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Stochastic modeling to represent wind power generation and demand in electric power system based on real data
(Elsevier, 2016)
A methodology to model two types of random perturbation that affect the operation of electric power systems (EPS) are presented. The first uncertainty is wind power generation and is represented by a one-dimensional and ...
Modeling safety as a perceptual latent variable to assess cycling infrastructure
(Elsevier, 2018-05)
Perceived safety is a relevant construct that affects cyclists’ behavior. Nevertheless, this qualitative
attribute has not been adequately considered in infrastructure design preference models.
Even though the use of ...
Continuous Modeling of Metabolic Networks With Gene Regulation in Yeast and In Vivo Determination of Rate Parameters
(2012-09)
A continuous model of a metabolic network
including gene regulation to simulate metabolic fluxes during
batch cultivation of yeast Saccharomyces cerevisiae was
developed. The metabolic network includes reactions ...
Dispersal and extrapolation on the accuracy of temporal predictions from distribution models for the Darwin's frog
(Wiley, 2017)
Climate change is a major threat to biodiversity; the development of models that reliably predict its effects on species distributions is a priority for conservation biogeography. Two of the main issues for accurate temporal ...
Predictability limit of partially observed systems
(Nature, 2020)
Applications from finance to epidemiology and cyber-security require accurate forecasts of dynamic phenomena, which are often only partially observed. We demonstrate that a system's predictability degrades as a function ...
Integration of Disparate Data with Logratios of Conditional Probabilities
(2007)
Combining conditional probabilities based on logratios is considered and compared with other integration
models. Each data set is at first treated separately and merged with considering data source redundancies.
Permanence ...
Modelling the potential distribution of tree species on a national scale in colombia: application to palicourea angustifolia kunth and palicourea guianensis aubl.
(Caldasia, 2010)
The results in this study illustrate the methods of using the existing species' presentrecords and environmental data to produce a niche-based model based on Mahalanobis distances, and also to predict the distribution of ...
A Matching estimator based on a bilevel optimization problem
(Mit Press, 2015)
This paper proposes a novel matching estimator where neighbors
used and weights are endogenously determined by optimizing a covariate
balancing criterion. The estimator is based on finding, for each unit that
needs to ...
Addressing endogeneity in strategic urban mode choice models
(Springer, 2020)
Endogeneity is a potential anomaly in econometric models, which may cause inconsistent parameter estimates. Transport models are prone to this problem and applications that properly correct for it are scarce. This paper ...
A novel synthetic model of the glucose-insulin system for patient-wise inference of physiological parameters from small-size OGTT data
(Frontiers Media, 2020)
Existing mathematical models for the glucose-insulin (G-I) dynamics often involve variables that are not susceptible to direct measurement. Standard clinical tests for measuring G-I levels for diagnosing potential diseases ...