{"title":"Bayesian Analysis","description":"\u003cp\u003eBayesian analysis addresses the fundamental question of how to update beliefs and predictions as new data becomes available. Unlike classical statistical methods, it uses probability distributions to describe uncertainty about parameters, making it central to fields where adaptive learning from information is crucial. This category spans both the foundational theory of Bayesian inference and practical methods for its implementation.\u003c\/p\u003e\u003cp\u003eReaders may distinguish Bayesian analysis from other approaches in probability and statistics by focusing on topics such as prior and posterior distributions, Markov Chain Monte Carlo techniques, and model selection under uncertainty. To refine your understanding, you might compare Bayesian concepts with frequentist methods or explore how Bayesian thinking applies to topics in data science, machine learning, or decision analysis.\u003c\/p\u003e","products":[{"product_id":"statistical-data-fusion-9789813200180-new","title":"Statistical Data Fusion","description":"\u003cp\u003eThis book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.\u003c\/p\u003e\u003cp\u003eThe book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.\u003c\/p\u003e","brand":"WORLD SCIENTIFIC PUB CO INC","offers":[{"title":"New","offer_id":51543262134562,"sku":"9789813200180-new","price":103.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9789813200180.jpg?v=1776374973"},{"product_id":"nonparametric-statistics-theory-methods-9789814663571-new","title":"Nonparametric Statistics: Theory and Methods","description":"\u003cp\u003eThe number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc.\u003c\/p\u003e\u003cp\u003eBecause 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.\u003c\/p\u003e\u003cp\u003eThis 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 minor loss in power and efficiency in the nonparametric method, if any.\u003c\/p\u003e\u003cp\u003eThe book will cover almost all topics of current interest such as bootstrapping, ranked set sampling, techniques for censored data and Bayesian analysis under nonparametric set ups.\u003c\/p\u003e","brand":"WORLD SCIENTIFIC PUB CO INC","offers":[{"title":"New","offer_id":51543634805026,"sku":"9789814663571-new","price":107.21,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9789814663571.jpg?v=1776387503"},{"product_id":"bayesian-reasoning-data-analysis-9789814447959-new","title":"Bayesian Reasoning in Data Analysis","description":"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 \"standard\" methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.","brand":"WORLD SCIENTIFIC PUB CO INC","offers":[{"title":"New","offer_id":51543678812450,"sku":"9789814447959-new","price":92.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9789814447959.jpg?v=1776389223"},{"product_id":"statistical-paradigms-9789814343954-new","title":"Statistical Paradigms","description":"This volume consists of a collection of research articles on classical and emerging Statistical Paradigms -- parametric, non-parametric and semi-parametric, frequentist and Bayesian -- encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.","brand":"WORLD SCIENTIFIC PUB CO INC","offers":[{"title":"New","offer_id":51543711187234,"sku":"9789814343954-new","price":116.57,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9789814343954.jpg?v=1776390254"},{"product_id":"bayesian-networks-fault-diagnosis-9789813271487-new","title":"Bayesian Networks in Fault Diagnosis","description":"\u003cp\u003eFault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis.\u003c\/p\u003e\u003cp\u003eThis unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases.\u003c\/p\u003e\u003cp\u003eResearchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system.\u003c\/p\u003e","brand":"WORLD SCIENTIFIC PUB CO INC","offers":[{"title":"New","offer_id":51543881842978,"sku":"9789813271487-new","price":160.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9789813271487.jpg?v=1776393427"},{"product_id":"nonlinear-mixture-models-9781848167568-new","title":"Nonlinear Mixture Models","description":"\u003cp\u003e \u003c\/p\u003e\u003cp\u003eThis book, \u003cstrong\u003ewritten by two mathematicians from the University of Southern California\u003c\/strong\u003e, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate students and as a reference for independent researchers. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to go further into the subject and explore the research literature.\u003c\/p\u003e\u003cp\u003eIn this book the authors present Bayesian methods of analysis for nonlinear, hierarchical mixture models, with a finite, but possibly unknown, number of components. These methods are then applied to various problems including population pharmacokinetics and gene expression analysis. In population pharmacokinetics, the nonlinear mixture model, based on previous clinical data, becomes the prior distribution for individual therapy. For gene expression data, one application included in the book is to determine which genes should be associated with the same component of the mixture (also known as a clustering problem). The book also contains examples of computer programs written in BUGS. This is the first book of its kind to cover many of the topics in this field.\u003c\/p\u003e","brand":"IMPERIAL COLLEGE PR","offers":[{"title":"New","offer_id":51545610092834,"sku":"9781848167568-new","price":113.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9781848167568.jpg?v=1776425827"}],"url":"https:\/\/www.albakireads.com\/collections\/mathematics-probability-statistics-bayesian-analysis.oembed","provider":"AlbakiReads","version":"1.0","type":"link"}