Abstract

We consider the logarithm of the likelihood ratio between the sequence of the nonnegative integer valued random variables and the independent product distribution, establishing strong deviation theorems on the subset. As a corollary, we obtain classical strong laws of large numbers of Kolmogorov type for dependent random sequences with different distributions. Moreover, we discuss the deviation estimation for nonhomogeneous Markov chains.

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 call

Disclaimer: 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.