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1“...We investigate the choice of the bandwidth for the regression discontinuity estimator. We focus on estimation by local linear regression, which was shown to...”
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2by Xin Huang Liangpei Zhang Published in IEEE transactions on geoscience and remote sensing (01.12.2008)“...In this paper, an adaptive mean-shift (MS) analysis framework is proposed for object extraction and classification of hyperspectral imagery over urban areas...”
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3by Gijbels, Irène Karim, Rezaul Verhasselt, Anneleen Published in Computational statistics & data analysis (01.05.2021)“...Quantile regression is an important tool in data analysis. Linear regression, or more generally, parametric quantile regression imposes often too restrictive...”
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4“...We present a new adaptive kernel density estimator based on linear diffusion processes. The proposed estimator builds on existing ideas for adaptive smoothing...”
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7by Tenreiro, Carlos Published in Journal of statistical computation and simulation (11.12.2020)“...In this paper we propose a new class of Hermite series-based direct plug-in bandwidth selectors for kernel density estimation and we describe their asymptotic...”
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8by Amorino, Chiara Gloter, Arnaud Published in Journal of statistical planning and inference (01.07.2021)“...We consider the solution X=(Xt)t≥0 of a multivariate stochastic differential equation with Levy-type jumps and with unique invariant probability measure with...”
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9“...Highly accurate short-term power load forecasting (STLF) is fundamental to the success of reducing the risk when making power system planning and operational...”
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10by Rakshit, Suman Baddeley, Adrian Stefanova, Katia Reeves, Karyn Chen, Kefei Cao, Zhanglong Evans, Fiona Gibberd, Mark Published in Field crops research (15.09.2020)“...With increasing interest in on-farm experiments, there is a pressing need to develop rigorous statistical methods for analysing these experiments. The adoption...”
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11“...We propose a new bandwidth selection method for kernel estimators of spatial point process intensity functions. The method is based on an optimality criterion...”
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12by Chen, Shurui Feng, Yongjiu Tong, Xiaohua Liu, Song Xie, Huan Gao, Chen Lei, Zhenkun Published in The Science of the total environment (10.04.2020)“...Driven by increasing urban demand, spatially-varying urban expansion has led to significant ecosystem degradation in China and elsewhere. Spatial...”
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13“...The significance of gradient estimates in nonparametric regression cannot be neglected as it is a critical process for executing marginal effect in empirical...”
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14“...Background Maps of disease rates produced without careful consideration of the underlying population distribution may be unreliable due to the well-known small...”
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15“...There is strong evidence of structural changes in macroeconomic time series, and the forecasting performance is often sensitive to the choice of estimation...”
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16by Wang, Yingguang Published in Renewable energy (01.12.2020)“...This paper proposes a novel environmental contour line method based on measured ocean wave data for predicting the long-term extreme wave conditions. For...”
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17“...Estimating the hazard function of customer patience time has become a necessary component of effective operational planning such as workforce staffing and...”
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18by Pham Ngoc, Thanh Mai Published in Journal of multivariate analysis (01.09.2019)“...This paper considers nonparametric density estimation with directional data. A new rule is proposed for bandwidth selection for kernel density estimation. The...”
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19“...There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or...”
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20“...In arenas of application including environmental science, economics, and medicine, it is increasingly common to consider time series of curves or functions...”