Results 11 to 20 of about 1,541,689 (245)
Robust Radio Interferometric Calibration Using the t-Distribution [PDF]
, 2013 A major stage of radio interferometric data processing is calibration or the estimation of systematic errors in the data and the correction for such errors.
Kazemi, S., Yatawatta, S.
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Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model [PDF]
, 2018 Bayesian calibration of computer models tunes unknown input parameters by comparing outputs with observations. For model outputs that are distributed over space, this becomes computationally expensive because of the output size.
Alexander M. J. +6 more
core +2 more sources
Italian Journal of Animal Science, 2021 The aim of this study was to develop near-infrared spectroscopy (NIRS) prediction models for the estimation of chemical components and the fibre undegradable fractions (uNDF) of hay-based total mixed rations (TMR).
Giovanni Buonaiuto +6 more
doaj +1 more source
Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era [PDF]
, 2015 We present a new frequency-domain phenomenological model of the gravitational-wave signal from the inspiral, merger and ringdown of non-precessing (aligned-spin) black-hole binaries.
Bohé, Alejandro +6 more
core +2 more sources
Sensors, 2020 The performance of camera-based polarization sensors largely depends on the estimated model parameters obtained through calibration. Limited by manufacturing processes, the low extinction ratio and inconsistency of the polarizer can reduce the ...
Haonan Ren +4 more
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Financial model calibration using consistency hints [PDF]
, 2001 We introduce a technique for forcing the calibration of a financial model to produce valid parameters. The technique is based on learning from hints. It converts simple curve fitting into genuine calibration, where broad conclusions can be inferred from ...
Abu-Mostafa, Yaser S.
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An Empirical Atmospheric Density Calibration Model Based on Long Short-Term Memory Neural Network
Atmosphere, 2021 The accuracy of the atmospheric mass density is one of the most important factors affecting the orbital precision of spacecraft at low Earth orbits (LEO). Although there are a number of empirical density models available to use in the orbit determination
Yan Zhang +3 more
doaj +1 more source
, 2013 We propose notions of calibration for probabilistic forecasts of general multivariate quantities. Probabilistic copula calibration is a natural analogue of probabilistic calibration in the univariate setting.
Gneiting, Tilmann, Ziegel, Johanna F.
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Efficient methods of automatic calibration for rainfall-runoff modelling in the Floreon+ system [PDF]
, 2017 Calibration of rainfall-runoff model parameters is an inseparable part of hydrological simulations. To achieve more accurate results of these simulations, it is necessary to implement an efficient calibration method that provides sufficient refinement of
Kuchař, Štěpán +5 more
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Scandinavian Journal of Work, Environment & Health, 2020 OBJECTIVE: Emerging evidence suggests that excessive sitting has negative health effects. However, this evidence largely relies on research using self-reported sitting time, which is known to be biased.
Pieter Coenen +3 more
doaj +1 more source