stochastic vector
1Stochastic matrix — For a matrix whose elements are stochastic, see Random matrix In mathematics, a stochastic matrix (also termed probability matrix, transition matrix, substitution matrix, or Markov matrix) is a matrix used to describe the transitions of a Markov… …
2Stochastic Frontier Analysis — is a method of economic modeling. It has its starting point in the stochastic production frontier models simultaneously introduced by Aigner, Lovell and Schmidt (1977) and Meeusen and Van den Broeck (1977).The production frontier model without… …
3Stochastic gradient descent — is a general optimization algorithm, but is typically used to fit the parameters of a machine learning model.In standard (or batch ) gradient descent, the true gradient is used to update the parameters of the model. The true gradient is usually… …
4Stochastic tunneling — (STUN) is an approach to global optimization based on the Monte Carlo method sampling of the function to be minimized. Idea Monte Carlo method based optimization techniques sample the objective function by randomly hopping from the current… …
5Stochastic electrodynamics — In theoretical physics, Stochastic electrodynamics (SED) refers to a theory which posits that the interaction of elementary particles with the vacuum radiation field, or zero point field, is ultimately responsible for various familiar quantum… …
6Stochastic 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… …
7Probability vector — In mathematics and statistics, a probability vector or stochastic vector is a vector with non negative entries that add up to one.The positions (indices) of a probability vector represent the possible outcomes of a discrete random variable, and… …
8Continuous stochastic process — Not to be confused with Continuous time stochastic process. In the probability theory, a continuous stochastic process is a type of stochastic process that may be said to be continuous as a function of its time or index parameter. Continuity is a …
9Probabilistic automaton — In mathematics and computer science, the probabilistic automaton (PA) is a generalization of the non deterministic finite automaton; it includes the probability of a given transition into the transition function, turning it into a transition… …
10Multiple trace theory — (MTT) is a memory consolidation model advanced as an alternative model to strength theory. It posits that each time some information is presented to a person, it is neurally encoded in a unique memory trace composed of a combination of its… …
