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Stationary ergodic process

In probability theory, a stationary ergodic process is a stochastic process which exhibits both stationarity and ergodicity. In essence this implies… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Context trees of arbitrary stationary ergodic processes with finite alphabets are considered. Such a process is not necessarily a… 
2010
2010
In this paper, we consider a generalised kernel smoothing estimator of the regression function with non-negative support, using… 
2008
2008
We address three problems of statistical analysis of time series: goodness-of-fit (or identity) testing, process discrimination… 
2008
2008
We address three problems of statistical analysis of real-valued time series: goodness-of-fit (or identity) testing, process… 
2005
2005
Detection of radioactive point sources is inherently divided into two regimes encompassing stationary and moving detectors. The… 
Highly Cited
2001
Highly Cited
2001
A test based on isotonic regression is developed for monotonic trends in short range dependent sequences and is applied to… 
1998
1998
We consider the problem of Lp-consistent density estimation from the initial segments of strongly dependent processes. It is… 
1994
1994
This article presents a method for expressing un certainty in network load models using the theory of compound probability… 
1991
1991
Cutting and stacking, a general method for constructing examples of stationary, ergodic, finite-alphabet processes with desired… 
1978
1978
In this paper we consider an optimal control problem for partially observable Markov decision processes with finite states…