Sökt på: Böcker av Vidyadhar Mandrekar
totalt 11 träffar
Weakly Stationary Random Fields, Invariant Subspaces and Applications
The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis). It reviews current …
Weakly Stationary Random Fields, Invariant Subspaces and Applications
The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis). It reviews current …
Stochastic Analysis for Gaussian Random Processes and Fields
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. …
Stochastic Differential Equations in Infinite Dimensions
The systematic study of existence, uniqueness, and properties of solutions to stochastic differential equations in infinite dimensions arising from practical problems characterizes …
Stochastic Integration in Banach Spaces
Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena. …
Weak Convergence of Stochastic Processes
The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random …
Stochastic Integration in Banach Spaces
Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena. …
Stochastic Differential Equations in Infinite Dimensions
The systematic study of existence, uniqueness, and properties of solutions to stochastic differential equations in infinite dimensions arising from practical problems characterizes …
Stochastic Analysis for Gaussian Random Processes and Fields
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. …
Stochastic Integration in Banach Spaces
Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena. …
Weak Convergence of Stochastic Processes
The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random …