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gidm: A command for generalized inflated discrete models Journal article
Stata Journal, 2019,Volume: 19,Issue: 3,Page: 698-718
Authors:  Xia,Yiwei;  Zhou,Yisu;  Cai,Tianji
Favorite | View/Download:3/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2020/11/06
Generalized Inflated Discrete Models  Gidm  Maximum Likelihood  Multiple Inflated Values  St0574  
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:110/0 | TC[WOS]:4 TC[Scopus]:4 | Submit date:2018/10/30
ARMA  Maximum likelihood  Bias  
Measuring the perception of quality physical education in Latin American professionals Medindo a percepção de profissionais latino-americanos sobre a qualidade da educação física Midiendo la percepción de profesionales latinoamericanos acerca de la Calidad de la Educación Física Journal article
Revista Brasileira de Ciencias do Esporte, 2018,Volume: 40,Issue: 4,Page: 361-369
Authors:  Ho,Walter;  Ahmed,Md Dilsad;  D'Amico,Rosa Lopez de;  Ramos,Argenira;  Ferreira,Eliana Lucia;  Ferreira,Maria Beatriz Rocha;  Amaral,Silvia Cristina Franco;  Gurrola,Oswaldo Ceballos;  Diaz,Gladys Bequer;  Ramos,Adelaida;  Hoyos,Luz Amelia;  Jasmin,Angela;  Duque,Andrea Rivera;  Niekerk,Rudolph Leon Van;  Huang,Fan;  Wong,Beatriz
Favorite | View/Download:17/0 | TC[WOS]:0 TC[Scopus]:3 | Submit date:2019/08/14
Core value of physical education  Exploratory factor analysis  Maximum likelihood method  Perception and framework in physical education  Quality Physical Education  
Generalized Inflated Discrete Models: A Strategy to Work with Multimodal Discrete Distributions Journal article
Sociological Methods & Research, 2018
Authors:  Cai, Tianji;  Xia, Yiwei;  Zhou, Yisu
Favorite | View/Download:19/0 | TC[WOS]:4 TC[Scopus]:6 | Submit date:2019/08/07
Multiple Data Inflations  Generalized Inflated Discrete Models  Maximum Likelihood Estimator  Probabilities Of Inflation  Monte Carlo Experiments  
Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition Journal article
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2017,Volume: 31,Issue: 5
Authors:  Mu, He-Qing;  Yuen, Ka-Veng
Favorite | View/Download:51/0 | TC[WOS]:9 TC[Scopus]:10 | Submit date:2018/10/30
Bayesian learning  Strong ground motion  Maximum likelihood  Model class selection  Uncertainty quantification  
Outlier detection and robust regression for correlated data Journal article
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017,Volume: 313,Page: 632-646
Authors:  Yuen, Ka-Veng;  Ortiz, Gilberto A.
Favorite | View/Download:25/0 | TC[WOS]:16 TC[Scopus]:19 | Submit date:2018/10/30
Bayesian inference  Correlated noise  Maximum likelihood  Model updating  Outlier detection  
A kernel logistic neural network based on restricted Boltzmann machine Conference paper
2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2016
Authors:  Lv Q.;  Li H.;  Chen C.L.P.;  Wang D.;  Song W.;  Lin H.
Favorite | View/Download:7/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date:2019/02/11
kernel logistic neural network  maximum likelihood estimate  principal component analysis  restricted Boltzmann machine  ridge regularization  
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:13/0 | TC[WOS]:3 TC[Scopus]:3 | Submit date:2019/02/11
Bayesian Estimator  Learning Automata  Maximum Likelihood Estimator  Ε-optimal  
Analysis and Design of Multiple-Antenna Cognitive Radios with Multiple Primary User Signals Journal article
IEEE Transactions on Signal Processing, 2015,Volume: 63,Issue: 18,Page: 4925-4939
Authors:  Morales-Jimenez D.;  Louie R.H.Y.;  McKay M.R.;  Chen Y.
Favorite | View/Download:16/0 | TC[WOS]:11 TC[Scopus]:11 | Submit date:2019/02/12
Cognitive Radio  Generalized Maximum Likelihood Ratio Test  Signal Detection  Spectrum Sensing  Sphericity Test  
An application of linear mixed effects model to steganography detection Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Authors:  Chen M.-C.;  Roy A.;  Rodriguez B.M.;  Agaian S.S.;  Chen C.L.P.
Favorite | View/Download:11/0 | TC[WOS]:0 TC[Scopus]:2 | Submit date:2019/02/11
Feature generation  Linear mixed effects model  Maximum likelihood estimates  Steganalysis  Steganography