measurable process
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Progressively measurable process — In mathematics, progressive measurability is a property of stochastic processes. A progressively measurable process cannot see into the future , but being progressively measurable is a strictly stronger property than the notion of being an… … Wikipedia
Process philosophy — (or Ontology of Becoming) identifies metaphysical reality with change and dynamism. Since the time of Plato and Aristotle, philosophers have posited true reality as timeless , based on permanent substances, whilst processes are denied or… … Wikipedia
Process capability — A PROCESS is a unique combination of tools, materials, methods, and people engaged in producing a measurable output; for example a manufacturing line for machine parts. All processes have inherent statistical variability which can be evaluated by … Wikipedia
Adapted process — In the study of stochastic processes, an adapted process (or non anticipating process) is one that cannot see into the future . An informal interpretation[1] is that X is adapted if and only if, for every realisation and every n, Xn is known at… … Wikipedia
Stochastic process — A stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system) in probability theory. Instead of dealing with only one possible reality of how the process might evolve under time (as is… … Wikipedia
Point process — In statistics and probability theory, a point process is a type of random process for which any one realisation consists of a set of isolated points either in time or geographical space, or in even more general spaces. For example, the occurrence … Wikipedia
Empirical process — The study of empirical processes is a branch of mathematical statistics and a sub area of probability theory. It is a generalization of the central limit theorem for empirical measures. DefinitionIt is known that under certain conditions… … Wikipedia
Borel right process — Let E be a locally compact separable metric space.We will denote by mathcal E the Borel subsets of E.Let Omega be the space of right continuous maps from [0,infty) to E that have left limits in E,and for each t in [0,infty), denote by X t the… … Wikipedia
Wiener process — In mathematics, the Wiener process is a continuous time stochastic process named in honor of Norbert Wiener. It is often called Brownian motion, after Robert Brown. It is one of the best known Lévy processes (càdlàg stochastic processes with… … Wikipedia
Determinantal point process — In mathematics, a determinantal point process is a stochastic point process, the probability distribution of which is characterized as a determinant of some function. Such processes arise as important tools in random matrix theory, combinatorics … Wikipedia
Disruptive Solutions Process — The Disruptive Solutions Process (DSP) is a concept applied to the mishap prevention part of the combat operations process, often at tactical or operational level, primarily in Air National Guard applications. However, it has been used… … Wikipedia