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1. Stochastic Models: Stochastic Models is a peer-reviewed scientific journal that publishes papers on stochastic models. It is published by Taylor & Francis. [100%] 2024-09-03 [Mathematics journals]
2. Stochastic investment model: A stochastic investment model tries to forecast how returns and prices on different assets or asset classes, (e. g. [74%] 2022-12-29 [Financial models] [Monte Carlo methods in finance]...
3. Doubly stochastic model: In statistics, a doubly stochastic model is a type of model that can arise in many contexts, but in particular in modelling time-series and stochastic processes. The basic idea for a doubly stochastic model is that an observed random ... [74%] 2021-12-21 [Latent variable models] [Hidden stochastic models]...
4. Stochastic vacuum model: In physics, the stochastic vacuum model is a nonperturbative, phenomenological approach to derive cross section in quantum chromodynamics. It is deemed impossible to calculate the vacuum averages of gauge-invariant quantities in QCD in a closed form, e.g. (Physics) [74%] 2023-07-23 [Quantum chromodynamics]
5. Stochastic block model: The stochastic block model is a generative model for random graphs. This model tends to produce graphs containing communities, subsets of nodes characterized by being connected with one another with particular edge densities. [74%] 2024-10-07 [Machine learning] [Random graphs]...
6. Stochastica: Stochastica is a moth genus in the subfamily Autostichinae. It contains the species Stochastica virgularia, which is found in China (Yunnan). (Biology) [72%] 2024-08-18 [Autostichinae]
7. Models (band): Models (also sometimes known as The Models) are an Australian rock band formed in Melbourne, Victoria in August 1978. They went into hiatus in 1988, but re-formed in 2000, 2006 and 2008 to perform reunion concerts. (Band) [60%] 2024-01-07 [Models (band)] [ARIA Award winners]...
8. Models: Models (иногда — The Models) — австралийская рок-группа, образовавшаяся в 1978 году в Мельбурне и исполнявшая скоростной нововолновый поп-рок с элементами панка, глэма и даба. The Models не достигли уровня популярности своих основных конкурентов, INXS, но имели стабильную репутацию участников «первой тройки» (наряду с Midnight Oil) австралийской «но. [60%] 2024-02-16
9. Stochastic models of ion channel gating: Stochastic models of ion channel gating date back as far as the pioneering work of Hodgkin and Huxley (1952), whose gating variables are often interpreted as probabilities. Sakmann and Neher directed the efforts that led to the first single-channel ... [57%] 2021-12-24 [Electrophysiology] [Computational Neuroscience]...
10. Stochastic geometry models of wireless networks: In mathematics and telecommunications, stochastic geometry models of wireless networks refer to mathematical models based on stochastic geometry that are designed to represent aspects of wireless networks. The related research consists of analyzing these models with the aim of better ... [57%] 2022-12-25 [Probabilistic models] [Spatial processes]...
11. Stochastic matrix: In mathematics, a stochastic matrix is a square matrix used to describe the transitions of a Markov chain. Each of its entries is a nonnegative real number representing a probability. (Matrix used to describe the transitions of a Markov chain) [57%] 2024-01-08 [Matrices] [Markov models]...
12. Stochastic oscillator: In technical analysis of securities trading, the stochastic oscillator is a momentum indicator that uses support and resistance levels. George Lane developed this indicator in the late 1950s. (Finance) [57%] 2023-11-13 [Technical indicators]
13. Stochastic optimization: Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints. [57%] 2023-09-18 [Stochastic optimization] [Monte Carlo methods]...
14. Stochastic integral: An integral "∫ H dX" with respect to a semi-martingale $ X $ on some stochastic basis $ ( \Omega , {\mathcal F} , ( {\mathcal F} _ {t} ) _ {t} , {\mathsf P} ) $, defined for every locally bounded predictable process $ H = ( H _ {t} , {\mathcal F} _ ... (Mathematics) [57%] 2024-01-12 [Stochastic analysis]
15. Stochastic modelling (insurance): "Stochastic" means being or having a random variable. A stochastic model is a tool for estimating probability distributions of potential outcomes by allowing for random variation in one or more inputs over time. (Insurance) [57%] 2023-12-19 [Actuarial science] [Stochastic models]...
16. Stochastic volatility: In statistics, stochastic volatility models are those in which the variance of a stochastic process is itself randomly distributed. They are used in the field of mathematical finance to evaluate derivative securities, such as options. (Finance) [57%] 2023-05-19 [Mathematical finance] [Options (finance)]...
17. Stochastic control: Stochastic control or stochastic optimal control is a sub field of control theory that deals with the existence of uncertainty either in observations or in the noise that drives the evolution of the system. The system designer assumes, in a ... (Probabilistic optimal control) [57%] 2022-11-05 [Control theory] [Stochastic processes]...
18. Stochastic game: A dynamic game in which the transition distribution function does not depend on the history of the game, i.e. $$ F( x _ {k} \mid x _ {1} , s ^ {( x _ {1} ) } \dots x _ {k-} 1 , s ^ {( x _ ... (Mathematics) [57%] 2023-08-30
19. Stochastic scheduling: Stochastic scheduling concerns scheduling problems involving random attributes, such as random processing times, random due dates, random weights, and stochastic machine breakdowns. Major applications arise in manufacturing systems, computer systems, communication systems, logistics and transportation, and machine learning, among others. (Problems involving random attributes) [57%] 2023-09-08 [Scheduling (computing)]
20. Stochastic calculus: Stochastic calculus is a branch of mathematics that operates on stochastic processes. It allows a consistent theory of integration to be defined for integrals of stochastic processes with respect to stochastic processes. [57%] 2023-12-09 [Stochastic processes] [Mathematical finance]...