Skip to search formSkip to main contentSkip to account menu

Stochastic process

Known as: Random processes, Stochastic models, Random signal 
A stochastic (/stoʊˈkæstɪk/) process is a random process evolving with time. More specifically, in probability theory, a stochastic process is a time… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
An important issue for solving multistage stochastic programs consists in the approximate representation of the (multivariate… 
Highly Cited
2002
Highly Cited
2002
An uncertainty quantification scheme is developed for the simulation of stochastic thermofluid processes. The scheme relies on… 
Highly Cited
1997
Highly Cited
1997
Applications and issues application to learning, state dependent noise and queueing applications to signal processing and… 
Highly Cited
1995
Highly Cited
1995
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1995
Highly Cited
1995
This book presents applied probability and stochastic processes in an elementary but mathematically precise manner, with numerous… 
Highly Cited
1990
Highly Cited
1990
A numerical and analytical study of conditional and unconditional direction-of-arrival (DOA) estimation is presented. Explicit… 
Highly Cited
1987
Highly Cited
1987
There are few controlled data with which to assess the conservation role of corridors connecting refuges. If cor- ridors were… 
Highly Cited
1986
Highly Cited
1986
Studies stochastic models of queueing, reliability, inventory, and sequencing in which random influences are considered. One… 
Highly Cited
1984
Highly Cited
1984
Studies stochastic models of queueing, reliability, inventory, and sequencing in which random influences are considered. One… 
Highly Cited
1961
Highly Cited
1961
Many problems in electrical engineering, such as the synthesis of linear n ports and the detection and filtration of…