Study of dependence for some stochastic processes: Symbolic Markov copulae
نویسندگان
چکیده
منابع مشابه
Hidden Markov structures for dynamic copulae ∗
Understanding the dynamics of a high dimensional non-normal dependency structure is a challenging task. A multivariate Gaussian or mixed normal time varying models are limited in capturing important types of data features such as heavy tails, asymmetry, and nonlinear dependencies. This research aims at tackling this problem by building up a hidden Markov model (HMM) for hierarchical Archimedean...
متن کاملArchimedean copulae and positive dependence
In this paper, we consider different issues related to Archimedean copulae and positive dependence. In the first part, we characterize Archimedean copulae that possess positive dependence properties such as multivariate total positivity of order 2 ðMTP2Þ and conditionally increasingness in sequence. In the second part, we investigate conditions for exchangeable binary sequences to admit an Arch...
متن کاملanalysis of ruin probability for insurance companies using markov chain
در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولStochastic Calculus for Symmetric Markov Processes
Using time-reversal, we introduce a stochastic integral for zero-energy additive functionals of symmetric Markov processes, extending earlier work of S. Nakao. Various properties of such stochastic integrals are discussed and an Itô formula for Dirichlet processes is obtained. AMS 2000 Mathematics Subject Classification: Primary 31C25; Secondary 60J57, 60J55, 60H05.
متن کاملStochastic Comparisons for Non-Markov Processes
A technique is developed for comparing a non-Markov process to a Markov process on a general state space with many possible stochastic orderings. Two such comparisons with a common Markov process yield a comparison between two non-Markov processes. The technique, which is based on stochastic monotonidty of the Markov process, yields stochastic comparisons of the limiting distributions and the m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Stochastic Processes and their Applications
سال: 2012
ISSN: 0304-4149
DOI: 10.1016/j.spa.2011.11.001