- selection with variable probability
Statistical terms. 2014.
selection with variable probability
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Selection algorithm — In computer science, a selection algorithm is an algorithm for finding the kth smallest number in a list (such a number is called the kth order statistic). This includes the cases of finding the minimum, maximum, and median elements. There are… … Wikipedia
probability and statistics — ▪ mathematics Introduction the branches of mathematics concerned with the laws governing random events, including the collection, analysis, interpretation, and display of numerical data. Probability has its origin in the study of gambling… … Universalium
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Feature selection — Feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection, is the technique, commonly used in machine learning, of selecting a subset of relevant features for building robust learning … Wikipedia
Natural selection — For other uses, see Natural Selection (disambiguation). Part of a series on Evolutionary Biology … Wikipedia
Conditional probability — The actual probability of an event A may in many circumstances differ from its original probability, because new information is available, in particular the information that an other event B has occurred. Intuition prescribes that the still… … Wikipedia
Multivariate random variable — In mathematics, probability, and statistics, a multivariate random variable or random vector is a list of mathematical variables each of whose values is unknown, either because the value has not yet occurred or because there is imperfect… … Wikipedia
Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is … Wikipedia
Stable and tempered stable distributions with volatility clustering - financial applications — Classical financial models which assume homoskedasticity and normality cannot explain stylized phenomena such as skewness, heavy tails, and volatility clustering of the empirical asset returns in finance. In 1963, Benoit Mandelbrot first used the … Wikipedia
Sequential probability ratio test — The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald. [cite journal first=Abraham last=Wald title=Sequential Tests of Statistical Hypotheses journal=Annals of Mathematical Statistics… … Wikipedia
Secondary Security Screening Selection — or Secondary Security Screening Selectee, known by its acronym SSSS, is an airport security measure in the United States which selects passengers for additional inspection. This may also be known as Selectee, Automatic Selectee or the Selectee… … Wikipedia
