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在“Elsevier电子期刊”中，命中：5,237条，耗时：0.0679958 秒

在所有数据库中总计命中：30,221条

1.Bayesian quantile regression using random B-spline series prior

作者：Priyam Das^a ; ^b ; ^{pdas@ncsu.edu} ; Subhashis Ghosal^a

关键词：B-spline prior ; Gaussian process ; Quantile regression ; Atlantic Hurricane data ; US population data

刊名：Computational Statistics & Data Analysis

出版年：2017

2.Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration

作者：Han Lin Shang ; ^{hanlin.shang@anu.edu.au}

关键词：Block moving ; Dynamic updating ; Functional principal component regression ; Functional linear regression ; Maximum entropy bootstrap ; VAR

刊名：Econometrics and Statistics

出版年：2017

3.Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer

作者：Ranjay Shrestha^a ; ^b ; Liping Di^a ; ^b ; ^ldi@gmu.edu ; Eugene G. Yu^a ; Lingjun Kang^a ; ^b ; Yuan-zheng SHAO^c ; Yu-qi BAI^d

关键词：NDVI ; MODIS ; agriculture ; corn yield ; remote sensing ; regression

刊名：Journal of Integrative Agriculture

出版年：2017

4.Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method

作者：Anyu Cheng^a ; Xiao Jiang^a ; Yongfu Li^a ; ^{laf1212@163.com" class="auth_mail" title="E-mail the corresponding author} ; Chao Zhang^b ; Hao Zhu^a

关键词：Traffic flow ; Chaos theory ; Bayesian estimation theory ; Support vector regression ; Phase space reconstruction ; Multiple measures

刊名：Physica A: Statistical Mechanics and its Applications

出版年：2017

5.Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data

作者：Jian-bin TAO^a ; ^b ; ^{taojb@mail.ccnu.edu.cn} ; Wen-bin WU^a ; ^b ; ^{wuwenbin@caas.cn} ; Yong ZHOU^b ; Yu WANG^b ; Yan JIANG^b

关键词：time-series MODIS data ; phenological feature ; peak before wintering ; winter wheat mapping

刊名：Journal of Integrative Agriculture

出版年：2017

6.Dynamic portfolio choices by simulation-and-regression: Revisiting the issue of value function vs portfolio weight recursions

作者：Michel Denault^a ; ^b ; ^{michel.denault@hec.ca} ; Jean-Guy Simonato^c ; ^{jean-guy.simonato@hec.ca}

关键词：Dynamic portfolio choices ; Portfolio optimization ; Approximate Dynamic Programming ; Least-squares Monte Carlo ; Simulation-and-regression

刊名：Computers & Operations Research

出版年：2017

7.Combined use of land use regression and BenMAP for estimating public health benefits of reducing PM_2.5 in Tianjin, China

作者：Li Chen^a ; Mengshuang Shi^a ; Suhuan Li^a ; Zhipeng Bai^a ; ^b ; ^{baizp@craes.org.cn} ; Zhongliang Wang^a ; ^{zhongliang_wang@163.com}

关键词：Land use regression ; Public health benefit ; BenMAP ; PM2.5 ; Tianjin

刊名：Atmospheric Environment

出版年：2017

8.Simulation of groundwater level variations using wavelet combined with neural network, linear regression and support vector machine

作者：Hadi Ebrahimi ; ^{hadi_e1360@yahoo.com} ; Taher Rajaee ^{taher_rajaee@yahoo.com} ^{trajaee@qom.ac.ir}

关键词：Time delay neural networks ; Wavelet ; Iran ; Multi linear regression ; Groundwater level ; Support vector machine

刊名：Global and Planetary Change

出版年：2017

9.Anomaly detection based on uncertainty fusion for univariate monitoring series

作者：Jingyue Pang ^{jypang@hit.edu.cn} ; Datong Liu ; ^{liudatong@hit.edu.cn} ; Yu Peng ^{pengyu@hit.edu.cn} ; Xiyuan Peng ^{pxy@hit.edu.cn}

关键词：Anomaly detection ; Monitoring data series ; Gaussian Process Regression ; Model uncertainty ; k-Fold cross validation

刊名：Measurement

出版年：2017

10.Data-based models for fatigue reliability of orthotropic steel bridge decks based on temperature, traffic and strain monitoring

作者：Isaac Farreras-Alcover^a ; ^ifal@cowi.dk ; Marios K. Chryssanthopoulos^b ; ^{mkchry@surrey.ac.uk} ; Jacob E. Andersen^a ; ^jca@cowi.dk

关键词：Fatigue ; Steel bridges ; Orthotropic steel decks ; Structural Health Monitoring ; Regression analysis ; Time-series models ; Structural reliability ; Asset management

刊名：International Journal of Fatigue

出版年：2017

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