Results 11 to 20 of about 1,053,925 (307)
WEIGHTED‐AVERAGE LEAST SQUARES (WALS): A SURVEY [PDF]
Journal of Economic Surveys, 2014 AbstractModel averaging has become a popular method of estimation, following increasing evidence that model selection and estimation should be treated as one joint procedure. Weighted‐average least squares (WALS) is a recent model‐average approach, which takes an intermediate position between frequentist and Bayesian methods, allows a credible ...
Magnus, Jan R., De Luca, Giuseppe
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Improving weighted least squares inference [PDF]
Econometrics and Statistics, 2016 In the presence of conditional heteroskedasticity, inference about the coefficients in a linear regression model these days is typically based on the ordinary least squares estimator in conjunction with using heteroskedasticity consistent standard errors. Similarly, even when the true form of heteroskedasticity is unknown, heteroskedasticity consistent
DiCiccio, Cyrus J +2 more
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Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares [PDF]
SensorsHigh-precision extraction of mangrove areas is a crucial prerequisite for estimating mangrove area as well as for regional planning and ecological protection.
Yongze Li +4 more
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On Weighted Structured Total Least Squares [PDF]
, 2006 In this contribution we extend our previous results on the structured total least squares problem to the case of weighted cost functions. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size when the weight matrix is banded with bandwidth that is independent of the sample size.
Markovsky, Ivan, Van Huffel, Sabine
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IFAC-PapersOnLineSubspace identification methods (SIMs) have proven very powerful for estimating linear state-space models. To overcome the deficiencies of classical SIMs, a significant number of algorithms has appeared over the last two decades, where most of them involve a common intermediate step, that is to estimate the range space of the extended observability ...
He, Jiabao +2 more
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Determination of Lateral Modulation Apodization Functions Using a Regularized, Weighted Least Squares Estimation [PDF]
International Journal of Biomedical Imaging, 2010 Recently, work in this group has focused on the lateral cosine modulation method (LCM) which can be used for next-generation ultrasound (US) echo imaging and tissue displacement vector/strain tensor measurements (blood, soft tissues, etc.). For instance,
Chikayoshi Sumi
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Multivariate Locally Weighted Least Squares Regression
The Annals of Statistics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruppert, D., Wand, M. P.
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Distributionally weighted least squares in structural equation modeling. [PDF]
Psychological methods, 2021 n real data analysis with structural equation modeling, data are unlikely to be exactly normally distributed. If we ignore the non-normality reality, the parameter estimates, standard error estimates, and model fit statistics from normal theory based ...
H. Du, P. Bentler
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DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares [PDF]
European Conference on Computer Vision, 2020 We propose a surface fitting method for unstructured 3D point clouds. This method, called DeepFit, incorporates a neural network to learn point-wise weights for weighted least squares polynomial surface fitting.
Yizhak Ben-Shabat, Stephen Gould
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Social network user geolocating method based on weighted least squares
网络与信息安全学报, 2022 When providing location-based dating and other location-based services, social networks will confuse the displayed user distance text to protect the user’s location privacy.In order to verify whether the current location confusion mechanism adopted by ...
Wenqi SHI, Xiangyang LUO, Jiashan GUO
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