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This research aims to help mitigate this challenge by developing an estimation method using sinusoidal model to fit the typical pattern of seasonal bicycle demand.
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The experimental results validated that CPM can effectively identify gene-specific temporal segmentations by developing a boundary gene estimation scheme, and efficiently infer the potential cascade dynamics of biological processes by constructing a temporal block network.
Since it is not a typical regression problem, the Bayesian concept is adopted to develop an estimation method by elucidating the dynamic and uncertain nature of the environment-dependent stimuli with a proper choice of the probability distribution.
We supplemented limited primary cost data in these three areas by developing alternative estimation methods.
As part of a CEA of cervical cancer screening in five developing countries, we supplemented limited primary cost data by developing other estimation techniques for direct medical and non-medical costs associated with alternative screening approaches using one of three initial screening tests: simple visual screening, HPV DNA testing, and cervical cytology.
By developing tight bound estimations for varying parameters, we construct a set-valued map as the predicted family of future models.
The purpose of this paper is to contribute to the knowledge of coherent quantum estimation and control by developing further a non-commutative formulation of the quantum filter given by Belavkin in 1980s [3].
Inspired by their work, we develop an adaptive curvature estimation algorithm based on the wild bootstrap method [15, 39].
As we move towards developing a new model, we will have to consider the conflicting needs for simplicity and estimation - possibly by developing more than one model and testing which gives the more useful predictions.
Results: We developed a local model quality estimation method for membrane proteins ('QMEANBrane') by combining statistical potentials trained on membrane protein structures with a per-residue weighting scheme.
Teschenforff [ 23] developed an R package for ICA by using maximum likelihood estimation.
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