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Stochastic process
Known as:
Random processes
, Stochastic models
, Random signal
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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 machine
Cellular model
Computational phylogenetics
Computer simulation
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2008
Review
2008
DWARF GALAXY STARBURST STATISTICS IN THE LOCAL VOLUME
Janice C. Lee
,
R. Kennicutt
,
J. G. F. S.J.
,
S. Sakai
,
Sanae Akiyama
2008
Corpus ID: 15922622
An unresolved question in galaxy evolution is whether the star formation histories (SFHs) of low-mass systems are preferentially…
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Highly Cited
2005
Highly Cited
2005
Relaxed statistical model for speech enhancement and a priori SNR estimation
I. Cohen
IEEE Transactions on Speech and Audio Processing
2005
Corpus ID: 5612975
In this paper, we propose a statistical model for speech enhancement that takes into account the time-correlation between…
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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…
Y. Buckley
,
D. Briese
,
M. Rees
2003
Corpus ID: 5783199
1. Hypericum perforatum , St John's wort, is an invasive weed of natural and agro-ecosystems in south-eastern Australia. In…
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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
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1987
Highly Cited
1987
Contour sequence moments for the classification of closed planar shapes
L. Gupta
,
M. Srinath
Pattern Recognition
1987
Corpus ID: 34697259
Highly Cited
1986
Highly Cited
1986
DOES GNP HAVE A UNIT ROOT
J. Stock
,
M. Watson
1986
Corpus ID: 54869161
Highly Cited
1985
Highly Cited
1985
Recursive estimation and control for stochastic systems
Han-fu Chʿen
1985
Corpus ID: 117736554
Main Concepts of Probability Theory Stochastic Approximation Algorithms Strong Consistency of Least-Squares Identification…
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Review
1962
Review
1962
Review of 'Theory of Random Functions and its Application to Problems of Automatic Control' (Pugachev, V. S.; 1957)
T. Kailath
1962
Corpus ID: 62696758
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