All Adjective Noun
2,388 examples (0.02 sec)
  • Models for time series data can have many forms and represent different stochastic processes.
  • The newly discovered population is also most rare and might go extinct due to stochastic events.
  • Until recently, stochastic models of character change were not available for non-molecular data.
  • Variations in some stars appear to be stochastic while others show multiple periods.
  • According to its stochastic nature, this new state is accepted at random.
  • An event known as "stochastic pop" occurs when prices break out and keep going.
  • He is best known for his work on stochastic processes.
  • After that he continued to develop his ideas on stochastic analysis with many important papers on the topic.
  • We now present an example from finance of multi-stage stochastic programming.
  • The field of stochastic control has developed greatly since the 1970s, particularly in its applications to finance.
  • Conceptually this is not essential and one can consider more general two-stage stochastic programs.
  • A stochastic process can be used to describe how a set of characters evolves within a language.
  • The term stochastic refers to the point of a current price in relation to its price range over a period of time.
  • Individual decision problems with stochastic outcomes are sometimes considered "one-player games".
  • An advanced approach uses a combination of stochastic methods and linear response theory.
  • It is common in stochastic processes to care about the expected value of a variable given a previous information set.
  • Two or more time series are cointegrated if they share a common stochastic drift.
  • It is a key process in terms of which more complicated stochastic processes can be described.
  • He also has done significant work on controlling errors in self-assembly and the stochastic analysis of self-assembly.
  • Large areas have large populations, which are less likely to go extinct through stochastic processes.
  • Next »

Words starting with stochastic