Author: J. Grandell
Publisher: Springer
ISBN: 3540382585
Category : Mathematics
Languages : en
Pages : 244
Book Description
Doubly Stochastic Poisson Processes
Author: J. Grandell
Publisher: Springer
ISBN: 3540382585
Category : Mathematics
Languages : en
Pages : 244
Book Description
Publisher: Springer
ISBN: 3540382585
Category : Mathematics
Languages : en
Pages : 244
Book Description
Weil's Representation and the Spectrum of the Metaplectic Group
Author: Jan Grandell
Publisher:
ISBN: 9780387077956
Category : Automorphic forms
Languages : en
Pages : 140
Book Description
Publisher:
ISBN: 9780387077956
Category : Automorphic forms
Languages : en
Pages : 140
Book Description
State dependent thinning of doubly stochastic poisson processes
Recursive Estimation of Doubly Stochastic Poisson Processes with Application to Low Photon Imaging
Statistical Inference for Doubly Stochastic Poisson Processes
Author: Anders Tolver Jensen
Publisher:
ISBN:
Category :
Languages : en
Pages : 132
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 132
Book Description
The Application of Doubly Stochastic Poisson Process Estimation Techniques to Optical Communication Through Log-normal Fading Channels
Applied Stochastic Processes
Author: Mario Lefebvre
Publisher: Springer Science & Business Media
ISBN: 0387489762
Category : Mathematics
Languages : en
Pages : 395
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 0387489762
Category : Mathematics
Languages : en
Pages : 395
Book Description
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.
Nonparametric Estimation of the Generating Function of the Intensity Function Process of a Doubly Stochastic Poisson Process
Author: Kuang-Hua Daphne Chou
Publisher:
ISBN:
Category : Point processes
Languages : en
Pages : 354
Book Description
Publisher:
ISBN:
Category : Point processes
Languages : en
Pages : 354
Book Description
Nonparametric Studies of Doubly Stochastic Poisson Processes, Binomial Data, and High Dimension, Low Sample Size Data
Author: Tingting Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages : 234
Book Description
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.
Publisher:
ISBN:
Category :
Languages : en
Pages : 234
Book Description
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.
The Use of Doubly Stochastic Poisson Processes in Estimating Health Effects Due to Air Pollution
Author: Columbia University. Department of Mathematics
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 20
Book Description
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 20
Book Description