This book contains three lectures each of 10 sessions; the first on Potential Theory on graphs and manifolds, the second on annealing and another algorithms for image reconstruction, the third on Malliavin Calculus.
In-depth Level II exam preparation direct from the CAIA Association CAIA Level II is the official study guide for the Chartered Alternative Investment Analyst professional examination, and an authoritative guide to working in the alternative investment sphere. Written by the makers of the exam, this book provides in-depth guidance through the entire exam agenda; the Level II strategies are the same as Level I, but this time you'll review them through the lens of risk management and portfolio optimisation. Topics include asset allocation and portfolio oversight, style analysis, risk management, alternative asset securitisation, secondary market creation, performance and style attribution and indexing and benchmarking, with clear organisation and a logical progression that allows you to customise your preparation focus. This new third edition has been updated to align with the latest exam, and to reflect the current practices in the field. The CAIA designation was developed to provide a standardized knowledge base in the midst of explosive capital inflow into alternative investments. This book provides a single-source repository of that essential information, tailored to those preparing for the Level II exam. Measure, monitor and manage funds from a risk management perspective Delve into advanced portfolio structures and optimisation strategies Master the nuances of private equity, real assets, commodities and hedge funds Gain expert insight into preparing thoroughly for the CAIA Level II exam The CAIA Charter programme is rigorous and comprehensive, and the designation is globally recognised as the highest standard in alternative investment education. Candidates seeking thorough preparation and detailed explanations of all aspects of alternative investment need look no further than CAIA Level II.
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collection Bayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.
This work provides descriptions, explanations and examples of the Bayesian approach to statistics, demonstrating the utility of Bayesian methods for analyzing real-world problems in the health sciences. The work considers the individual components of Bayesian analysis.;College or university bookstores may order five or more copies at a special student price, available on request from Marcel Dekker, Inc.
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.
In an informal style replete with illustrations, Hoffman presents the compelling scientific evidence for vision's constructive powers unveiling a grammar of vision--a set of rules that govern our perception of line, color, form, depth, and motion. 150 illustrations, 20 in color.
An avid bicyclist, Rosser has cycled extensively in Europe with the Lafayette Riders, a club of French and American cyclists. In his age group, he was a New Jersey State champion for the three years that he indulged in top-level competition. He has three daughters, five grandchildren, and two great-grandchildren. Rosser published a collection of his early columns in 2012 in a book titled A Collection of Stuff. He now lives in Holiday Village, a retirement community in Mount Laurel, New Jersey, and writes for the village newspaper.
CONTENTS: D.D. Dawson: Measure-valued Markov Processes.- B. Maisonneuve: Processus de Markov: Naissance, Retournement, Regeneration.- J. Spencer: Nine lectures on Random Graphs.
The definitive bible for the field of biomedical engineering, this collection of volumes is a major reference for all practicing biomedical engineers and students. Now in its fourth edition, this work presents a substantial revision, with all sections updated to offer the latest research findings. New sections address drugs and devices, personalized medicine, and stem cell engineering. Also included is a historical overview as well as a special section on medical ethics. This set provides complete coverage of biomedical engineering fundamentals, medical devices and systems, computer applications in medicine, and molecular engineering.
Outlines an approach to high-performance problem solving and decision making that draws on insights from survival guides, pop culture, and other sources.
Ogle Gowan - the Irish upstart who turned Ontario Orange - was a self-seeking, treacherous scoundrel who brought his tattered reputation to the raw frontier of Upper Canada, and built the powerful Protestant machine that shaped Canadian history for more than one hundred years. Ogle Gowan was a bastard, a bigot and a brawler, yet his silver-tongued oratory and ruthless political skills made him more than a match for his enemies. Whether crossing swords with the fiery William Lyon Mackenzie or pub-crawling with the young John A. Macdonald he remained, always, slightly larger than life. Don Akenson draws on his talents as both an historian and a novelist to bring the brutal politics of nineteenth-century Ireland and Canada to unforgettable life. In The Orangeman he gives us an extraordinary portrait of a political parvenu whose behaviour was a scandal in his own time, and who left an indelible mark on Canadian history.
Translated and Annotated by William F. Sinclair, Bombay Civil Service (Retd.), with Further Notes and an Introduction by Donald Ferguson. The main text is a translation of: Relaciones de Pedro Teixeira d'el origen descendencia y svccession de los reyes de Persia, y de Harmuz, y de vn viage hecho por el mismo avtor dende la India Oriental hasta Italia por tierra. Amberes, 1610. Appendices: A, A short narrative of the origin of the kingdom of Harmuz and of its kings. B, Extracts from the Relation of the kings of Persia. C, A short account of the most notable provinces ... of Persia. D, Relation of the chronicle of the kings of Ormuz. Includes bibliographical references and index. This is a new print-on-demand hardback edition of the volume first published in 1902.
This highly visual, brief survey of Western civilization provides an exceptionally balanced survey of the political, social, and cultural development of Western civilization—its strengths and weaknesses, and the controversies surrounding it.From 1650 to the present, this volume provides a broad survey of western civilization.For those interested in a lively account of western heritage.
It is no coincidence that Donald Robertson, known as @drawbertson to his hundreds of thousands of followers on social media, has become the fashion world’s favorite art bomber of the Instagram era.
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