
1 Stochastic models
. Модели сопоставления обязательств, предполагающие невозможность точного определения выплат по обязательствам и денежных поступлений от активов. См. также Deterministic models (детерминистские модели) . Инвестиционная деятельность . 
2 stochastic models
1) Компьютерная техника: вероятностные модели2) Макаров: стохастические модели 
3 Stochastic models
نماذج احتمالية 
4 stochastic models
• стохастичен моделEnglishBulgarian polytechnical dictionary > stochastic models

5 stochastic models
EnglishRussian dictionary of computer science > stochastic models
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Stochastic models — Liability matching models that assume that the liability payments and the asset cash flows are uncertain. Related: Deterministic models. The New York Times Financial Glossary … Financial and business terms
stochastic models — liability matching models that assume that the liability payments and the asset cash flows are uncertain. Related: deterministic models. Bloomberg Financial Dictionary … Financial and business terms
Stochastic — (from the Greek Στόχος for aim or guess ) means random.A stochastic process is one whose behavior is non deterministic in that a state s next state is determined both by the process s predictable actions and by a random element. Stochastic crafts … Wikipedia
Stochastic modelling (insurance) — This page is concerned with the stochastic modelling as applied to the insurance industry. For other stochastic modelling applications, please see Monte Carlo method. For mathematical definition, please see Stochastic process.tochastic model… … Wikipedia
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
Stochastic programming — is a framework for modeling optimization problems that involve uncertainty. Whereas deterministic optimization problems are formulated with known parameters, real world problems almost invariably include some unknown parameters. When the… … Wikipedia
Stochastic approximation — methods are a family of iterative stochastic optimization algorithms that attempt to find zeroes or extrema of functions which cannot be computed directly, but only estimated via noisy observations. The first, and prototypical, algorithms of this … Wikipedia
Stochastic 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… … Wikipedia
Models of collaborative tagging — Many have argued that social tagging or collaborative tagging systems can provide navigational cues or “way finders” [1][2] for other users to explore information. The notion is that, given that social tags are labels that users create to… … Wikipedia
Stochastic Volatility  SV — A statistical method in mathematical finance in which volatility and codependence between variables is allowed to fluctuate over time rather than remain constant. Stochastic in this sense refers to successive values of a random variable that are… … Investment dictionary
Stochastic contextfree grammar — A stochastic context free grammar (SCFG; also probabilistic context free grammar, PCFG) is a context free grammar in which each production is augmented with a probability. The probability of a derivation (parse) is then the product of the… … Wikipedia