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doi:10.1093/nar/gkp471 Stochastic noise in splicing machinery
, 2008
"... The number of known alternative human isoforms has been increasing steadily with the amount of available transcription data. To date, over 100 000 isoforms have been detected in EST libraries, and at least 75 % of human genes have at least one alternative isoform. In this paper, we propose that most ..."
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that most alternative splicing events are the result of noise in the splicing process. We show that the number of isoforms and their abundance can be predicted by a simple stochastic noise model that takes into account two factors: the number of introns in a gene and the expression level of a gene
Stochastic integrals in the plane
 Acta Math
, 1975
"... The work described here was done in collaboration with R. Cairoli; it will be published in full elsewhere. In that article, however, we treat integration with respect to arbitrary squareintegrable martingales, which requires the construction of some expensive machinery. In the present paper we will ..."
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Cited by 56 (1 self)
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The work described here was done in collaboration with R. Cairoli; it will be published in full elsewhere. In that article, however, we treat integration with respect to arbitrary squareintegrable martingales, which requires the construction of some expensive machinery. In the present paper we
Likelihood Ratio Gradient Estimation For Stochastic Recursions
 Communications of the ACM
, 1995
"... . In this paper, we develop mathematical machinery for verifying that a broad class of general state space Markov chains reacts smoothly to certain types of perturbations in the underlying transition structure. Our main result provides conditions under which the stationary probability measure of an ..."
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Cited by 77 (8 self)
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. In this paper, we develop mathematical machinery for verifying that a broad class of general state space Markov chains reacts smoothly to certain types of perturbations in the underlying transition structure. Our main result provides conditions under which the stationary probability measure
How to Write a Financial Contract
"... valuation semantics. First, we will show how to translate an arbitrary contract, written in our language, into a value process, together with a handful of operations over these processes. These processes correspond directly to the mathematical and stochastic machinery used by nancial experts. ..."
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Cited by 16 (0 self)
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valuation semantics. First, we will show how to translate an arbitrary contract, written in our language, into a value process, together with a handful of operations over these processes. These processes correspond directly to the mathematical and stochastic machinery used by nancial experts.
TR2009013: Generalized Gillespie Stochastic Simulation Algorithm and Chemical Master Equation Using Timing Machinery
, 2009
"... Generalized Gillespie stochastic simulation algorithm and chemical master equation using timing machinery ..."
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Generalized Gillespie stochastic simulation algorithm and chemical master equation using timing machinery
Farm Machinery Investment and the Tax Reform Act of 1986
 Journal of Agricultural and Resource Economics
, 1992
"... specifically examines how changes in marginal tax rates, depreciation schedules, and the investment tax credit altered the cost of capital and net investment in agriculture. A stochastic coefficients econometric methodology is used to estimate an investment function which is then used to simulate t ..."
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Cited by 1 (0 self)
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the effects of tax reform. Estimates indicated that relative to prior law, the Tax Reform Act will reduce the capital stock of farm machinery and equipment by nearly $4 billion. Key words: adjustment, investment, stochastic coefficients, tax reform. The Tax Reform Act of 1986 was the most comprehensive
Nucleic Acids Research Advance Access published June 22, 2009 Stochastic noise in splicing machinery
, 2008
"... The number of known alternative human isoforms has been increasing steadily with the amount of available transcription data. To date, over 100 000 isoforms have been detected in EST libraries, and at least 75 % of human genes have at least one alternative isoform. In this paper, we propose that most ..."
Abstract
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that most alternative splicing events are the result of noise in the splicing process. We show that the number of isoforms and their abundance can be predicted by a simple stochastic noise model that takes into account two factors: the number of introns in a gene and the expression level of a gene
Stochastic Complexity and Its Applications
 In Workshop on Model Uncertainty and Model Robustness. Online
"... Introduction One can make a strong case for that an unsurpassed model of any set of observations, generated by some physical machinery, is provided by the shortest program for a universal computer with which the data can be reproduced. Indeed, such a program must take advantage of all the constrain ..."
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Cited by 3 (0 self)
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Introduction One can make a strong case for that an unsurpassed model of any set of observations, generated by some physical machinery, is provided by the shortest program for a universal computer with which the data can be reproduced. Indeed, such a program must take advantage of all
MultiPeriod Corporate Failure Prediction with Stochastic Covariates
, 2004
"... We provide maximum likelihood estimators of term structures of conditional probabilities of bankruptcy over relatively long time horizons, incorporating the dynamics of firmspecific and macroeconomic covariates. We find evidence in the U.S. industrial machinery and instruments sector, based on ..."
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Cited by 38 (5 self)
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We provide maximum likelihood estimators of term structures of conditional probabilities of bankruptcy over relatively long time horizons, incorporating the dynamics of firmspecific and macroeconomic covariates. We find evidence in the U.S. industrial machinery and instruments sector, based
Modeling Integrated Cellular Machinery Using Hybrid PetriBoolean Networks
"... The behavior and phenotypic changes of cells are governed by a cellular circuitry that represents a set of biochemical reactions. Based on biological functions, this circuitry is divided into three types of networks, each encoding for a major biological process: signal transduction, transcription re ..."
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Cited by 1 (0 self)
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normally. Therefore, computational techniques for modeling integrated cellular machinery are needed. In this work, we propose an integrated hybrid model (IHM) that combines Petri nets and Boolean networks to model integrated cellular networks. Coupled with a stochastic simulation mechanism, the model
Results 1  10
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139