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Author : J. Grandell
Publisher : Springer
ISBN 13 : 3540382585
Total Pages : 244 pages
Book Rating : 4.5/5 (43 download)
Download or read book Doubly Stochastic Poisson Processes written by J. Grandell and published by Springer. This book was released on 2006-11-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jan Grandell
Publisher :
ISBN 13 : 9780387077956
Total Pages : 140 pages
Book Rating : 4.0/5 (779 download)
Download or read book Weil's Representation and the Spectrum of the Metaplectic Group written by Jan Grandell and published by . This book was released on 1976 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Günter Last
Publisher :
ISBN 13 :
Total Pages : 26 pages
Book Rating : 4.:/5 (461 download)
Download or read book State dependent thinning of doubly stochastic poisson processes written by Günter Last and published by . This book was released on 1988 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Vinaykumar K. Ingle
Publisher :
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4.:/5 (115 download)
Download or read book Recursive Estimation of Doubly Stochastic Poisson Processes with Application to Low Photon Imaging written by Vinaykumar K. Ingle and published by . This book was released on 1981 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Anders Tolver Jensen
Publisher :
ISBN 13 :
Total Pages : 132 pages
Book Rating : 4.:/5 (115 download)
Download or read book Statistical Inference for Doubly Stochastic Poisson Processes written by Anders Tolver Jensen and published by . This book was released on 2005 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John G. Romanski
Publisher :
ISBN 13 :
Total Pages : 368 pages
Book Rating : 4.:/5 (37 download)
Download or read book The Application of Doubly Stochastic Poisson Process Estimation Techniques to Optical Communication Through Log-normal Fading Channels written by John G. Romanski and published by . This book was released on 1976 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mario Lefebvre
Publisher : Springer Science & Business Media
ISBN 13 : 0387489762
Total Pages : 395 pages
Book Rating : 4.3/5 (874 download)
Download or read book Applied Stochastic Processes written by Mario Lefebvre and published by Springer Science & Business Media. This book was released on 2007-12-14 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory. The book also examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes. It contains numerous examples and approximately 350 advanced problems that reinforce both concepts and applications. Entertaining mini-biographies of mathematicians give an enriching historical context. The book includes statistical tables and solutions to the even-numbered problems at the end.
Author : Kuang-Hua Daphne Chou
Publisher :
ISBN 13 :
Total Pages : 354 pages
Book Rating : 4.3/5 (121 download)
Download or read book Nonparametric Estimation of the Generating Function of the Intensity Function Process of a Doubly Stochastic Poisson Process written by Kuang-Hua Daphne Chou and published by . This book was released on 2002 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tingting Zhang
Publisher :
ISBN 13 :
Total Pages : 234 pages
Book Rating : 4.:/5 (34 download)
Download or read book Nonparametric Studies of Doubly Stochastic Poisson Processes, Binomial Data, and High Dimension, Low Sample Size Data written by Tingting Zhang and published by . This book was released on 2008 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: We illustrate through examples that those nonparametric Bayes estimates based on the Bernstein-Dirichlet process are more robust to sample variation and tend to have smaller estimation errors than those based on the Dirichlet process. In certain settings, the new estimators can even outperform Stein's estimator and Efron and Morris's limited translation estimator. Chapter 3 examines the asymptotic behavior of the correlation pursuit stepwise variable selection procedure that has been proposed recently by (Zhong et al ., 2008). More specifically, we analyze the asymptotic distribution of the test statistics under the null hypothesis of no effect for selected predictors and the power of the test under the alternative hypothesis. We also compare the new procedure with the classical linear regression algorithm for linear models, and discuss the possibility of generalizing the method to multiple index models.
Author : Columbia University. Department of Mathematics
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (212 download)
Download or read book The Use of Doubly Stochastic Poisson Processes in Estimating Health Effects Due to Air Pollution written by Columbia University. Department of Mathematics and published by . This book was released on 1977 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Günter Last
Publisher : Cambridge University Press
ISBN 13 : 1107088011
Total Pages : 315 pages
Book Rating : 4.1/5 (7 download)
Download or read book Lectures on the Poisson Process written by Günter Last and published by Cambridge University Press. This book was released on 2017-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern introduction to the Poisson process, with general point processes and random measures, and applications to stochastic geometry.
Author : Roy L. Streit
Publisher : Springer Science & Business Media
ISBN 13 : 1441969233
Total Pages : 274 pages
Book Rating : 4.4/5 (419 download)
Download or read book Poisson Point Processes written by Roy L. Streit and published by Springer Science & Business Media. This book was released on 2010-09-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and applications ranging from emission and transmission computed tomography to multiple target tracking and distributed sensor detection, written from an engineering perspective. A valuable discussion of the basic properties of finite random sets is included. Maximum likelihood estimation techniques are discussed for several parametric forms of the intensity function, including Gaussian sums, together with their Cramer-Rao bounds. These methods are then used to investigate: -Several medical imaging techniques, including positron emission tomography (PET), single photon emission computed tomography (SPECT), and transmission tomography (CT scans) -Various multi-target and multi-sensor tracking applications, -Practical applications in areas like distributed sensing and detection, -Related finite point processes such as marked processes, hard core processes, cluster processes, and doubly stochastic processes, Perfect for researchers, engineers and graduate students working in electrical engineering and computer science, Poisson Point Processes will prove to be an extremely valuable volume for those seeking insight into the nature of these processes and their diverse applications.
Author : Robert B. Asher
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.:/5 (227 download)
Download or read book Adaptive Estimation of Doubly Stochastic Poisson Processes with Application to Adaptive Optics written by Robert B. Asher and published by . This book was released on 1976 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: The optimal adaptive estimator structures for a class of doubly stochastic Poisson processes (DSPP) are presented. The structure is used along with a moment assumption to obtain implementable estimators. The class of DSPP considered is that of a linear Markov diffusion process modulating a linear intensity rate. The uncertainty for which the adaptation process is developed includes both structure uncertainty in the Markov diffusion process, and parameter uncertainty in the Markov diffusion process and the intensity rate process. Results are given on the problem of adaptation of which of a finite number of Markov realizations is modulating the intensity process. The nonlinear adaptive estimator structures are obtained by use of a particular theorem that yields an optimal structure for the adaptive estimator. The structure is used to obtain a quasi-optimal adaptive estimator for the problem by use of a zero third central moment assumption. The estimator structure consists of a nonlinear, nonadaptive part, and a nonlinear, adaptive part which contains the parameter structure adaptations.
Author : J. F. C. Kingman
Publisher : Clarendon Press
ISBN 13 : 0191591246
Total Pages : 118 pages
Book Rating : 4.1/5 (915 download)
Download or read book Poisson Processes written by J. F. C. Kingman and published by Clarendon Press. This book was released on 1992-12-17 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the theory of random processes there are two that are fundamental, and occur over and over again, often in surprising ways. There is a real sense in which the deepest results are concerned with their interplay. One, the Bachelier Wiener model of Brownian motion, has been the subject of many books. The other, the Poisson process, seems at first sight humbler and less worthy of study in its own right. Nearly every book mentions it, but most hurry past to more general point processes or Markov chains. This comparative neglect is ill judged, and stems from a lack of perception of the real importance of the Poisson process. This distortion partly comes about from a restriction to one dimension, while the theory becomes more natural in more general context. This book attempts to redress the balance. It records Kingman's fascination with the beauty and wide applicability of Poisson processes in one or more dimensions. The mathematical theory is powerful, and a few key results often produce surprising consequences.
Author : Badal S. Joshi
Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (645 download)
Download or read book A Doubly Stochastic Poisson Process Model for Wake-sleep Cycling written by Badal S. Joshi and published by . This book was released on 2009 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: In adult mammalian species, sleep is composed of several micro-sleep bouts which are exponentially distributed and micro-wake bouts which follow a power law. In infant rats both sleep and wake bouts follow an exponential law, only as the animal develops the wake bout times develop the heavy tail of a power law.
Author : J Grandell
Publisher : CRC Press
ISBN 13 : 9780412787003
Total Pages : 288 pages
Book Rating : 4.7/5 (87 download)
Download or read book Mixed Poisson Processes written by J Grandell and published by CRC Press. This book was released on 1997-05-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: To date, Mixed Poisson processes have been studied by scientists primarily interested in either insurance mathematics or point processes. Work in one area has often been carried out without knowledge of the other area. Mixed Poisson Processes is the first book to combine and concentrate on these two themes, and to distinguish between the notions of distributions and processes. The first part of the text gives special emphasis to the estimation of the underlying intensity, thinning, infinite divisibility, and reliability properties. The second part is, to a greater extent, based on Lundberg's thesis.
Author :
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (227 download)
Download or read book Estimation of the Rate of a Doubly-Stochastic Time-Space Poisson Process written by and published by . This book was released on 1985 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors consider the problem of estimating the rate of a doubly-stochastic, time-space Poisson process when the observations are restricted to a region D reflex subset contained in R(exp 2). In the general case, they obtain a representation of the minimum mean-square-error (MMSE) estimate in terms of the conditional characteristic function of an underlying state process. In the case D = R(exp 2), they extend a known result to compute the MMSE estimate explicitly. For a special form of the rate process, a well-defined integral equation is presented which defines the linear MMSE estimate of the rate.
