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A general result on the estimation bias of ARMA models Journal article
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2018,Volume: 197,Page: 107-125
Authors:  Bao, Yong
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
ARMA  Maximum likelihood  Bias  
Pseudonym inference in cooperative vehicular traffic scenarios Conference paper
2018 IEEE Conference on Communications and Network Security, CNS 2018
Authors:  Chu X.;  Ruan N.;  Li M.;  Jia W.
Favorite  |  View/Download:2/0  |  Submit date:2019/04/04
Location privacy  mix-zone  vehicle platoon  vehicular ad-hoc networks (VANETs)  
MODERATE DEVIATIONS AND NONPARAMETRIC INFERENCE FOR MONOTONE FUNCTIONS Journal article
ANNALS OF STATISTICS, 2018,Volume: 46,Issue: 3,Page: 1225-1254
Authors:  Gao, Fuqing;  Xiong, Jie;  Zhao, Xingqiu
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Grenander estimator  interval censored data  large deviations  moderate deviations  nonparametric MLE  self-normalized limit  strong approximation  Talagrand inequality  
Generalized Inflated Discrete Models: A Strategy to Work with Multimodal Discrete Distributions Journal article
Sociological Methods & Research, 2018
Authors:  Tianji Cai;  Yiwei Xia;  Yisu Zhou
Favorite  |  View/Download:2/0  |  Submit date:2019/08/07
Multiple Data Inflations  Generalized Inflated Discrete Models  Maximum Likelihood Estimator  Probabilities Of Inflation  Monte Carlo Experiments  
A new prospective for Learning Automata: A machine learning approach Journal article
Neurocomputing, 2016,Volume: 188,Page: 319-325
Authors:  Wen Jiang;  Bin Li;  Shenghong Li;  Yuanyan Tang;  Chun Lung Philip Chen
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Bayesian Estimator  Learning Automata  Maximum Likelihood Estimator  Ε-optimal  
Robust learning of mixture models and its application on trial pruning for EEG signal analysis Conference paper
New Frontiers in Applied Data Mining, Shenzhen, China, 24-27 May 2011
Authors:  Wang B.;  Wan F.;  Mak P.U.;  Mak P.I.;  Vai M.I.
Favorite  |  View/Download:7/0  |  Submit date:2018/12/24
Deterministic Annealing  Eeg Signals  Mixture Models  Robust Learning  Trial Pruning