Stochastic models for an open biochemical system
نویسندگان
چکیده
منابع مشابه
Stochastic models for an open biochemical system.
This paper uses the theory of Markov processes to derive stochastic models for a single open biochemical system at steady state under 3 sets of assumptions. The system is a one substrate, one product reaction. Each set of assumptions re:mlts in a separate solution for the probability functions. A system of linear equations in the probability function as well as an equivalent differential equati...
متن کاملan investigation about the appropriate stochastic modeling framework for agricultural insurance pricing
با توجه به اینکه بیمه محصولات کشاورزی در ایران بیشتر جنبه ای حمایتی دارد و خسارات گزارش شده عموما بیش از حق بیمه های دریافت شده است، در این پایان نامه به جهت تعیین قیمت بیمه محصولات کشاورزی (گندم دیم) از فرآیندهای نوفه شلیک به عنوان مدلی مناسب استفاده شده است. بر اساس داده های صندوق بیمه کشاورزی از خسارات اعلام شده در سال زراعی 1388-1389 گندم دیم، در این پایان نامه حق بیمه خالص و ناخالص این محص...
New directions for stochastic open economy models
The paper develops a simple stochastic new open economy macroeconomic model based on sticky nominal wages. Explicit solution of the wage-setting problem under uncertainty allows one to analyze the effects of the monetary regime on welfare, expected output, and the expected terms of trade. Despite the potential interplay between imperfections due to sticky wages and monopoly, the optimal monetar...
متن کاملBayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we explore the Bayesian estimation of stochastic kinetic rate constants governing dynamic models of intracellular processes. The underlying model is replaced by a diffusion approximation where a noise term represents intrinsi...
متن کاملType-dependent irreversible stochastic spin models for biochemical reaction networks
We describe an approach to model biochemical reaction networks at the level of promotion-inhibition circuitry through a class of stochastic spin models that depart from the usual chemical kinetics setup and includes spatial and temporal density fluctuations in a most natural way. A particular but otherwise generally applicable choice for the microscopic transition rates of the models also makes...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biosystems
سال: 1978
ISSN: 0303-2647
DOI: 10.1016/0303-2647(78)90015-1