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Priors
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Book Synopsis Probability Matching Priors: Higher Order Asymptotics by : Gauri Sankar Datta
Download or read book Probability Matching Priors: Higher Order Asymptotics written by Gauri Sankar Datta and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on the topic of probability matching priors. It targets researchers, Bayesian and frequentist; graduate students in Statistics.
Book Synopsis System Priors for Econometric Time Series by : Michal Andrle
Download or read book System Priors for Econometric Time Series written by Michal Andrle and published by International Monetary Fund. This book was released on 2016-11-17 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paper introduces “system priors”, their use in Bayesian analysis of econometric time series, and provides a simple and illustrative application. System priors were devised by Andrle and Benes (2013) as a tool to incorporate prior knowledge into an economic model. Unlike priors about individual parameters, system priors offer a simple and efficient way of formulating well-defined and economically-meaningful priors about high-level model properties. The generality of system priors are illustrated using an AR(2) process with a prior that most of its dynamics comes from business-cycle frequencies.
Download or read book System Priors written by Michal Andrle and published by International Monetary Fund. This book was released on 2013-12-19 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a novel way of formulating priors for estimating economic models. System priors are priors about the model's features and behavior as a system, such as the sacrifice ratio or the maximum duration of response of inflation to a particular shock, for instance. System priors represent a very transparent and economically meaningful way of formulating priors about parameters, without the unintended consequences of independent priors about individual parameters. System priors may complement or also substitute for independent marginal priors. The new philosophy of formulating priors is motivated, explained and illustrated using a structural model for monetary policy.
Download or read book In Prior's Wood written by G. M. Malliet and published by Minotaur Books. This book was released on 2018-04-17 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: “G. M. Malliet has crafted the English village of our dreams.” —Charlaine Harris Agatha Award-winning author G. M. Malliet has charmed mystery lovers and cozy fans with her critically acclaimed mysteries. In Prior's Wood, featuring handsome spy-turned-cleric Max Tudor, won’t disappoint. Newly returned from investigating a murder in Monkslip-super-Mare, handsome Max Tudor wants nothing more than to settle back into his predictable routine as vicar of St. Edwold’s Church in the village of Nether Monkslip. But the flow of his sermon on Bathsheba is interrupted when the lady of the local manor house is found in a suicide pact with her young lover. Lady Duxter’s husband rallies quickly from the double tragedy—too quickly, it is murmured in the village. Lord Duxter already has offered his manor house to a motley crew of writers, including Max’s wife Awena, for his writers’ retreat, and he insists the show must go on. When a young girl goes missing and a crime writer becomes a target, DCI Cotton asks Max to lend his MI5 expertise to the investigation. Many suspects emerge as the scope of the investigation widens beyond the writers to villagers who had crossed swords with the insufferably smug crime author. But Max begins to wonder: was the attack on the writer only part of a broader conspiracy of silence?
Book Synopsis Smoothness Priors Analysis of Time Series by : Genshiro Kitagawa
Download or read book Smoothness Priors Analysis of Time Series written by Genshiro Kitagawa and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smoothness Priors Analysis of Time Series addresses some of the problems of modeling stationary and nonstationary time series primarily from a Bayesian stochastic regression "smoothness priors" state space point of view. Prior distributions on model coefficients are parametrized by hyperparameters. Maximizing the likelihood of a small number of hyperparameters permits the robust modeling of a time series with relatively complex structure and a very large number of implicitly inferred parameters. The critical statistical ideas in smoothness priors are the likelihood of the Bayesian model and the use of likelihood as a measure of the goodness of fit of the model. The emphasis is on a general state space approach in which the recursive conditional distributions for prediction, filtering, and smoothing are realized using a variety of nonstandard methods including numerical integration, a Gaussian mixture distribution-two filter smoothing formula, and a Monte Carlo "particle-path tracing" method in which the distributions are approximated by many realizations. The methods are applicable for modeling time series with complex structures.
Book Synopsis Composite NUV Priors and Applications by : Raphael Urs Keusch
Download or read book Composite NUV Priors and Applications written by Raphael Urs Keusch and published by BoD – Books on Demand. This book was released on 2022-08-19 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Normal with unknown variance (NUV) priors are a central idea of sparse Bayesian learning and allow variational representations of non-Gaussian priors. More specifically, such variational representations can be seen as parameterized Gaussians, wherein the parameters are generally unknown. The advantage is apparent: for fixed parameters, NUV priors are Gaussian, and hence computationally compatible with Gaussian models. Moreover, working with (linear-)Gaussian models is particularly attractive since the Gaussian distribution is closed under affine transformations, marginalization, and conditioning. Interestingly, the variational representation proves to be rather universal than restrictive: many common sparsity-promoting priors (among them, in particular, the Laplace prior) can be represented in this manner. In estimation problems, parameters or variables of the underlying model are often subject to constraints (e.g., discrete-level constraints). Such constraints cannot adequately be represented by linear-Gaussian models and generally require special treatment. To handle such constraints within a linear-Gaussian setting, we extend the idea of NUV priors beyond its original use for sparsity. In particular, we study compositions of existing NUV priors, referred to as composite NUV priors, and show that many commonly used model constraints can be represented in this way.
Book Synopsis Festival in Prior's Ford by : Evelyn Hood
Download or read book Festival in Prior's Ford written by Evelyn Hood and published by Severn House Publishers Ltd. This book was released on 2014-04-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: When Tricia and Derek Borland bring home their baby daughter, their elderly neighbours are more than willing to help the new mother. But their enthusiasm begins to wane when it becomes apparent that Tricia is more interested in going out with her friends than looking after her new baby - and is only too ready to take advantage of their kindness. Meanwhile, Lewis Ralston-Kerr and his fiancé Ginny are horrified by Ginny's flamboyant mother's determination to sweep aside their desire for a small village wedding and organise a large society affair. What's more, the Prior's Ford Progress Committee have decided that the traditional village summer festival needs pepping up this year ...
Book Synopsis Away with the Penguins by : Hazel PRIOR
Download or read book Away with the Penguins written by Hazel PRIOR and published by Bantam Press. This book was released on 2020-03-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Veronica McCreedy is about to have the journey of a lifetime . . . Veronica McCreedy lives in a mansion by the sea. She loves a nice cup of Darjeeling tea whilst watching a good wildlife documentary. And she's never seen without her ruby-red lipstick. Although these days Veronica is rarely seen by anyone because, at 85, her days are spent mostly at home, alone. She can be found either collecting litter from the beach ('people who litter the countryside should be shot'), trying to locate her glasses ('someone must have moved them') or shouting instructions to her assistant, Eileen ('Eileen, door!'). Veronica doesn't have family or friends nearby. Not that she knows about, anyway . . . And she has no idea where she's going to leave her considerable wealth when she dies. But today . . . today Veronica is going to make a decision that will change all of this. Readers love Hazel Prior! 'Oh I so adored this beautiful, unique book!' 'A complete pleasure from start to finish.' 'A touching, absorbing and uplifting story.' 'Tender, heartwarming and sensitively written.'
Book Synopsis Probability and Statistics by : Cain Mckay
Download or read book Probability and Statistics written by Cain Mckay and published by Scientific e-Resources. This book was released on 2019-01-30 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Joseph J.K. O Ruanaidh Publisher :Springer Science & Business Media ISBN 13 :1461207177 Total Pages :256 pages Book Rating :4.4/5 (612 download)
Book Synopsis Numerical Bayesian Methods Applied to Signal Processing by : Joseph J.K. O Ruanaidh
Download or read book Numerical Bayesian Methods Applied to Signal Processing written by Joseph J.K. O Ruanaidh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been in existence for decades and has extensive applications to the fields of speech and data communications, biomedical engineering, acous tics, sonar, radar, seismology, oil exploration, instrumentation and audio signal processing to name but a few [87]. The term "Digital Signal Processing", in its broadest sense, could apply to any operation carried out on a finite set of measurements for whatever purpose. A book on signal processing would usually contain detailed de scriptions of the standard mathematical machinery often used to describe signals. It would also motivate an approach to real world problems based on concepts and results developed in linear systems theory, that make use of some rather interesting properties of the time and frequency domain representations of signals. While this book assumes some familiarity with traditional methods the emphasis is altogether quite different. The aim is to describe general methods for carrying out optimal signal processing.
Book Synopsis Bayesian Survival Analysis by : Joseph G. Ibrahim
Download or read book Bayesian Survival Analysis written by Joseph G. Ibrahim and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.
Book Synopsis Age, Period and Cohort Effects by : Andrew Bell
Download or read book Age, Period and Cohort Effects written by Andrew Bell and published by Routledge. This book was released on 2020-11-05 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem gives a number of perspectives from top methodologists and applied researchers on the best ways to attempt to answer Age–Period–Cohort related questions about society. Age–Period–Cohort (APC) analysis is a fundamental topic for any quantitative social scientist studying individuals over time. At the same time, it is also one of the most misunderstood and underestimated topics in quantitative methods. As such, this book is key reference material for researchers wanting to know how to deal with APC issues appropriately in their statistical modelling. It deals with the identification problem caused by the co-linearity of the three variables, considers why some currently used methods are problematic and suggests ideas for what applied researchers interested in APC analysis should do. Whilst the perspectives are varied, the book provides a unified view of the subject in a reader-friendly way that will be accessible to social scientists with a moderate level of quantitative understanding, across the social and health sciences.
Book Synopsis Organization Design by : John Joseph
Download or read book Organization Design written by John Joseph and published by Emerald Group Publishing. This book was released on 2018-12-10 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Strategic Management is dedicated to communicating innovative, new research that advances theory and practice in Strategic Management. This volume focuses on organization design and collaborative ways of working.
Book Synopsis Finite Mixture Models by : Geoffrey McLachlan
Download or read book Finite Mixture Models written by Geoffrey McLachlan and published by John Wiley & Sons. This book was released on 2004-03-22 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date, comprehensive account of major issues in finitemixture modeling This volume provides an up-to-date account of the theory andapplications of modeling via finite mixture distributions. With anemphasis on the applications of mixture models in both mainstreamanalysis and other areas such as unsupervised pattern recognition,speech recognition, and medical imaging, the book describes theformulations of the finite mixture approach, details itsmethodology, discusses aspects of its implementation, andillustrates its application in many common statisticalcontexts. Major issues discussed in this book include identifiabilityproblems, actual fitting of finite mixtures through use of the EMalgorithm, properties of the maximum likelihood estimators soobtained, assessment of the number of components to be used in themixture, and the applicability of asymptotic theory in providing abasis for the solutions to some of these problems. The author alsoconsiders how the EM algorithm can be scaled to handle the fittingof mixture models to very large databases, as in data miningapplications. This comprehensive, practical guide: * Provides more than 800 references-40% published since 1995 * Includes an appendix listing available mixture software * Links statistical literature with machine learning and patternrecognition literature * Contains more than 100 helpful graphs, charts, and tables Finite Mixture Models is an important resource for both applied andtheoretical statisticians as well as for researchers in the manyareas in which finite mixture models can be used to analyze data.
Book Synopsis Bayesian Multilevel Models for Repeated Measures Data by : Santiago Barreda
Download or read book Bayesian Multilevel Models for Repeated Measures Data written by Santiago Barreda and published by Taylor & Francis. This book was released on 2023-05-18 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated measures data, the focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book. In this book, the authors offer an introduction to statistics entirely focused on repeated measures data beginning with very simple two-group comparisons and ending with multinomial regression models with many ‘random effects’. Across 13 well-structured chapters, readers are provided with all the code necessary to run all the analyses and make all the plots in the book, as well as useful examples of how to interpret and write up their own analyses. This book provides an accessible introduction for readers in any field, with any level of statistical background. Senior undergraduate students, graduate students, and experienced researchers looking to ‘translate’ their skills with more traditional models to a Bayesian framework will benefit greatly from the lessons in this text.
Book Synopsis Handbook of Environmental and Ecological Statistics by : Alan E. Gelfand
Download or read book Handbook of Environmental and Ecological Statistics written by Alan E. Gelfand and published by CRC Press. This book was released on 2019-01-15 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Book Synopsis Patrons and Adversaries by : Caroline Castiglione
Download or read book Patrons and Adversaries written by Caroline Castiglione and published by . This book was released on 2005 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Four generations of the aristocratic Barberini family and its "vassals", clashed over how the early modern Roman countryside should be governed. Villagers sometimes cultivated noble interference, but they frequently resisted it through the strategies of adversarial literacy, political ways of reading and writing that challenged noble hegemony in the village.
