Results 61 to 70 of about 11,828,886 (169)
Some aspects of statistical causality
Causal thinking is deeply embedded in scientific understanding of the problems of applied statistics. This can not always be done by experiments and the researcher is restricted to observing the system he wants to describe.
Petrović Ljiljana
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Numerically Representing A Stochastic Process Algebra
The syntactic nature and compositionality characteristic of stochastic process algebras make models to be easily understood by human beings, but not convenient for machines as well as people to directly carry out mathematical analysis and stochastic simulation.
Jie Ding, Jane Hillston
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A unified approach of catastrophic events [PDF]
Although there is an accumulated charge of theoretical, computational, and numerical work, like catastrophe theory, bifurcation theory, stochastic and deterministic chaos theory, there is an important feeling that these matters do not completely cover ...
S. Nikolopoulos +3 more
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Stochastic Process Algebra Structure for Insensitivity
. Recent research has investigated ways in which general probability distributions may be incorporated into stochastic process algebra. These proposals allow the arbitrary use of such distributions, improving expressibility, but in general this makes ...
Graham Clark
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Model checking probabilistic and stochastic extensions of the pi-calculus [PDF]
We present an implementation of model checking for probabilistic and stochastic extensions of the pi-calculus, a process algebra which supports modelling of concurrency and mobility.
Parker, D. +7 more
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Existence of Measurable Versions of Stochastic Processes
Let (X,A,P), (Y,B,Q) be two arbitrary probability spaces and P:={(A,Py):y∈Y} be a regular conditional probability (rcp) on A with respect to Q. Denote by R the skew product of P and Q determined by P on the product σ-algebra A⊗B and by R^ its completion.
Kazimierz Musiał
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Performance analysis of Stochastic Process Algebra models using Stochastic Simulation
We present a translation of a generic stochastic process algebra model into a form suitable for stochastic simulation. By systematically generating rate equations from a process description, we can use tools developed for chemical and biochemical ...
Nigel Thomas +2 more
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Splitting of Conditional Expectations and Liftings in Product Spaces II
Let (X,A,P) and (Y,B,Q) be two probability spaces, R be their skew product on the product σ-algebra A⊗B and {(Ay,Sy):y∈Y} be a Q-disintegration of R. Then, let A⋇B be the σ-algebra generated A⊗B and by the family M:={E⊂X×Y:∃N∈B0∀y∉NSy^(Ey)=0} and R⋇ be ...
Kazimierz Musiał
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Rate Lifting for Stochastic Process Algebra: Exploiting Structural Properties
This report presents an algorithm for determining the unknown rates in the sequential processes of a Stochastic Process Algebra model, provided that the rates in the combined flat model are given. Such a rate lifting is useful for model reengineering and
Soltanieh, Amin, Siegle, Markus
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Expressing Performance Requirements usingRegular Expressions to Specify Stochastic Probes over
This paper describes how soft performance bounds can be expressed for software systems using stochastic probes over stochastic process algebra models. These stochastic probes are specified using a regular expression syntax that describes the behaviour ...
Nicholas J. Dingle +4 more
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