直线上随机环境中可逗留的随机游动的若干性质

主要研究直线上随机环境中可逗留的随机游动的常返性与极限性质,在独立随机环境下,通过强大数定律给出了常返与暂留的一个充分条件;在一般随机环境下,通过数列的有界性给出了常返与零常返的充分条件并讨论了在独立随机环境下非常返性中的大数定律,从而推广了Solomon的研究框架.     

半直线上的独立随机环境中的随机游动

本文给出环境独立时半直线上随机游动的模型.在假定环境满足一定的条件下,证明了一个强大数定律,运用该定律讨论了过程常返性及非常返的判定.     

随机变量序列的大数定律及常返性定理

对一类有界独立或相依的随机变量序列|ξn|,获得了它的伯努利大数定律、波雷尔强大数定律及常返性定理.作为应用,得出了Loève专著[1]中的推广的伯努利大数定律、常返性定理,改进了[1]中的推广的波雷尔强大数定律.     

随机环境中单边有界跳幅生灭过程的极限定理（英文）

考虑一个随机环境中的生灭过程{N_t}_t≥0,在每个不连续点,可能有一个粒子出生或者最多有L个粒子死亡.本文首先研究了过程{N_t}的存在性和常返性,然后给出其大数定律的证明.利用随机游动的分枝结构为工具,过程{N_t}的首中时可以表示为一个随机环境中多物种分枝过程及一列相互独立且服从指数分布的随机变量的泛函.通过这种手段,过程{N_t}大数定律的速度得以显式表达.     

半直线上随机环境中的随机游动的常返性

本文讨论半直线上随机环境中的随机游动的常返性。在独立环境下，主要通过强大数定律，找到了非常返和正常返的一个充分条件下，并将这一结果推广到一些特殊情情形。在一般的随机环境下，主要通过数列的有界性，给出了常返与零常返的一个充分条件。     

半直线上随机环境中随机游动的极限性质

文对右半直线上在0点带有反射壁的随机环境中随机游动进行了研究,得到了在环境是平稳遍历条件下的常返准则及在环境是独立同分布条件下的一个强大数定律和中心极限定理.     

一类时间随机环境中随机游动

利用概率母函数方法,通过对一类时间随机环境中随机游动首中时性质的研究,得到了该随机游动的常返准则和一个强大数定律.     

带移民的单生过程

本文给出了带移民单生过程唯一性、常返性、遍历、强遍历的显式判别准则和指数遍历的显式充分条件,以及0点首中时的n阶矩显式表达式.作为应用,给出了带移民生灭过程的相关性质,并且在文末讨论了几个例子的各种遍历性.     

随机环境中马氏链状态的各种常返性与暂留性

考虑到随机环境中马氏链的状态在受到环境因素各种条件的影响下,引入了随机环境中马氏链状态的各种常返性与暂留性概念,讨论了这些常返性与暂留性的相互关系,从而说明随机环境中马氏链状态的常返性与暂留性和经典马氏链状态的常返性与暂留性有着显著的区别.     

半直线上随机环境中可逗留随机游动的常返性

本文主要讨论了在独立但不同分布环境下，半直线上可逗留随机环境中随机游动的常返性和非常返性，并进一步研究了常返性中的正常返性和零常返性．     

直线上独立时间随机环境中随机游动的渐近行为

主要讨论直线上独立时间随机环境中随机游动的常返性和非常返性,以及该过程的中心极限定理.     

Associated Laguerre-Konhauser polynomials, quasi-monomiality and operational identities

In this paper we exploit the monomiality principle to discuss and introduce a new class of Laguerre-Konhauser polynomials. We study their properties (differential equations, generating functions, recurrence relations, expansions and so on), and discuss the link with ordinary case.     

On conservativeness and recurrence criteria for Markov processes

In the present paper, we give general criteria of conservativeness and recurrence for Markov processes associated with, not necessarily symmetric, Dirichlet spaces. The conservativeness criterion is applied to discuss a comparison theorem of conservativeness for diffusion processes. Also some sufficient conditions of conservativeness and recurrence for diffusion processes.are given.     

绕积马氏链的状态分类

利用绕积马氏链的特征数和马氏链的一般理论讨论了随机环境中马氏链的各种状态之间的关系,给出了在联合空间不可分解的条件下状态正则本质与常返的关系,还给出了状态弱常返若干充分条件.     

Recurrence and Transience Criteria for Symmetric Hunt Processes

In this paper, we will discuss recurrence, transience and other potential theoretic aspects based on symmetric regular Dirichlet space. We will first deal with Dirichlet space with the strong local property and give a recurrence criterion in terms of exhaustion function. This criterion shows that recurrence automatically provides us with an exhaustion function which is usable to verify a Liouville property on subharmonic functions. Secondly, a recurrence criterion and a transience criterion for a Nonlocal Dirichlet space will be presented. Those criteria can be applied to Albeverio–Karwowski"s random walks on p-adic number field. Lastly, we will prove the assertions which cover other potential theoretic aspect of p-adic number field such as Liouville property on harmonic functions.     

The Dichotomy of Recurrence and Transience of Semi-Lévy Processes

A semi-Lévy process is an additive process with periodically stationary increments. In particular, it is a generalization of a Lévy process. The dichotomy of recurrence and transience of Lévy processes is well known, but this is not necessarily true for general additive processes. In this paper, we prove the recurrence and transience dichotomy of semi-Lévy processes. For the proof, we introduce a concept of semi-random walk and discuss its recurrence and transience properties. An example of semi-Lévy process constructed from two independent Lévy processes is investigated. Finally, we prove the laws of large numbers for semi-Lévy processes.     

Dynamic optimal strategy for monitoring disease recurrence

Surveillance to detect cancer recurrence is an important part of care for cancer survivors.In this paper we discuss the design of optimal strategies for early detection of disease recurrence based on each patient’s distinct biomarker trajectory and periodically updated risk estimated in the setting of a prospective cohort study.We adopt a latent class joint model which considers a longitudinal biomarker process and an event process jointly,to address heterogeneity of patients and disease,to discover distinct biomarker trajectory patterns,to classify patients into different risk groups,and to predict the risk of disease recurrence.The model is used to develop a monitoring strategy that dynamically modifies the monitoring intervals according to patients’ current risk derived from periodically updated biomarker measurements and other indicators of disease spread.The optimal biomarker assessment time is derived using a utility function.We develop an algorithm to apply the proposed strategy to monitoring of new patients after initial treatment.We illustrate the models and the derivation of the optimal strategy using simulated data from monitoring prostate cancer recurrence over a 5-year period.     

Multiple Ergodicity For Reversible Markov Chains

Inspired by the multiple recurrence and multiple ergodic theorems for measure preserving systems, we discuss an analogous question for measure preserving semigroups. In this note, we deal with the symmetric semigroups associated to reversible Markov chains.