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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
1995
Review
1995
1. Introduction and Probability Review. 2. The Poisson Counting Process. 3. Renewal Processes. 4. Finite State Markov Chains. 5… Expand
Highly Cited
1995
Highly Cited
1995
Stable random variables on the real line Multivariate stable distributions Stable stochastic integrals Dependence structures of… Expand
Highly Cited
1987
Highly Cited
1987
I. The General Theory of Stochastic Processes, Semimartingales and Stochastic Integrals.- II. Characteristics of Semimartingales… Expand
Highly Cited
1982
Highly Cited
1982
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Highly Cited
1981
Highly Cited
1981
Preface. Preface to A First Course. Preface to First Edition. Contents of A First Course. Algebraic Methods in Markov Chains… Expand
Highly Cited
1979
Highly Cited
1979
An electromagnetic pulse counter having successively operable, contact-operating armatures. The armatures are movable to a rest… Expand
Review
1974
Review
1974
The history of the development of statistical hypothesis testing in time series analysis is reviewed briefly and it is pointed… Expand
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Highly Cited
1973
Highly Cited
1973
S. Bochner's concept of a subordinate stochastic process is proposed as a model for speculative price series. A general class of… Expand
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Review
1966
Review
1966
Preface. Elements of Stochastic Processes. Markov Chains. The Basic Limit Theorem of Markov Chains and Applications. Classical… Expand
Highly Cited
1965
Highly Cited
1965
Part 1 Probability and Random Variables 1 The Meaning of Probability 2 The Axioms of Probability 3 Repeated Trials 4 The Concept… Expand