Stochastic Modelling
Stochastic Modelling and Geological Aspects of a Gold Mineralisation
... a stochastic process Z(x): xD, where D may be considered as a mineral de- ...on stochastic modelling treating the process as an 1) Auto-regressive (AR); 2) Moving-average (MA) or a combination of ...
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Stochastic Modelling of Great Letaba River Flow Process
... The history of development of ARMA models started in many decades back, since in 1920s, when Autoregressive (AR) models were introduced for the first time by (Yule, 1926). In 1930s these models gained more strength, when ...
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Stochastic modelling of transcriptional regulation with applications to circadian genes
... We have then outlined an approximate model for transcriptional regulation, by additionally assuming promoter equilibrium. E↵ectively, the approximation re- sults in a birth and death process for the child mRNA, which is ...
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Stochastic modelling of new phenomena in financial markets
... Consistent Stochastic Model of the Term Structure of Interest Rates for Multiple Tenors“, Sydney Financial Mathe- matics Workshop (SFMW), Commonwealth Bank, 201 Sussex Street, Sydney NSW 2000, Australia, October ...
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7. Concepts in Probability, Statistics and Stochastic Modelling
... Uncertainty is always present when planning, developing, managing and operating water resources systems. It arises because many factors that affect the performance of water resources systems are not and cannot be known ...
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Stochastic modelling of infectious diseases for heterogeneous populations
... Results: We test the proposed model on simulation data and apply it to the surveillance data from the 2009 H1N1 pandemic in Hong Kong. In the simulation experiment, our model achieves high accuracy in parameter ...
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Stochastic Modelling of Relative Light Sensitivity of Hair Follicles
... or stochastic [4,5] aspects of HF cycling trying to describe the distribution of dura- tions of different cycle phases in terms of their ...a stochastic process, this parameter is generally not a simple ...
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ARCH-COMP18 Category Report: Stochastic Modelling
... discrete-time stochastic hybrid system [1] that de- pends both the current state of the model and a history of the past input actions by the ...the stochastic first-time hitting reach-avoid ...
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ARCH-COMP19 Category Report: Stochastic Modelling
... SDCPN modelling & Rare Event simulation Stochastically and Dynamically Coloured Petri Nets ( SDCPN ) [18, 19, 20, 21] have been developed in support of the compositional modelling of continuous-time ...
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A survey of generalized inverses and their use in stochastic modelling
... many stochastic processes the determination of stationary distributions is an important problem as it leads, in the case of aperiodic irreducible processes, to knowledge of the limiting ...of stochastic ...
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The stochastic modelling of kleptoparasitism using a Markov process
... exactly. Stochastic effects are more pronounced for small populations, but we see from Figure 3 that these effects can persist to quite large population sizes under certain ...
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Stochastic modelling of the growth of C. Acetobutylicum with missing data
... This study discussed the appropriateness of stochastic logistic equation as a model for the cell growth of C.Acetobutylicum in fermentation process. The approximate solution of the model was obtained using Euler- ...
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Stochastic modelling of the effects of interdependencies between critical infrastructure
... In this paper we present an approach to modelling CIs, taking dependencies into account. Using the models we follow 2 lines of inquiry. Firstly, we study how the strength of dependencies affects the occurrence and ...
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Stochastic modelling and maintenance optimization of systems subject to deterioration
... Finally, in the last section, using Marked point process see Aven and Jensen 4, with ,the same approa~h as Chapter 4 a new decision model for maintenance scheduling deteriorating systems[r] ...
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Stochastic Modelling of the Banking Sector of the Nigerian Stock Market
... Modelling and statistical analysis of financial time series analysis and its applications in engineering, physical sciences as well as earth sciences has often been based on the second- order properties of the ...
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Cancer drug therapy and stochastic modelling of “nano motors”
... Controlled inhibition of kinesin motor proteins is highly desired in the field of oncology. Among other interventions, the selective Eg5 competitive and allosteric inhibitors is the most successful targeted ...
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Cancer drug therapy and stochastic modelling of “nano motors”
... that the stochastic modeling of the dynamical behavior of motor proteins can help predict the outcomes of cancer drug therapy. The inhibition of Eg5 motor protein, a key mitotic kinesin motor protein involved in ...
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Evaluation of the Stochastic Modelling on Options
... 2464 | P a g e 2008, Ciprian Necula [10] obtained an explicit fractional Black-Scholes formula for the price of an option by using Fourier transform. During the past decades, much attention has been drawn to the constant ...
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Stochastic modelling of muscle recruitment during activity
... Samples of physiologically 219 plausible muscle forces were generated using METABOLICA by constraining muscle forces 220 within the calculated force range for selected muscles and betwee[r] ...
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Evaluation of Manager’s Performance through Stochastic Modelling
... The paradigms of Decision making procedures have transformed from the conventional methods of Logical and Artistic orientation to Scientific and Technological approaches. Traditionally, the decision making is con- ...
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