Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 113 for “"stochastic modeling"”.
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Stochastic modeling in computational electromagnetics
… dimensionality challenge associated with certain stochastic problems, defined in terms of correlated random variables, is alleviated with a random-space dimensionality reduction technique that, in combination with an a-priori sensitivity assessment, results in an accurate technique for the …
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Stochastic modeling of seafloor morphology
Thesis (Ph. D.)--Joint Program in Oceanography (Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences; and the Woods Hole Oceanographic Institution), June 1990.
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Discrete Stochastic Modeling of Ion Channels
Kernel representations are obtained for the concentration and flux away from equilibrium, where the kernel functions have a probabilistic interpretation. This is done in a discrete space model and also in its diffusion limit. In particular, the kernel representation is given for the flux at a …
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Stochastic modeling of biological sequence evolution
Markov models of sequence evolution are a fundamental building block for making inferences in biological research. This thesis reviews several major techniques developed to estimate parameters of Markov models of sequence evolution and presents a new approach for evaluating and comparing estimation …
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Stochastic modeling of rock fracture geometry
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1993.
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Stochastic Modeling and Simulations of Biological Transport
… protein's mechanochemical coupling we have used stochastic modeling based on discrete-state chemical kinetic model. Such models enable us to (1) resolve the contradiction between experimental observations on heterodimeric kinesins and highly popular hand-over-hand mechanism, (2) take into account …
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Stochastic modeling of nonisothermal antisolvent crystallization processes
In this Thesis a stochastic approach to model antisolvent crystallization processes is addressed. The motivations to choice a stochastic approach instead of a population balance modeling has been developed to find a simple and an alternative way to describe the evolution of the Crystal Size …
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Stochastic Modeling of Micro-Electromechanical Systems (Mems)
In the final part, a data-driven stochastic collocation approach is presented, which seeks to characterize uncertain input parameters based on available experimental information. This approach models the uncertain parameters as independent random variables, for which the distributions are estimated …
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Spatial Stochastic Modeling of the ErbB Receptor Family
… we develop, validate, and implement a spatial stochastic model to study these receptors and uncover how their kinetics and dynamics as well as the membrane landscape come together to impact erbB activation. We start by focusing on erbB1. Single particle tracking experiments show that receptor …
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Stochastic modeling and optimization of petroleum exploration portfolios
… This study created a workflow that combines the stochastic geological models for prospects’ risks and volumetrics that can then be used in tandem with the rank and cut, the efficient frontier and the portfolio filtering selection methods in order to suggest portfolio optimization methods for …
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Stochastic modeling and uncertainty quantification in microelectromechanical systems
… or uncertainties can be represented by stochastic variables which perturb the deterministic behaviour of the device about the nominal value for which it was designed. The UQ process consists of identifying the relevant uncertain parameters, assigning appropriate stochastic models to them …
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Stochastic modeling and control of airport surface traffic
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Three-dimensional stochastic modeling of rock fracture systems
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995.
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Stochastic Modeling and Simulation of Multiscale Biochemical Systems
Numerous challenges arise in modeling and simulation as biochemical networks are discovered with increasing complexities and unknown mechanisms. With the improvement in experimental techniques, biologists are able to quantify genes and proteins and their dynamics in a single cell, which calls for …
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Stochastic modeling of inducible logical gates in Escherichia coli
In this work, a systematic approach to the modeling of synthetic biological systems, with a focus on gene regulatory networks, is presented. We extend a previous study of a logical AND gate system by observing the effect of individual components of this system on its functionality using …
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Stochastic modeling of Karlotoxin's influence on prey
… density distribution under the Goldstein-Kac modeling framework with different assumptions on their relative speed in 1-D, with either the predator being stationary or swimming at a constant speed. When the predator is stationary, we fully solve the prey's density distribution for all times, …
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Geologic and stochastic modeling of fracture systems in rocks
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1998.
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