prior distribution

См. также в других словарях:

• Prior probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   Wikipedia

• Prior restraint — is a legal term referring to a government s actions that prevent materials from being published. Censorship that requires a person to seek governmental permission in the form of a license or imprimatur before publishing anything constitutes prior …   Wikipedia

• Distribution — Dis tri*bu tion, n. [L. distributio: cf. F. distribution.] 1. The act of distributing or dispensing; the act of dividing or apportioning among several or many; apportionment; as, the distribution of an estate among heirs or children. [1913… …   The Collaborative International Dictionary of English

• Distribution center — Sainsbury s distribution center in Waltham Point, Hertfordshire, United Kingdom. A distribution center for a set of products is a warehouse or other specialized building, often with refrigeration or air conditioning, which is stock …   Wikipedia

• Distribution amplifier — In electronics, a distribution amplifier or simply distribution amp, is a device that accepts a single input signal and provides this same signal to multiple isolated outputs. These devices are important because they allow a signal to be… …   Wikipedia

• Conjugate prior — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   Wikipedia

• Compound probability distribution — In probability theory, a compound probability distribution is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution F with an unknown parameter θ that is… …   Wikipedia

• Beta distribution — Probability distribution name =Beta| type =density pdf cdf parameters =alpha > 0 shape (real) eta > 0 shape (real) support =x in [0; 1] ! pdf =frac{x^{alpha 1}(1 x)^{eta 1 {mathrm{B}(alpha,eta)}! cdf =I x(alpha,eta)! mean… …   Wikipedia

• Geometric distribution — Probability distribution two name =Geometric type =mass pdf cdf | parameters =0< p leq 1 success probability (real) support =k in {1,2,3,dots}! pdf =(1 p)^{k 1},p! cdf =1 (1 p)^k! mean =frac{1}{p}! median =leftlceil frac{ log(2)}{log(1 p)} ight… …   Wikipedia

• Jeffreys prior — In Bayesian probability, the Jeffreys prior (called after Harold Jeffreys) is a non informative prior distribution proportional to the square rootof the Fisher information:: p( heta) propto sqrt{I( heta | y)}and is invariant under… …   Wikipedia

• Uniform distribution — can refer to:Probability theory* discrete uniform distribution * continuous uniform distributionThey share the property that they have a finite range, and are weakly unimodal where any members of their support can be taken to be the mode. In… …   Wikipedia