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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… 
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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
2005
Highly Cited
2005
Relaxed statistical model for speech enhancement and a priori SNR estimation
In this paper, we propose a statistical model for speech enhancement that takes into account the time-correlation between… 
Highly Cited
2004
Highly Cited
2004
Natural selection and the evolution of replicated trophic polymorphisms in pumpkinseed sunfish (Lepomis gibbosus)
Diversifying selection is expected to operate through all phases of adaptive divergence. If selection is not shown to be… 
Highly Cited
2003
Highly Cited
2003
Demography and management of the invasive plant species Hypericum perforatum. II. Construction and use of an individual‐based model to predict population dynamics and the effects of management…
1. Hypericum perforatum , St John's wort, is an invasive weed of natural and agro-ecosystems in south-eastern Australia. In… 
Highly Cited
2001
Highly Cited
2001
APPLIED MATHEMATICS WORKING PAPER SERIESOn Fragility of Bubbles in Equilibrium Asset Pricing Models of Lucas-Type ∗
  • 2001
  • Corpus ID: 11805235
Highly Cited
1996
Highly Cited
1996
Submitted to The Astrophysical Journal Chaos and Mixing in Triaxial Stellar Systems
  • 1996
  • Corpus ID: 14369798
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
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
1986
Highly Cited
1986
DOES GNP HAVE A UNIT ROOT
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… 
Review
1962
Review
1962
Review of 'Theory of Random Functions and its Application to Problems of Automatic Control' (Pugachev, V. S.; 1957)
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