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Proceedings Of The First Us Japan Conference On The Frontiers Of Statistical Modeling An Informational Approach Engineering And Scientific Applications
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Book Synopsis Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by : H. Bozdogan
Download or read book Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach written by H. Bozdogan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems. Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. Volume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications. For all scientists whose work involves statistics.
Book Synopsis Statistical Data Mining and Knowledge Discovery by : Hamparsum Bozdogan
Download or read book Statistical Data Mining and Knowledge Discovery written by Hamparsum Bozdogan and published by CRC Press. This book was released on 2003-07-29 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approache
Book Synopsis Model Selection and Multimodel Inference by : Kenneth P. Burnham
Download or read book Model Selection and Multimodel Inference written by Kenneth P. Burnham and published by Springer Science & Business Media. This book was released on 2007-05-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.
Book Synopsis Model Based Inference in the Life Sciences by : David R. Anderson
Download or read book Model Based Inference in the Life Sciences written by David R. Anderson and published by Springer Science & Business Media. This book was released on 2007-12-22 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.
Book Synopsis Model Selection and Inference by : Kenneth P. Burnham
Download or read book Model Selection and Inference written by Kenneth P. Burnham and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statisticians and applied scientists must often select a model to fit empirical data. This book discusses the philosophy and strategy of selecting such a model using the information theory approach pioneered by Hirotugu Akaike. This approach focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. The book includes practical applications in biology and environmental science.
Book Synopsis Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by : H. Bozdogan
Download or read book Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach written by H. Bozdogan and published by Springer. This book was released on 2012-10-12 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems. Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. Volume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications. For all scientists whose work involves statistics.
Book Synopsis Large Sample Techniques for Statistics by : Jiming Jiang
Download or read book Large Sample Techniques for Statistics written by Jiming Jiang and published by Springer Nature. This book was released on 2022-04-04 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways. The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansion, different types of convergence, and inequalities. The next five chapters discuss limit theorems in specific situations of observational data. Each of the first ten chapters contains at least one section of case study. The last six chapters are devoted to special areas of applications. This new edition introduces a final chapter dedicated to random matrix theory, as well as expanded treatment of inequalities and mixed effects models. The book's case studies and applications-oriented chapters demonstrate how to use methods developed from large sample theory in real world situations. The book is supplemented by a large number of exercises, giving readers opportunity to practice what they have learned. Appendices provide context for matrix algebra and mathematical statistics. The Second Edition seeks to address new challenges in data science. This text is intended for a wide audience, ranging from senior undergraduate students to researchers with doctorates. A first course in mathematical statistics and a course in calculus are prerequisites..
Book Synopsis Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach by : H. Bozdogan
Download or read book Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach written by H. Bozdogan and published by Springer. This book was released on 1993-12-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems. Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. Volume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications. For all scientists whose work involves statistics.
Book Synopsis Selected Papers of Hirotugu Akaike by : Emanuel Parzen
Download or read book Selected Papers of Hirotugu Akaike written by Emanuel Parzen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper "A new look at the statistical model identification" (IEEE Trans Automatic Control, AC-19, 716-723) is one of the most frequently cited papers in the area of engineering, technology, and applied sciences (according to a 1981 Citation Classic of the Institute of Scientific Information). It introduced the broad scientific community to model identification using the methods of Akaike's criterion AIC. The AIC method is cited and applied in almost every area of physical and social science. The best way to learn about the seminal ideas of pioneering researchers is to read their original papers. This book reprints 29 papers of Akaike's more than 140 papers. This book of papers by Akaike is a tribute to his outstanding career and a service to provide students and researchers with access to Akaike's innovative and influential ideas and applications. To provide a commentary on the career of Akaike, the motivations of his ideas, and his many remarkable honors and prizes, this book reprints "A Conversation with Hirotugu Akaike" by David F. Findley and Emanuel Parzen, published in 1995 in the journal Statistical Science. This survey of Akaike's career provides each of us with a role model for how to have an impact on society by stimulating applied researchers to implement new statistical methods.
Book Synopsis Methodology and Tacit Knowledge by : Jan R. Magnus
Download or read book Methodology and Tacit Knowledge written by Jan R. Magnus and published by John Wiley & Sons. This book was released on 1999-05-04 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two experiments reported in this book are designed to help understand and assess the competing methodologies of econometrics and the tacit knowledge content of the discipline. The book contains a number of applied econometrics papers, all written by professional econometricians, each of which uses the same data set and tries to answer the same questions, but each uses different techniques and provides different answers. In addition, the book contains analyses and comparative assessments of these papers. The data are described in detail, and are freely available on the Internet.
Book Synopsis Stochastic Dynamics, Filtering and Optimization by : Debasish Roy
Download or read book Stochastic Dynamics, Filtering and Optimization written by Debasish Roy and published by Cambridge University Press. This book was released on 2017-05-04 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: Targeted at graduate students, researchers and practitioners in the field of science and engineering, this book gives a self-contained introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes. It then continues to weave into a framework of several practical tools and applications involving stochastic dynamical systems. These include tools for the numerical integration of such dynamical systems, nonlinear stochastic filtering and generalized Bayesian update theories for solving inverse problems and a new stochastic search technique for treating a broad class of non-convex optimization problems. MATLAB® codes for all the applications are uploaded on the companion website.
Book Synopsis Advances in Minimum Description Length by : Peter D. Grünwald
Download or read book Advances in Minimum Description Length written by Peter D. Grünwald and published by MIT Press. This book was released on 2005 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology.
Book Synopsis Selective Guide to Literature on Statistical Information for Engineers by :
Download or read book Selective Guide to Literature on Statistical Information for Engineers written by and published by . This book was released on 1997 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essays Over Kwantitatieve Marketing Modellen en Monte Carlo Integratie Methoden by : Rutger van Oest
Download or read book Essays Over Kwantitatieve Marketing Modellen en Monte Carlo Integratie Methoden written by Rutger van Oest and published by Rozenberg Publishers. This book was released on 2005 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Fence Methods written by Jiming Jiang and published by World Scientific. This book was released on 2015-09-22 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations. The idea involves a procedure to isolate a subgroup of what are known as correct models, of which the optimal model is a member. This is accomplished by constructing a statistical fence, or barrier, to carefully eliminate incorrect models. Once the fence is constructed, the optimal model is selected from amongst those within the fence according to a criterion which can be made flexible. In particular, the criterion of optimality can incorporate consideration of practical interest, thus making model selection a real life practice.Furthermore, this book introduces a data-driven approach, called adaptive fence, which can be used in a wide range of problems involving determination of tuning parameters, or constants. Instead of relying on asymptotic theory, the fence focuses on finite-sample performance, and computation. Such features are particularly suitable to statistics in the new era.
Book Synopsis Constrained Principal Component Analysis and Related Techniques by : Yoshio Takane
Download or read book Constrained Principal Component Analysis and Related Techniques written by Yoshio Takane and published by CRC Press. This book was released on 2016-04-19 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? Wha
Download or read book Mathematical Reviews written by and published by . This book was released on 1995 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt:
