Results 271 to 280 of about 204,078 (311)

Detection of stochastic processes

IEEE Transactions on Information Theory, 1998
Summary: This paper reviews two streams of development, from the 1940's to the present, in signal detection theory: the structure of the likelihood ratio for detecting signals in noise and the role of dynamic optimization in detection problems involving either very large signal sets or the joint optimization of observation time and performance.
Thomas Kailath, H. Vincent Poor
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Tunneling as a Stochastic Process

Foundations of Physics, 1998
An alternative model for tunneling processes, based on the capability of the telegrapher’s equation to describe stochastic processes, is able to account for delay time results of an optical experiment at the microwave scale, where superluminal behaviors have been evidenced.
A. Ranfagni, R. Ruggeri, A. Agresti
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Stochastic Processes with Applications

Technometrics, 1992
Preface to the Classics Edition Preface Sample course outline 1. Random walk and Brownian motion 2, Discrete-parameter Markov chains 3. Birth-death Markov chains 4. Continuous-parameter Markov chains 5. Brownian motion and diffusions 6. Dynamic programming and stochastic optimization 7. An introduction to stochastic differential equations 8.
I. G. MacKenzie, R. N. Bhattacharya, E. C. Waymire   +2 more
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Stochastic Processes

2010
A stochastic process is any process describing the evolution in time of a random phenomenon. From a mathematical point of view, the theory of stochastic processes was settled around 1950. Since then, stochastic processes have become a common tool for mathematicians, physicists, engineers, and the field of application of this theory ranges from the ...
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On Modifications of Stochastic Processes

Mathematische Nachrichten, 1984
Let \({\mathcal P}\) be a family of probability measures on a \(\sigma\)-field \({\mathcal F}\) of subsets of \(\Omega\). Extending results known for the case where \({\mathcal P}\) consists of a single probability measure, the author obtains necessary and sufficient conditions for a stochastic process X on (\(\Omega\),\({\mathcal F},{\mathcal P ...
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EXCITOTOXICITY AS A STOCHASTIC PROCESS

Clinical and Experimental Pharmacology and Physiology, 1995
SUMMARY1. Neuronal death following excitotoxic insult appears to be a stochastic process involving transition through an intermediate biochemical state.2. Hydrogen ion accumulation in the hours after toxic glutamate exposure may indicate that this transition has occurred.
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The Theory of Stochastic Processes.

The Statistician, 1966
The Theory of Stochastic Processes. By D. R. Cox and H. D. Miller. London, Methuen, 1965. x, 398 p. 914″ 70s.
Zakkula Govindarajulu, D. R. Cox, H. D. Miller   +2 more
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Stochastic Process Creation

2009
In many areas of computer science entities can "reproduce", "replicate", or "create new instances". Paramount examples are threads in multithreaded programs, processes in operating systems, and computer viruses, but many others exist: procedure calls create new incarnations of the callees, web crawlers discover new pages to be explored (and so "create"
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Stochastic Processes in Electrochemistry

Analytical Chemistry, 2016
Stochastic behavior becomes an increasingly dominant characteristic of electrochemical systems as we probe them on the smallest scales. Advances in the tools and techniques of nanoelectrochemistry dictate that stochastic phenomena will become more widely manifest in the future.
Pradyumna S. Singh, Serge G. Lemay
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Research in Stochastic Processes.

1983
Abstract : Research was conducted and directed in the area of stochastic processes by three Principal Investigators and their associates, and in estimation in statistical models. The main areas of research activity for each Principal Investigator and co-workers are as follows: (1) Asymptotic optimal quantizers, complex symmetric stable variables and ...
M. R. Leadbetter, Gopinath Kallianpur, Raymond J. Carroll, Stamatis Cambanis   +3 more
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