólya urn scheme in Poisson processes to achieve an equivalent view in continuous time, provides heuristical arguments to connect the Pólya process to ..
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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. 1.253.000
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Rp. 1.474.000
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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
by K, Hemachandran    Tayal, Shubham    George, Preetha Mary
(Hardcover - English - 9780367758479)
This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such as game development, decision making, and drug discovery. It is very effective for machine learning algorithms in handling missing data and extracting information from small datasets. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications uses a statistical background to understand continuous distributions and how learning can be viewed from a probabilistic framework. The chapters progress into such machine learning topics as belief network and Bayesian reinforcement learning, which is followed ..
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Rp. 3.280.000
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Rp. 3.858.000
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Handbook of Bayesian Variable Selection
by Tadesse, Mahlet G.    Vannucci, Marina   
(Hardcover - English - 9780367543761)
Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for v ..
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Rp. 4.764.000
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Rp. 5.602.000
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Time Series: Modeling, Computation, and Inference
by Prado, Raquel    West, Mike   
(Hardcover - English - 9781420093360)
Focusing on Bayesian approaches and computations using simulation-based methods for inference, strong Time Series: Modeling, Computation, and Inference strong integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling and analysis, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and emerging topics at research frontiers. The book presents overviews of several classes of models and related methodology for inference, statistical com ..
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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. 3.244.000
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Rp. 3.815.000
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Probability, Statistics, and Stochastic Processes for Engineers and Scientists
by Haghighi, Aliakbar Montazer    Wickramasinghe, Indika   
(Hardcover - English - 9780815375906)
strong 2020 Taylor & Francis Award Winner for Outstanding New Textbook! strong Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option in this field that combines these areas in one book, balances both theory and practical applications, and also keeps the practitioners in mind. Features ul li Includes numerous examples using current technologies with applications in va ..
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Rp. 4.310.000
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Rp. 5.068.000
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Bayes Theorem: The Ultimate Beginner's Guide to Bayes Theorem
by Taff, Arthur       
(Paperback - English - 9781925997583)
strong The Perfect Book for Beginners Wanting to Visually Learn About Bayes Theorem Through Real Examples strong strong What if you could quickly and easily learn Bayesian data analysis without complex textbooks and statistics classes? strong strong Imagine being able to apply your newly learned theory to real life situations strong strong Multi-time best selling IT & mathematics author strong , Arthur Taff, presents the perfect guide for any beginner. Bayesian data analysis can be difficult to learn, especially through textbooks and statistic classes at school. This book aims to solve that issue by presenting the theories in an easy-to-understand a ..
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Rp. 296.000
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Rp. 348.000
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Methodology in Robust and Nonparametric Statistics
by Jurečková, Jana    Sen, Pranab    Picek, Jan
(Paperback - English - 9780367381066)
Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. br br br br Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Statistics provides a profound mathematically rigor ..
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Rp. 1.792.000
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Rp. 2.108.000
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Principles of Uncertainty
by Kadane, Joseph B.       
(Hardcover - English - 9781138052734)
Praise for the first edition: strong Principles of Uncertainty strong is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. ... the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. ... A must-read for sure! br -Christian Robert, CHANCE It's a lovely book, one thathope will be widely adopted as a course textbook. br -Michael Jordan, University of California, Berkeley, USA Like the prize-winning first edition, Principles of Uncertainty , Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics ..
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Rp. 3.472.000
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Linear Models and the Relevant Distributions and Matrix Algebra
by Harville, David A.       
(Paperback - English - 9780367572037)
strong Linear Models and the Relevant Distributions and Matrix Algebra strong provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a relatively complex setting of great practical importance. br br br br Features: br br ul br br br br li Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a ..
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Biasanya terkirim dalam 8-14 hari kerja. Buku dikirim kurir lokal dengan nomor lacak
HARGA DISKON 8-10 FEB 2023
Rp. 1.398.000
HARGA HARI INI
Rp. 1.645.000
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Probability, Statistics, and Stochastic Processes for Engineers and Scientists
by Haghighi, Aliakbar Montazer    Wickramasinghe, Indika   
(Paperback - English - 9780367500863)
strong 2020 Taylor & Francis Award Winner for Outstanding New Textbook! strong Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option in this field that combines these areas in one book, balances both theory and practical applications, and also keeps the practitioners in mind. Features ul li Includes numerous examples using current technologies with applications in va ..
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Rp. 1.885.000
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Rp. 2.217.000
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Bayes Theorem Examples: The Beginner's Guide to Understanding Bayes Theorem and
by Styles, Logan       
(Paperback - English - 9781535194594)
Discover how to use Bayes' Theorem for real world applications like weather prediction, criminal investigation, blackjack games, and countless others Picture this... You've been feeling sick for a couple days. You have a job interview on Thursday. Today is Monday, and you want to make sure you're healthy by Thursday...but you can't afford the time or cost of seeing a doctor before then. What are the odds of being up and running by Thursday? Do they get better if you've just started a new health kick? Or do they stay the same? Or perhaps... ...you notice your good ol' dog Spike walking clumsily and think he may be going blind. However you can't take him ..
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HARGA DISKON 8-10 FEB 2023
Rp. 368.000
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Rp. 433.000
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A First Course in Bayesian Statistical Methods
by Hoff, Peter D.       
(Paperback - English - 9781441928283)
ol li A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. li li Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves. li li The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. li ol ..
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Rp. 1.310.000
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Rp. 1.540.000
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Bayesian Reasoning in Data Analysis: A Critical Introduction
by D'Agostini, Giulio       
(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. 2.008.000
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Rp. 2.361.000
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Bayesian Introduction 4e
by Lee       
(Paperback - English - 9781118332573)
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up ..
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Rp. 1.666.000
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Entendiendo Las Probabilidades Y Calculándolas: Fundamentos de la Teoría de la Probabilidad y Guía de Cálculo Para Principiantes, con Aplicaciones en
by Barboianu, Catalin    Martilotti, Rafael   
(Paperback - Spanish - 9789731991061)
La vida cotidiana est llena de situaciones que exigen tomar decisiones. Y en estos casos comparamos y hacemos estimaciones de probabilidades, a veces casi sin darnos cuenta, especialmente en el momento de decidir. Pero las probabilidades no son n meros simples asociados objetiva o subjetivamente a los eventos, como nos podr a parecer, y el c lculo y el uso que le damos est n especialmente proclives a errores cualitativos y cuantitativos, si no se maneja un conocimiento apropiado. Por ello es una necesidad que exista un libro que explique el concepto de probabilidad junto con sus interpretaciones y aplicaciones, dirigido a gente sin conocimientos profundos de ma ..
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Rp. 600.000
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Rp. 706.000
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