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Faculty of Science and Tech...
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FANG Kaitai
4
HE Ping
3
PAN Jianxin
1
PENG Xiaoling
1
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QU Bingqing
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SCIE
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resampling
3
Bootstrap
2
Representative points
2
representative points
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statistical simulation
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62E17
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Advances in Intelligent Sys...
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A new class of moment-constrained mean square error representative samples for continuous distributions
Journal article
Journal of Statistical Computation and Simulation,2025
Authors:
Li, Xinyang
;
He, Ping
;
Huang, Moyuan
;
Peng, Xiaoling
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View/Download:7/0
  |  
Submit date:2025/04/14
bivariate normal distribution
moment-constrained
MSE
numerical integration
Representative sample
resampling
The resampling method via representative points
Journal article
Statistical Papers,2024, volume: 65, issue: 6, pages: 3621-3649
Authors:
Xu, Longhao
;
Li, Yinan
;
Fang, Kaitai
Favorite
  |  
View/Download:3/0
  |  
Submit date:2024/09/04
62E17
62F40
Bootstrap
Confidence interval
Consistency
Distance between two distributions
Representative points
Resampling method
A Review of Representative Points of Statistical Distributions and Their Applications
Review
2023
Authors:
Fang, Kai Tai
;
Pan, Jianxin
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  |  
View/Download:8/0
  |  
Submit date:2023/09/21
approximation distribution
mean square error
quasi-Monte Carlo
representative points
resampling
statistical distribution
statistical simulation
Three kinds of discrete approximations of statistical multivariate distributions and their applications
Journal article
Journal of Multivariate Analysis,2022, volume: 188
Authors:
Yang, Jun
;
He, Ping
;
Fang, Kaitai
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View/Download:41/0
  |  
Submit date:2021/10/19
Bootstrap
k-means
Quasi-Monte Carlo method
Representative points
Resampling
Statistical simulation
Imbalanced classification: A paradigm-based review
Journal article
Statistical Analysis and Data Mining,2021, volume: 14, issue: 5, pages: 383-406
Authors:
Feng, Yang
;
Zhou, Min
;
Tong, Xin
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  |  
View/Download:8/0
  |  
Submit date:2021/10/19
binary classification
classical classification (CC) paradigm
cost-sensitive (CS) learning paradigm
imbalance ratio
imbalanced data
Neyman–Pearson (NP) paradigm
resampling methods
Modeling of Information Diffusion in Sina Weibo Based on Random Forest Classifier and SIR Model
Conference paper
Advances in Intelligent Systems and Computing, Kunming, PEOPLES R CHINA, July 20-22, 2019
Authors:
Zhang, Jianyi
;
He, Ping
;
Tsang, Ken K.T.
;
Deng, Yuhui
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  |  
View/Download:11/0
  |  
Submit date:2021/10/19
Information diffusion
Machine learning
Random Forest classifier
SIR model
SMOTE resampling
Social network
Content-based unsupervised segmentation of recurrent TV programs using grammatical inference
Journal article
Multimedia Tools and Applications,2017, volume: 76, issue: 21, pages: 22569-22597
Authors:
Qu, Bingqing
;
Vallet, Félicien
;
Carrive, Jean
;
Gravier, Guillaume
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  |  
View/Download:7/0
  |  
Submit date:2022/05/17
Experimental evaluations
Grammatical inference
Hierarchical clustering
Multimedia mining
Multiple sequence alignment
Practical applications
Uniform resampling
Video segmentation
Applications of the representative points in statistical simulations
Journal article
Science China Mathematics,2014, volume: 57, issue: 12, pages: 2609-2620
Authors:
Fang, Kaitai
;
Zhou, Min
;
Wang, Wen Jun
Adobe PDF(266Kb)
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View/Download:21/7
  |  
Submit date:2021/04/23
bootstrap
kernel density estimation
normal distribution
representative points
resampling
statistical simulation