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We develop a profit-maximization model to jointly obtain optimal policies for the product quality level, price and the return policy over time.
Here we propose to apply a hierarchical Bayesian change-point model to jointly study the features of time series from multiple biomarkers.
We develop a profit maximization model to jointly obtain optimal polices for return policy and modularity level in terms of certain market reaction parameters.
Here, we develop a hierarchical Bayesian model (HBM -based MBLRP model to jointly estimate parameters across weatHBM -basedns and explicitly consider the covariance and uncertainty through a Bayesian fraMBLRPk.
Focusing on service quality improvement and energy consumption reduction in an urban rail transit network, this paper proposes a multi-objective programming model to jointly optimize timetables through considering total passenger trip time and operational energy consumption.
In the prospect of implementing new techniques and processes, this study can serve as a model to jointly estimate and adjust every step of the chosen DNA analysis process.
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We have adopted the Bayesian modeling framework to jointly detect and estimate signal resonances.
To this end, we integrate spatially explicit economic and biophysical models to jointly optimize agricultural profit (sugarcane production and cattle ranching), biodiversity (bird and mammal species), and freshwater quality (nitrogen, phosphorus, and sediment retention) in the Brazilian Cerrado.
LOCUS [8], ClassCut [9], and Arora et al. [10] all take advantage of the objects' inherent geometric models to jointly extract the foreground objects.
Second, we could use these models to jointly detect outbreak signatures across large spatial regions.
One strategy for multi-locus modeling is to jointly model the effects all SNPs within a given gene (eg, multivariable logistic regression models).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com