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Precise estimation of shell model energy by second order extrapolation method [PDF]
Phys.Rev. C67 (2003) 041301, 2003 A second order extrapolation method is presented for shell model calculations, where shell model energies of truncated spaces are well described as a function of energy variance by quadratic curves and exact shell model energies can be obtained by the ...
A. Petrovici +20 more
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Baryon Mass Extrapolation [PDF]
Nuclear Physics B - Proceedings Supplements, 1999 Consideration of the analytical properties of pion-induced baryon self-energies leads to new functional forms for the extrapolation of light baryon masses.
Allton +7 more
core +6 more sources
Journal of Mathematical Analysis and Applications, 1961 AbstractA linear combination of m exponential functions (exponomial) is fitted to a time series, such as daily observations. The fitting is carried out over all past time by weighted least squares with an exponential weight factor. The resulting minimizing function could be continued into the future.
R. J. Duffin, Phillips Whidden
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Extrapolation and bubbles [PDF]
Journal of Financial Economics, 2018 Abstract We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals—an average of the asset’s past price changes and the asset’s degree of overvaluation—and “waver” over time in the relative weight they put on them.
Barberis, Nicholas +3 more
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Physical resurgent extrapolation [PDF]
Physics Letters B, 2020 11 pages, 8 ...
Ovidiu Costin, Gerald V. Dunne
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Proceedings of the Workshop on Generalization in the Age of Deep Learning, 2018 We argue that extrapolation to examples outside the training space will often be easier for models that capture global structures, rather than just maximise their local fit to the training data. We show that this is true for two popular models: the Decomposable Attention Model and word2vec.
Mitchell, Jeff +3 more
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Predictive Maintenance on the Machining Process and Machine Tool [PDF]
, 2020 This paper presents the process required to implement a data driven Predictive Maintenance (PdM) not only in the machine decision making, but also in data acquisition and processing.
Box +13 more
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Evidence, eminence and extrapolation [PDF]
Statistics in Medicine, 2016 A full independent drug development programme to demonstrate efficacy may not be ethical and/or feasible in small populations such as paediatric populations or orphan indications. Different levels of extrapolation from a larger population to smaller target populations are widely used for supporting decisions in this situation.
Gerald Hlavin +4 more
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Extrapolation is not the same as interpolation
Machine Learning, 2023 AbstractWe propose a new machine learning formulation designed specifically for extrapolation. The textbook way to apply machine learning to drug design is to learn a univariate function that when a drug (structure) is input, the function outputs a real number (the activity): f(drug) $$\rightarrow$$ → activity ...
Wang, Y, King, RD
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Multilevel Richardson-Romberg extrapolation [PDF]
, 2016 We propose and analyze a Multilevel Richardson-Romberg (MLRR) estimator which combines the higher order bias cancellation of the Multistep Richardson-Romberg method introduced in [Pa07] and the variance control resulting from the stratification ...
Lemaire, Vincent, Pagès, Gilles
core +3 more sources