Prediction model-based kernel density estimation when group membership is subject to missing

AStA Advances in Statistical Analysis ◽

10.1007/s10182-016-0283-y ◽

2016 ◽

Vol 101 (3) ◽

pp. 267-288 ◽

Author(s):

Hua He ◽

Wenjuan Wang ◽

Wan Tang

Keyword(s):

Prediction Model ◽

Density Estimation ◽

Kernel Density Estimation ◽

Group Membership ◽

Kernel Density ◽

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An air traffic prediction model based on kernel density estimation

2013 American Control Conference ◽

10.1109/acc.2013.6580831 ◽

2013 ◽

Author(s):

Yi Cao ◽

Lingsong Zhang ◽

Dengfeng Sun

Keyword(s):

Prediction Model ◽

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Air Traffic ◽

Traffic Prediction ◽

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A Saliency Detection Model Based on Local and Global Kernel Density Estimation

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24955-6_20 ◽

2011 ◽

pp. 164-171 ◽

Author(s):

Huiyun Jing ◽

Xin He ◽

Qi Han ◽

Xiamu Niu

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Saliency Detection ◽

Kernel Density ◽

Detection Model ◽

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Psychological Pharmacokinetics Model Based on Bayes Network with Optimal of Kernel Density Estimation of Prior Distribution

2008 2nd International Conference on Bioinformatics and Biomedical Engineering ◽

10.1109/icbbe.2008.249 ◽

2008 ◽

Author(s):

Hengqing Tong ◽

Hui Peng ◽

Jing Tang ◽

Zhao Xu

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Prior Distribution ◽

Kernel Density ◽

Model Based ◽

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Credit Scoring Model based on Kernel Density Estimation and Support Vector Machine for Group Feature Selection

2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) ◽

10.1109/icacci.2018.8554524 ◽

2018 ◽

Author(s):

Xingzhi Zhang ◽

Zhurong Zhou

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Density Estimation ◽

Kernel Density Estimation ◽

Credit Scoring ◽

Kernel Density ◽

Support Vector ◽

Scoring Model ◽

Model Based ◽

Credit Scoring Model

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A novel probabilistic short-term wind energy forecasting model based on an improved kernel density estimation

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2020.06.209 ◽

2020 ◽

Vol 45 (43) ◽

pp. 23791-23808

Author(s):

Jiansheng Guan ◽

Jie Lin ◽

JianJie Guan ◽

Elham Mokaramian

Keyword(s):

Wind Energy ◽

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Forecasting Model ◽

Energy Forecasting ◽

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Photovoltaic Output Power Probability Model Based on Adaptive Beta Kernel Density Estimation

DEStech Transactions on Engineering and Technology Research ◽

10.12783/dtetr/pmsms2018/24923 ◽

2018 ◽

Author(s):

PING ZHANG ◽

HONG ZHANG

Keyword(s):

Density Estimation ◽

Output Power ◽

Kernel Density Estimation ◽

Probability Model ◽

Kernel Density ◽

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Wind speed model based on kernel density estimation and its application in reliability assessment of generating systems

Journal of Modern Power Systems and Clean Energy ◽

10.1007/s40565-015-0172-5 ◽

2016 ◽

Vol 5 (2) ◽

pp. 220-227 ◽

Author(s):

Bo HU ◽

Yudun LI ◽

Hejun YANG ◽

He WANG

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Reliability Assessment ◽

Kernel Density ◽

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Doubly robust kernel density estimation when group membership is missing at random

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2019.09.010 ◽

2020 ◽

Vol 206 ◽

pp. 163-178

Author(s):

Chenguang Zhang ◽

Hua He ◽

Jian Li ◽

Wan Tang

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Group Membership ◽

Kernel Density ◽

Missing At Random ◽

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A novel seizure diagnostic model based on kernel density estimation and least squares support vector machine

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2017.12.005 ◽

2018 ◽

Vol 41 ◽

pp. 233-241 ◽

Author(s):

Mingyang Li ◽

Wanzhong Chen ◽

Tao Zhang

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Support Vector ◽

Diagnostic Model ◽

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Error Prediction of CMM Using a Hybrid Model Based on Neural Network Quantile Regression and Kernel Density Estimation

Journal of Physics Conference Series ◽

10.1088/1742-6596/1605/1/012102 ◽

2020 ◽

Vol 1605 ◽

pp. 012102

Author(s):

Haiting Wu ◽

Mei Zhang ◽

Guihua Li ◽

Haifeng Zhao ◽

Xiaoping Wu

Keyword(s):

Neural Network ◽

Quantile Regression ◽

Density Estimation ◽

Hybrid Model ◽

Kernel Density Estimation ◽

Kernel Density ◽

Error Prediction ◽

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