Abstract
Preface. Part I: Random Series and Linear Transformations of Sequences of Independent Random Elements. 1. Series of Independent Random Elements. 2. Linear Transformations of Independent Random Elements and Series in Sequence Spaces. Part II: Limit Theorems for Operator-Normed Sums of Independent Random Vectors and Their Applications. 3. Operator-Normed Sums of Independent Random Vectors and Their Applications. 4. Operator-Normed Sums of Independent Identically Distributed Random Vectors. 5. Asymptotic Properties of Gaussian Markov Sequences. 6. Continuity of Sample Paths of Gaussian Markov Processes. 7. Asymptotic Properties of Recurrent Random Sequences. 8. The Interplay Between Strong and Weak Limit Theorems for Sums of Independent Random Variables. Comments. Bibliography. Subject Index. List of Notations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
