Results 261 to 270 of about 139,045 (317)

Stochastic Models for Phototaxis

Bulletin of Mathematical Biology, 2008
This work studies two mathematical models for describing the motion of phototactic bacteria, i.e., bacteria that move toward light. Based on experimental observations, we conjecture that the motion of the colony toward light depends on certain group dynamics. These group dynamics are hypothesized to be coordinated through an individual property of each
Levy, Doron, Requeijo, Tiago
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An Introduction to Stochastic Modeling.

Journal of the American Statistical Association, 1985
Stochastic Modeling. Probability Review. The Major Discrete Distributions. @rtant Continuous Distributions. Some Elementary Exercises. Useful Functions, Integrals, and Sums. Conditional Probability and Conditional Expectation: The Discrete Case. The Dice Game Craps. Random Sums. Conditioning on a Continuous Random Variable. Markov Chains: Introduction:
Martin Crowder, H. M. Taylor, S. Karlin
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Stochastic Deformable Model

Procedings of the British Machine Vision Conference 2005, 2005
Deformable or active contour, and surface models are powerful image segmentation techniques. We introduce a novel fast and robust bi-directional parametric deformable model which is able to segment regions of intricate shape in multi-modal greyscale images.
Ayman El-Baz, Aly A. Farag, Georgy L. Gimel'farb   +2 more
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Stochastic Structural Modeling

Mathematical Geology, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Holden, Lars, Mostad, Petter, Nielsen, Bjørn Fredrik, Gjerde, Jon, Townsend, Chris, Ottesen, Signe   +5 more
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A Stochastic Model for Auditing

The Journal of the Operational Research Society, 1992
Auditing is based on random sampling from the records of a company. This paper considers a Bayesian model for determining the sample sizes by finding a balance between the cost of sampling and the risk of leaving major faults undiscovered. It leads to a dynamic programming problem which involves substantial computations, but a slightly different ...
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A stochastic model of hormesis

Mathematical Biosciences, 1993
In order to describe the life-prolonging effect of some agents that are harmful at higher doses, ionizing radiations in particular, a stochastic model is developed in terms of accumulation and progression of intracellular lesions caused by the environment and by the agent itself.
Yakovlev, Andrej Yu., Tsodikov, Alexander D., Bass, Ludvik   +2 more
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Stochastic Model Checking with Stochastic Comparison

2005
This paper presents a stochastic comparison based method to check state formulas defined over Discrete Time Markov Reward Models. High-level specifications like stochastic Petri nets, Stochastic Automata Networks, Stochastic Process Algebras have been developed to construct large Markov models.
Nihal Pekergin, Sana Younès
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A Stochastic Model for Bidding

Journal of the Operational Research Society, 1978
Competitive bidding situations involve considering a multiplicity of factors. Organizations must be able to weigh the relative probability of potential projects based on resource usage, project duration and competitor actions to decide which of many possible bids to submit.
Knode, Charles S., Swanson, Lloyd A.
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Stochastic modelling of intermittency

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
Recently, methods have been developed to model low-dimensional chaotic systems in terms of stochastic differential equations. We tested such methods in an electronic circuit experiment. We aimed to obtain reliable drift and diffusion coefficients even without a pronounced time-scale separation of the chaotic dynamics.
Thomas, Stemler, Johannes P, Werner, Hartmut, Benner, Wolfram, Just   +3 more
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Optimization in stochastic models

International Journal of Computer Mathematics, 1964
Suppose we are given a random process depending on one or more parameters x, y, . . . . and that we can simulate this process on a computer to obtain independent realizations of it. Suppose further that some function, whose value for each realization is a random variable {(x, y, . . .
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