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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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Continuous-Time Stochastic Processes

1987
Applications of continuous-time stochastic processes to economic modelling are largely focused on the areas of capital theory and financial markets: In these applications as in mathematics generally, the most widely studied continuous time process is a Brownian motion — so named for its early application as a model of the seemingly random movements of ...
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Stochastic Processes

2002
Existence of Diffusions with Continuous Coefficients On the Uniqueness of Markov Process Associated with the Boltzmann Equation of Maxwellian Molecules Stochastic Differential Equations with Reflecting Boundary Condition in Convex Regions Limit Distributions for One-Dimensional Diffusion Processes in Self-Similar Random Environments Recurrence of a ...
Makoto Maejima, Tokuzo Shiga
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Stochastic Processes

1999
Abstract Stochastic processes are a fundamental concept in finance theory. They describe random phenomena that evolve over time, such as securities prices, interest rates, trading strategies, the value of an investor’s portfolio, etc.
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Molecular imaging in oncology: Current impact and future directions

Ca-A Cancer Journal for Clinicians, 2022
Steven P Rowe, Martin G Pomper
exaly  

Modulation of cellular processes by histone and non-histone protein acetylation

Nature Reviews Molecular Cell Biology, 2022
Maria Shvedunova, Asifa Akhtar
exaly  

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