Examples of using Stochastic process in English and their translations into Indonesian
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Stochastic processes have a….
A random sequence obtained from a stochastic process.
A stochastic process is a family of random variables defined on a probability space.
Ito calculus, named after Kiyoshi Ito,treats mathematical operations on stochastic processes.
The stochastic process generating asset returns can be represented as a K factor model.
ItÃ' calculus, named after Kiyoshi ItÃ',treats mathematical operations on stochastic processes….
In probability theory, Girsanov's Theorem tells how stochastic processes change under changes in measure.
Physics- negentropy, stochastic processes, and the development of new physical techniques and instrumentation as well as their application.
During the last stages of planet building, a stochastic process of protoplanetary accretion can randomly alter the spin axis of the planet.
For those who are interested, the program offers courses in quantitative finance,probability, stochastic processes, and statistics, too.
The Galton-Watson process is a stochastic process arising from Francis Galtons statistical investigation of the extinction of surnames….
In mathematics, a Markov chain, named after Andrey Markov,is a discrete-time stochastic process with the Markov property.
The Galton- Watson process is a branching stochastic process arising from Francis Galton's statistical investigation of the extinction of family names.
In mathematics, a(discrete-time) Markov chain, named after Andrei Markov,is a discrete-time stochastic process with the Markov property.
Climate is sometimes modeled as a stochastic process but this is generally accepted as a approximation to processes that are otherwise too complicated to analyze.
During the Solar System's formation,Mars was created out of the protoplanetary disk that orbited the Sun as the result of a stochastic process of run-away accretion.
In a mathematical sense, a stationary process is a stochastic process whose joint probability distribution does not change when shifted in time or space.
In separate work, Wolpert has extended that work beyond just erasing a bit,but an arbitrary stochastic process evolving a system forward in time.
Climate is sometimes modeled as a stochastic process but this is generally accepted as an approximation to processes that are otherwise too complicated to analyze.
From a purely mathematical standpoint, you will study aspects of probability,linear systems, and stochastic processes, used in many automatic reasoning and planning problems.
The stochastic process for LIBOR could be the Libor market model or a Vasichek's model and that of equity could be the standard stochastic differential path with zero or risk free drift.
This user-friendly resourcewill help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice.
In probability theory, a stochastic process has the Markov property if the conditional probability distribution of future states of the process, given the present state, depends only upon the current state, i.e. it is conditionally independent of the past states(the path of the process) given the present state.
A Poisson process, named after the French mathematician Siméon-Denis Poisson(1781- 1840),is a stochastic process which is defined in terms of the occurrences of events.
In mathematics, specifically in probability theory, and yet more specifically in the theory of stochastic processes, the Chapman-Kolmogorov equation(also known as the master equation in physics) is an identity relating the jointprobability distributions of different sets of coordinates on a stochastic process.
A Poisson process, one of a variety of things named after the French mathematician Siméon-Denis Poisson(1781- 1840),is a stochastic process which is defined in terms of the occurrences of events in some space.
In the mathematical sciences, a stationary process(or strict(ly) stationary process) is a stochastic process in which the probability density function of some random variable X does not change over time or position….
In mathematics, the Wiener process, so named in honor of Norbert Wiener,is a continuous-time Gaussian stochastic process with independent increments used in modelling Brownian motion and some random phenomena observed in finance.