Measure-Valued Differentiation for Stationary Markov Chains

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Measure-Valued Differentiation for Stationary Markov Chains

We study general state-space Markov chains that depend on a parameter, say, . Sufficient conditions are established for the stationary performance of such a Markov chain to be differentiable with respect to . Specifically, we study the case of unbounded performance functions and thereby extend the result on weak differentiability of stationary distributions of Markov chains to unbounded mapping...

متن کامل

Measure-Valued Differentiation for Markov Chains

This paper addresses the problem of sensitivity analysis for finite-horizon performance measures of general Markov chains. We derive closed-form expressions and associated unbiased gradient estimators for the derivatives of finite products of Markov kernels by measure-valued differentiation (MVD). In the MVD setting, the derivatives of Markov kernels, called D-derivatives, are defined with resp...

متن کامل

Pointwise stabilization of discrete-time matrix-valued stationary Markov chains

Let (Ω,F ,P) be a probability space and S = {S1, . . . , SK} a discrete-topological space that consists of K real d-by-d matrices, where K and d both ≥ 2. In this paper, we study the pointwise stabilizability of a discrete-time, time-homogeneous, stationary (p, P)-Markovian jump linear system Ξ = (ξn) n=1 where ξn : Ω → S. Precisely, Ξ is called “pointwise convergent”, if to any initial state x...

متن کامل

Stationary Probabilities of Markov Chains

In this paper, based on probabilistic arguments, we obtain an explicit solution of the stationary distribution for a discrete time Markov chain with an upper Hessenberg time stationary transition probability matrix. Our solution then leads to a numerically stable and eecient algorithm for computing stationary probabilities. Two other expressions for the stationary distribution are also derived,...

متن کامل

Kernel Estimation for Real-valued Markov Chains

Let {Xn : n = 0, 1, 2, ...} be a real-valued Markov chain. The purpose of this paper is to study properties of kernel type estimators of the stationary density and of the transition density of such a chain. These estimators were considered first by Roussas (1969) and by Rosenblatt (1970). Both authors extended to the Markov chain case some results for kernel estimators of the density based on a...

متن کامل

ذخیره 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: Mathematics of Operations Research

سال: 2006

ISSN: 0364-765X,1526-5471

DOI: 10.1287/moor.1050.0171