A sample of i.i.d. continuous time Markov chains being defined, the sum over each component of a real function of the state is considered. For this functional, a central limit theorem for the first hitting time of a prescribed level is proved. The result extends the classical central limit theorem for order statistics. Various reliability models are presented as examples of applications
Some conditions are given to ensure that for a jump homogeneous Markov process $\{X(t),t\ge 0\}$ the...
AbstractWeak invariance principles for certain continuous time parameter stochastic processes (inclu...
This dissertation has three parts. The first part (Chapter 2) is about the asymptotics of the distri...
We present almost sure central limit theorems for stochastic processes whose time parameter ranges o...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
We study the problem of characterizing the expected hitting times for a robust generalization of con...
Abstract. We provide a detailed derivation for the approximation of an integral Markov process arisi...
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...
Laws of large numbers, central limit theorems, and laws of the iterated logarithm are obtained for d...
Abstract—The central limit theorem is proved within the framework of the functional approach for si...
AbstractA simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodi...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
We present a functional central limit theorem for a new class of interaction Markov chain Monte Carl...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
We discuss the functional central limit theorem (FCLT) for the empirical process of a moving-average...
Some conditions are given to ensure that for a jump homogeneous Markov process $\{X(t),t\ge 0\}$ the...
AbstractWeak invariance principles for certain continuous time parameter stochastic processes (inclu...
This dissertation has three parts. The first part (Chapter 2) is about the asymptotics of the distri...
We present almost sure central limit theorems for stochastic processes whose time parameter ranges o...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
We study the problem of characterizing the expected hitting times for a robust generalization of con...
Abstract. We provide a detailed derivation for the approximation of an integral Markov process arisi...
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...
Laws of large numbers, central limit theorems, and laws of the iterated logarithm are obtained for d...
Abstract—The central limit theorem is proved within the framework of the functional approach for si...
AbstractA simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodi...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
We present a functional central limit theorem for a new class of interaction Markov chain Monte Carl...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
We discuss the functional central limit theorem (FCLT) for the empirical process of a moving-average...
Some conditions are given to ensure that for a jump homogeneous Markov process $\{X(t),t\ge 0\}$ the...
AbstractWeak invariance principles for certain continuous time parameter stochastic processes (inclu...
This dissertation has three parts. The first part (Chapter 2) is about the asymptotics of the distri...