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)

Related topics

Related topics

50 relations
Boltzmann machineCellular modelComputational phylogeneticsComputer simulation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Probability, Statistics, and Random Processes for Engineers
Probability Statistics and Random Processes for Engineers. Probability Statistics and Random Processes for. Electrical… 
Highly Cited
2007
Highly Cited
2007
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionaryalgorithms (EAs) for solving stochastic dynamicoptimization problems… 
Highly Cited
2002
Highly Cited
2002
Parse Disambiguation for a Rich HPSG Grammar
In this paper, we describe experiments on HPSG parse disambiguation using the Redwoods HPSG treebank. We have explored building… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1992
Highly Cited
1992
Optimum distributed detection of weak signals in dependent sensors
Locally optimum (LO) distributed detection is considered for observations that are dependent from sensor to sensor. The necessary… 
Highly Cited
1989
Highly Cited
1989
The MIT SUMMIT Speech Recognition System: A Progress Report
Recently, we initiated a project to develop a phonetically-based spoken language understanding system called SUMMIT. In contrast… 
Highly Cited
1985
Highly Cited
1985
Recursive estimation and control for stochastic systems
Main Concepts of Probability Theory Stochastic Approximation Algorithms Strong Consistency of Least-Squares Identification… 
Highly Cited
1985
Highly Cited
1985
Frequency-domain implementations of periodically time-varying filters
Cyclostationary random processes have statistics that vary periodically in time. Optimum filtering of cyclostationary signals… 
Review
1962
Review
1962
Review of 'Theory of Random Functions and its Application to Problems of Automatic Control' (Pugachev, V. S.; 1957)
Highly Cited
1958
Highly Cited
1958
Theory and application of the separable class of random processes
"May 26, 1958." Issued also as a thesis, M.I.T. Dept. of Electrical Engineering, May 19, 1958. 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)