MLE algorithm

См. также в других словарях:

• Stochastic volatility — models are used in the field of quantitative finance to evaluate derivative securities, such as options. The name derives from the models treatment of the underlying security s volatility as a random process, governed by state variables such as… …   Wikipedia

• Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …   Wikipedia

• Iterative proportional fitting — The iterative proportional fitting procedure (IPFP, also known as biproportional fitting in statistics, RAS algorithm[1] in economics and matrix raking or matrix scaling in computer science) is an iterative algorithm for estimating cell values of …   Wikipedia

• CrimeStat — Primary File page of CrimeStat CrimeStat is a Windows based spatial statistic software program that conducts spatial and statistical analysis and is designed to interface with a Geographic Information System. The program is developed by Ned… …   Wikipedia

• Exponential distribution — Not to be confused with the exponential families of probability distributions. Exponential Probability density function Cumulative distribution function para …   Wikipedia

• Clay Davenport — Clay Davenport, a native of Hampton Roads, Virginia, now living in Baltimore, Maryland, is a baseball sabermetrician who co founded Baseball Prospectus (BP) in 1996. He co edited several of the Baseball Prospectus annual volumes and is a writer… …   Wikipedia

• Photoacoustic imaging in biomedicine — Photoacoustic imaging, as a hybrid biomedical imaging modality, is developed based on the photoacoustic effect. In photoacoustic imaging, non ionizing laser pulses are delivered into biological tissues (when radio frequency pulses are used, the… …   Wikipedia