Michael B. Marcus – författare
Markov Processes, Gaussian Processes, and Local Times
1 338 kr
Skickas inom 7-10 vardagar
712 kr
Skickas inom 5-8 vardagar
1 623 kr
Skickas inom 10-15 vardagar
Markov Processes, Gaussian Processes, and Local Times
1 036 kr
Skickas inom 7-10 vardagar
970 kr
Läs direkt efter köp
In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s. of random Fourier series on locally compact Abelian groups and on compact non-Abelian groups. They also obtain many related results. For example, whenever a random Fourier series converges uniformly a.s. it also satisfies the central limit theorem. The methods developed are used to study some questions in harmonic analysis that are not intrinsically random. For example, a new characterization of Sidon sets is derived.The major results depend heavily on the Dudley-Fernique necessary and sufficient condition for the continuity of stationary Gaussian processes and on recent work on sums of independent Banach space valued random variables. It is noteworthy that the proofs for the Abelian case immediately extend to the non-Abelian case once the proper definition of random Fourier series is made. In doing this the authors obtain new results on sums of independent random matrices with elements in a Banach space. The final chapter of the book suggests several directions for further research.
2 049 kr
Läs direkt efter köp
Probability in Banach Spaces, 9
1 623 kr
Skickas inom 10-15 vardagar
1 008 kr
Skickas inom 5-8 vardagar
474 kr
Skickas inom 5-8 vardagar
950 kr
Läs direkt efter köp
This SpringerBriefs employs a novel approach to obtain the precise asymptotic behavior at infinity of a large class of permanental sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and Markov chains.
The authors study alpha-permanental processes that are positive infinitely divisible processes determined by the potential density of a transient Markov process. When the Markov process is symmetric, a 1/2-permanental process is the square of a Gaussian process. Permanental processes are related by the Dynkin isomorphism theorem to the total accumulated local time of the Markov process when the potential density is symmetric, and by a generalization of the Dynkin theorem by Eisenbaum and Kaspi without requiring symmetry. Permanental processes are also related to chi square processes and loop soups.The book appeals to researchers and advanced graduate students interested in stochastic processes, infinitely divisible processes and Markov chains.
1 416 kr
Läs direkt efter köp
High Dimensional Probability III
1 084 kr
Skickas inom 10-15 vardagar
High Dimensional Probability III
1 084 kr
Skickas inom 10-15 vardagar