Matches in DBpedia 2016-04 for { ?s ?p "In the mathematics of probability, a stochastic process is a random function. In practical applications, the domain over which the function is defined as a time interval (time series) or a region of space (random field).Familiar examples of time series include stock market and exchange rate fluctuations, signals such as speech, audio and video; medical data such as a patient's EKG, EEG, blood pressure or temperature; and random movement such as Brownian motion or random walks.Examples of random fields include static images, random topographies (landscapes), or composition variations of an inhomogeneous material."@en }
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- List_of_stochastic_processes_topics abstract "In the mathematics of probability, a stochastic process is a random function. In practical applications, the domain over which the function is defined as a time interval (time series) or a region of space (random field).Familiar examples of time series include stock market and exchange rate fluctuations, signals such as speech, audio and video; medical data such as a patient's EKG, EEG, blood pressure or temperature; and random movement such as Brownian motion or random walks.Examples of random fields include static images, random topographies (landscapes), or composition variations of an inhomogeneous material.".
- Q3627920 abstract "In the mathematics of probability, a stochastic process is a random function. In practical applications, the domain over which the function is defined as a time interval (time series) or a region of space (random field).Familiar examples of time series include stock market and exchange rate fluctuations, signals such as speech, audio and video; medical data such as a patient's EKG, EEG, blood pressure or temperature; and random movement such as Brownian motion or random walks.Examples of random fields include static images, random topographies (landscapes), or composition variations of an inhomogeneous material.".