Results 301 to 310 of about 13,556,907 (351)
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IEEE Transactions on Geoscience and Remote Sensing, 2022
The proper use of distributed scatterer (DS) can improve both the density and quality of synthetic aperture radar (SAR) interferometry (InSAR) measurements.
Chisheng Wang +8 more
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The proper use of distributed scatterer (DS) can improve both the density and quality of synthetic aperture radar (SAR) interferometry (InSAR) measurements.
Chisheng Wang +8 more
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IEEE transactions on fuzzy systems, 2021
Due to the complexity of the real world, effective consideration of the ambiguity and reliability of information is a challenge that must be addressed by the correct decision of the expert system.
Ye Tian +3 more
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Due to the complexity of the real world, effective consideration of the ambiguity and reliability of information is a challenge that must be addressed by the correct decision of the expert system.
Ye Tian +3 more
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A Mutual Information‐Based Likelihood Function for Particle Filter Flood Extent Assimilation
Water Resources Research, 2021Accurate flood inundation forecasts have the potential to minimize socioeconomic losses, but uncertainties in inflows propagated from the precipitation forecasts result in large prediction errors.
A. Dasgupta +6 more
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Likelihood-enhanced fast rotation functions
Acta Crystallographica Section D Biological Crystallography, 2004Experiences with the molecular-replacement program Beast have shown that maximum-likelihood rotation targets are more sensitive to the correct orientation than traditional targets. However, this comes at a high computational cost: brute-force rotation searches can take hours or even days of computation time on current desktop computers.
Laurent C, Storoni +2 more
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An extended quasi-likelihood function
Biometrika, 1987The introduction by \textit{R. W. M. Wedderburn} [Biometrika 61, 439-447 (1974; Zbl 0292.62050)] of quasi-likelihood for general linear models greatly widened their scope by allowing the full distributional assumption about the random component in the models to be replaced by a much weaker assumption in which only the first and second moments were ...
Nelder, J. A., Pregibon, D.
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Penalized Likelihood Functional Regression
Statistica Sinica, 2014This paper studies the generalized functional linear model with a scalar response and a functional predictor. The response given the functional predictor is assumed to come from the distribution of an exponential family. A penalized likelihood approach is proposed to estimate the unknown intercept and coefficient function in the model.
Pang Du, Xiao Wang
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Classification by likelihood accordance functions
Communications in Statistics - Simulation and Computation, 2021In this paper, we introduce the likelihood accordance function (LA function for short), which is defined to characterize the accordance of a new observation to be classified with training samples.
Yuqi Long, Xingzhong Xu
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Quadratic Artificial Likelihood Functions Using Estimating Functions
Scandinavian Journal of Statistics, 2006Abstract. A vector‐valued estimating function, such as the quasi‐score, is typically not the gradient of any objective function. Consequently, an analogue of the likelihood function cannot be unambiguously defined by integrating the estimating function.
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The impact of stress on body function: A review
EXCLI Journal : Experimental and Clinical Sciences, 2017Any intrinsic or extrinsic stimulus that evokes a biological response is known as stress. The compensatory responses to these stresses are known as stress responses. Based on the type, timing and severity of the applied stimulus, stress can exert various
Habib Yaribeygi +4 more
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Assigning a Likelihood Function
2020As scientists, we want to know how to parameterise our models, make comparisons with other models, and quantify model predictive uncertainty. For all these purposes, measurement data are needed, but how exactly should we use the data? The answer is always the same: in the likelihood function.
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