Hamparsum Bozdogan

The University of Tennessee, Knoxville, TN, United States 
"Hamparsum Bozdogan"
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Sun Y, Bozdogan H. (2020) Segmentation of High Dimensional Time-Series Data Using Mixture of Sparse Principal Component Regression Model with Information Complexity. Entropy (Basel, Switzerland). 22
Bae B, Liu Y, Han LD, et al. (2019) Spatio-temporal traffic queue detection for uninterrupted flows Transportation Research Part B-Methodological. 129: 20-34
Baek SH, Park DH, Bozdogan H. (2016) Hybrid kernel density estimation for discriminant analysis with information complexity and genetic algorithm Knowledge-Based Systems. 99: 79-91
Pamukçu E, Bozdogan H, Çalık S. (2015) A novel hybrid dimension reduction technique for undersized high dimensional gene expression data sets using information complexity criterion for cancer classification. Computational and Mathematical Methods in Medicine. 2015: 370640
Akbilgic O, Bozdogan H. (2015) A new supervised classification of credit approval data via the hybridized RBF neural network model using information complexity Studies in Classification, Data Analysis, and Knowledge Organization. 48: 13-27
Akbilgic O, Bozdogan H, Balaban ME. (2014) A novel Hybrid RBF Neural Networks model as a forecaster Statistics and Computing. 24: 365-375
Kartal Koc E, Bozdogan H. (2014) Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function Machine Learning. 101: 35-58
Bozdogan H, Akbilgic O. (2013) Social network analysis of scientific collaborations across different subject fields Information Services and Use. 33: 219-233
Howe JA, Bozdogan H. (2013) Robust mixture model cluster analysis using adaptive kernels Journal of Applied Statistics. 40: 320-336
Kwon Y, Bozdogan H, Bensmail H. (2009) Performance of model selection criteria in Bayesian Threshold VAR (TVAR) models Econometric Reviews. 28: 83-101
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