A nonparametric approach to identifying a subset of forecasters that outperforms the simple average
Sign Up to like & getrecommendations! Published in 2017 at "Empirical Economics"
DOI: 10.1007/s00181-016-1152-y
Abstract: Empirical studies in the forecast combination literature have shown that it is notoriously difficult to improve upon the simple average despite the availability of optimal combination weights. In particular, historical performance-based combination approaches do not… read more here.
Keywords: simple average; nonparametric approach; approach identifying; upon simple ... See more keywords
A nonparametric approach for characterizing soil spatial variability based on cone penetration test data
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DOI: 10.1007/s10064-020-01976-8
Abstract: Probabilistic site characterization usually requires a parametric model such as the Gaussian random field to begin. This paper proposes a nonparametric approach to characterizing soil spatial variability based on the maximum entropy method. The finite-dimensional… read more here.
Keywords: soil; approach characterizing; nonparametric approach; spatial variability ... See more keywords
A Nonparametric Approach to Design Fixed-order Controllers for Systems with Constrained Input
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-017-0541-0
Abstract: This paper presents an approach for designing fixed-structure controllers for input-constrained linear systems using frequency domain data. In conventional control approaches, a plant model is needed to design a suitable controller that meets some user-specified… read more here.
Keywords: nonparametric approach; design fixed; control; approach design ... See more keywords
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2868097
Abstract: The area of anomaly detection has recently been expanded in the graph-based data. Anomalous vertices are often exhibited as a connected subgraph. Few works, however, have focused on connected anomalous subgraph detection because of the… read more here.
Keywords: approach uncovering; npgs statistics; graph; nonparametric approach ... See more keywords
Two-sample Kolmogorov-Smirnov test using a Bayesian nonparametric approach
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DOI: 10.3103/s1066530717030048
Abstract: In this paper, a Bayesian nonparametric approach to the two-sample problem is proposed. Given two samples $$\text{X} = {X_1}, \ldots ,{X_{m1}}\;\mathop {\text~}\limits^{i.i.d.} F$$X=X1,…,Xm1~i.i.d.F and $$Y = {Y_1}, \ldots ,{Y_{{m_2}}}\mathop {\text~}\limits^{i.i.d.} G$$Y=Y1,…,Ym2~i.i.d.G, with F and G… read more here.
Keywords: bayesian nonparametric; nonparametric approach; two sample; test ... See more keywords
A nonparametric approach for partial areas under ROC curves and ordinal dominance curves
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DOI: 10.5705/ss.2013.367
Abstract: The receiver operating characteristic (ROC) curve is a well-known measure of the performance of a classification method. Interest may only pertain to a specific region of the curve and, in this case, the partial area… read more here.
Keywords: approach partial; nonparametric approach; partial areas; ordinal dominance ... See more keywords