probabilistic process
1probabilistic process — tikimybinis procesas statusas T sritis chemija apibrėžtis Procesas, kuris iš anksto negali būti tiksliai nusakytas, o yra apibūdinamas jo vykimo tikimybe. atitikmenys: angl. probabilistic process; random process; stochastic process rus.… …
2Probabilistic design — is a discipline within Engineering Design. It deals primarily with the consideration of the effects of random variability upon the performance of an engineering system during the design phase. Typically, these effects are related to quality and… …
3Process mining — techniques allow for the analysis of business processes based on event logs. They are often used when no formal description of the process can be obtained by other means, or when the quality of an existing documentation is questionable. For… …
4Business Process Discovery — I. Up front Definition and Summary Business Process Discovery (BPD) (also known as process mining) is a set of techniques that automatically construct a depiction of an organization’s current business processes. These techniques use evidence… …
5random process — tikimybinis procesas statusas T sritis chemija apibrėžtis Procesas, kuris iš anksto negali būti tiksliai nusakytas, o yra apibūdinamas jo vykimo tikimybe. atitikmenys: angl. probabilistic process; random process; stochastic process rus.… …
6stochastic process — tikimybinis procesas statusas T sritis chemija apibrėžtis Procesas, kuris iš anksto negali būti tiksliai nusakytas, o yra apibūdinamas jo vykimo tikimybe. atitikmenys: angl. probabilistic process; random process; stochastic process rus.… …
7Stochastic 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… …
8Dirichlet process — In probability theory, a Dirichlet process is a stochastic process that can be thought of as a probability distribution whose domain is itself a random distribution. That is, given a Dirichlet process , where H (the base distribution) is an… …
9Moran process — A Moran process, named after Patrick Moran, is a stochastic process used in biology to describe finite populations. It can be used to model variety increasing processes such as mutation as well as variety reducing effects such as genetic drift… …
10Cyclostationary process — A cyclostationary process is a signal having statistical properties that vary cyclically with time.[1] A cyclostationary process can be viewed as multiple interleaved stationary processes. For example, the maximum daily temperature in New York… …
