Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions H Bozdogan Psychometrika 52 (3), 345-370, 1987 | 5947 | 1987 |
Akaike's information criterion and recent developments in information complexity H Bozdogan Journal of mathematical psychology 44 (1), 62-91, 2000 | 958 | 2000 |
Mixture-model cluster analysis using model selection criteria and a new informational measure of complexity H Bozdogan Proceedings of the First US/Japan Conference on the Frontiers of Statistical …, 1994 | 285 | 1994 |
On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models H Bozdogan Communications in Statistics-Theory and Methods 19 (1), 221-278, 1990 | 266 | 1990 |
Choosing the number of component clusters in the mixture-model using a new informational complexity criterion of the inverse-Fisher information matrix H Bozdogan Information and Classification: Concepts, Methods and Applications …, 1993 | 263 | 1993 |
ICOMP: A new model-selection criterion. H Bozdogan 1. Conference of the international federation of classification societies …, 1987 | 192 | 1987 |
A novel hybrid RBF neural networks model as a forecaster O Akbilgic, H Bozdogan, ME Balaban Statistics and Computing 24, 365-375, 2014 | 150 | 2014 |
Multi-sample cluster analysis using Akaike’s information criterion H Bozdogan, SL Sclove Annals of the Institute of Statistical Mathematics 36 (1), 163-180, 1984 | 134 | 1984 |
Supply chain integrity: A key to sustainable supply chain management VE Castillo, DA Mollenkopf, JE Bell, H Bozdogan Journal of Business Logistics 39 (1), 38-56, 2018 | 132 | 2018 |
Statistical data mining and knowledge discovery H Bozdogan CRC Press, 2003 | 130 | 2003 |
Informational complexity criteria for regression models H Bozdogan, DMA Haughton Computational Statistics & Data Analysis 28 (1), 51-76, 1998 | 114 | 1998 |
Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms Hamparsum Bozdogan University of Tennessee, Knoxville, USA H Bozdogan Statistical data mining and knowledge discovery, 47-88, 2003 | 90 | 2003 |
How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data B Wali, AJ Khattak, H Bozdogan, M Kamrani Transportation research part C: emerging technologies 92, 504-524, 2018 | 84 | 2018 |
Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function E Kartal Koc, H Bozdogan Machine Learning 101, 35-58, 2015 | 78 | 2015 |
Inference problems with equivalent models LJ Williams, H Bozdogan, L Aiman-Smith Advanced Structural Equation Modeling, 279-314, 2013 | 75 | 2013 |
Ideal point discriminant analysis Y Takane, H Bozdogan, T Shibayama Psychometrika 52 (3), 371-392, 1987 | 73 | 1987 |
Determining the number of component clusters in the standard multivariate normal mixture model using model-selection criteria H Bozdogan Chicago, IL, University of Illinois at Chicago, Quantitative Methods Department, 1983 | 56 | 1983 |
A new class of information complexity (ICOMP) criteria with an application to customer profiling and segmentation H Bozdogan İstanbul Üniversitesi İşletme Fakültesi Dergisi 39 (2), 370-398, 2010 | 49 | 2010 |
Multi-sample cluster analysis as an alternative to multiple comparison procedures H Bozdogan Research Association of Statistical Sciences 22 (1/2), 95-130, 1986 | 42 | 1986 |
Empirical econometric modelling of food consumption using a new informational complexity approach PM Bearse, H Bozdogan, AM Schlottmann Journal of Applied Econometrics 12 (5), 563-592, 1997 | 41 | 1997 |