Stochastic process
Stochastic Process Optimization Technique
... tic process based on path integral techniques used in quantum mechanics and an approximate value of optimal solution is calculated as an expected value instead of accurate ...using stochastic process ...
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Backwards Ito-Henstock Integral for the Hilbert-Schmidt-Valued Stochastic Process
... operator-valued stochastic process with respect to a Hilbert space-valued Q-Wiener process which is ac- tually an extension of the work of Arcede and Cabral in ...
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A Partial-differential Approximation for Spatial Stochastic Process Algebra
... In this paper we considered a spatial extension of stochas- tic process algebra with ODE semantics. Under the assump- tion of processes evolving over a two-dimensional regular lat- tice with an unbiased random ...
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Asymmetric problems and stochastic process models of traffic assignment
... It is an open question as to whether real-life networks exist with multiple equilibrium/ pseudo-stable solutions, except in so far as the simple examples considered here coarsely represent movements on an isolated OD ...
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Protein Structure Prediction Using Stochastic Process Probabilistic Model
... the process of prediction of the three dimensional structure of a protein from its amino acid ...to process hug amount of data to study the behaviour of various types of ...or process various type of ...
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Stochastic process model for timber-concrete composite beam deterioration
... the stochastic process approach would be able to capture site spe- cific ...gamma process for deterioration model- ing for target lifecycle is included in the ...gamma process representation ...
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A Version of Fundamental Theorem for the Ito-McShane Integral of an Operator-Valued Stochastic Process
... Abstract. In this paper, we formulate a descriptive definition or a version of fundamental theo- rem for the Itˆ o-McShane integral of an operator-valued stochastic process with respect to a Hilbert ...
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The Multi Agent System and Stochastic Process in the Road Traffic
... This process applies to many situations such as the arrival of customers at the CTM, the emission of radioactive particles…etc Generally speaking; this type of process is relevant to recurrent ...a ...
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Double Lusin Condition for the Ito-Henstock Integrable Operator-Valued Stochastic Process
... In [19], Chew et al. introduced the Itˆ o-Henstock integral of a real-valued process with respect to a Brownian motion. We shall use the same definition of belated partial division employed by the authors in [19] ...
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Wavelet Based Estimation of the Derivatives of a Density for a Discrete-Time Stochastic Process: Lp-Losses
... a stochastic process to attain the same result as for the associated, negatively associated and m-dependent cases, we have to impose certain weak dependence conditions on the considered process { X n ...
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Whole field visual motion drives swimming in larval zebrafish via a stochastic process
... Caudo-rostral whole-field visual motion elicits forward locomotion in many organisms, including larval zebrafish. Here, we investigate the dependence on the latency to initiate this forward swimming as a function of the ...
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Modeling of Stochastic Process of Implementation of Various Combinations of Dangerous Meteorological Phenomena in the Mountains of the Caucasus
... physical process of their occurrence has stochastic nature and it can be investigated as a random process based on the well-known probability theorems of multiplication and ...the stochastic ...
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Stochastic process deterioration modelling for adaptive inspections
... gamma process, as a continuous-time stochastic process with independent, non-negative increments having gamma distribution with an identical scale parameter and a time dependent shape function is ...
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The distribution of species range size: a stochastic process
... The importance of environmental factors, and the ability of species to respond, in influencing geographical range sizes raises the possibility of developing a stochastic theory of species-range size distributions. ...
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General Statistics of Stochastic Process of Gene Expression in Eukaryotic Cells
... G ENE expression within a cell is a complex process lem (Bishop et al. 1974; Velculescu et al. 1999). An involving chromatin remodeling, transcription, important current issue for gene identification is de- and ...
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A Stochastic Process for Word Frequency Distributions
... Figure 1A displays the rank-frequency distribution of Dutch monomorphemic phonologically represented stems, function words excluded, and charts the lexical similarity effects of the subs[r] ...
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Parametric Linear Stochastic Modelling of Benue River flow Process
... The stochastic models (Thomas-Fiering and ARIMA , 2 1,1,1, 12 ) may be used for forecasting of the Benue River monthly flow, though the former performed relatively better than the ...the ...
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Stochastic Modelling of Great Letaba River Flow Process
... iterative process that involved three key steps: specification tests; model comparisons; and diagnostic or goodness-of-fit ...tionary stochastic process is ...
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A Stochastic SIVS Epidemic Model Based on Birth and Death Process
... Recently, a great interest in the analysis and prediction of consequences of public health strategies designed to control infectious disease, particularly tuberculosis and (Acquired Immune Deficiency Syndrome) AIDS [1], ...
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Stability of Stochastic Logistic Model with Ornstein Uhlenbeck Process for Cell Growth of Microorganism in Fermentation Process
... continuous stochastic process which is extensively used to model phenomena in various fields such as industry, dynam- ic process, physics, finance and fermentation process [3] [11] ...
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