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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

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Review
2018
Review
2018
We introduce a new model of stochastic bandits with adversarial corruptions which aims to capture settings where most of the… Expand
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Review
2018
Review
2018
Abstract Reinforcement learning (RL) offers powerful algorithms to search for optimal controllers of systems with nonlinear… Expand
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Review
2017
Review
2017
In an increasingly networked world in which information is becoming increasingly actual, how can a system know with certainty… Expand
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Highly Cited
1995
Highly Cited
1995
Stable random variables on the real line Multivariate stable distributions Stable stochastic integrals Dependence structures of… Expand
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Highly Cited
1987
Highly Cited
1987
I. The General Theory of Stochastic Processes, Semimartingales and Stochastic Integrals.- II. Characteristics of Semimartingales… Expand
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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
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Highly Cited
1979
Highly Cited
1979
An electromagnetic pulse counter having successively operable, contact-operating armatures. The armatures are movable to a rest… 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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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
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Highly Cited
1962
Highly Cited
1962
It is clear that for given I,un } and t, the better theorem of this kind would be the one in which (2) is proved for the larger… Expand
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