- optimal smoothing
- мат. оптимальное сглаживание
Большой англо-русский и русско-английский словарь. 2001.
Большой англо-русский и русско-английский словарь. 2001.
Consumption smoothing — is the economic concept used to express the desire of people for having a stable path of consumption. Since Milton Friedman s permanent income theory (1956) and Modigliani and Brumberg (1954) life cycle model, the idea that agents prefer a stable … Wikipedia
Consumption Smoothing — The ways in which people try to optimize their lifetime standard of living by ensuring a proper balance of spending and saving during the different phases of their life. Those who overspend and put off saving for retirement to enjoy a higher… … Investment dictionary
Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… … Wikipedia
Edge detection — is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a digital image at which the image brightness changes… … Wikipedia
Density estimation — In probability and statistics, density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to… … Wikipedia
Kernel regression — Not to be confused with Kernel principal component analysis. The kernel regression is a non parametric technique in statistics to estimate the conditional expectation of a random variable. The objective is to find a non linear relation between a… … Wikipedia
Flash lag illusion — The flash lag illusion or flash lag effect is a visual illusion wherein a flash and a moving object that appear in the same location are perceived to be displaced from one another (MacKay, 1958; Nijhawan, 1994). Several explanations for this… … Wikipedia
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Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… … Wikipedia
Moving average — For other uses, see Moving average (disambiguation). In statistics, a moving average, also called rolling average, rolling mean or running average, is a type of finite impulse response filter used to analyze a set of data points by creating a… … Wikipedia
Canny edge detector — The Canny edge detection operator was developed by John F. Canny in 1986 and uses a multi stage algorithm to detect a wide range of edges in images. Most importantly, Canny also produced a computational theory of edge detection explaining why the … Wikipedia