Search Results - moment‐matching‐clustering methods

Combination of moment-matching, Cholesky and clustering methods to approximate discrete probability distribution of multiple wind farms by Li, Jinghua, Zhu, Dunlin

“… The proposed method, namely, the MMCC method, aims to achieve high approximation accuracy and computational efficiency by combining an improved moment-matching (MM…”
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Scenario tree generation approaches using K-means and LP moment matching methods by Xu, Daobao, Chen, Zhiping, Yang, Li

“… By simultaneously utilizing simulation, clustering, non-linear time series and moment matching skills, a sequential generation method and another new hybrid approach which can generate the whole…”
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Shadow removal based on clustering correction of illumination field for urban aerial remote sensing images by Luo, Shuang, Li, Huifang, Shen, Huanfeng

“… The land surface types are considered to correct the distribution of the illumination field based on the clustering moment matching method…”
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Vine copula‐based scenario tree generation approaches for portfolio optimization by He, Xiaolei, Zhang, Weiguo

“… In this paper, we design a new scenario generation method by combining the GARCH‐type model and vine copula model to properly reflect these complex dependence patterns in multiple assets in a flexible way. A multi…”
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A Hybrid Approach for Simplification Using Logarithmic Clustering and Moments Matching by Vishwakarma, C B, Sharma, Namrta

“…A simplification method is suggested in this paper to simplify a large-scale dynamic system using logarithmic pole clustering and moments matching using Pade approximations…”
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Latent Dirichlet Co-Clustering by Shafiei, M.M., Milios, E.E.

“… We present efficient approximate inference techniques based on Markov Chain Monte Carlo method and a moment-matching algorithm for empirical Bayes parameter estimation…”
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New methods for estimating/forecasting link bandwidths in 802.11b WLANs by Muthuswamy, S., Marsic, I., Annamalai, A.

“…) and method of moments matching (MM) for the prediction problem. A trade off between the complexity and the accuracy of the estimation/prediction algorithms is discussed…”
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