Bibliography
AKAIKE, H., 1983. Information measures and model selection. Bulletin of the International Statistical Institute. [Cited by 54 ] (2.39/year)
ANDERS, U. and O. KORN, 1999. Model selection in neural networks . Neural Networks. [Cited by 64 ] (9.73/year)
ANDERSON, D.R., K.P. BURNHAM and G.C. WHITE, 1994. AIC model selection in overdispersed capture-recapture data . Ecology. [Cited by 153 ] (13.22/year)
ANDERSON, D.R., K.P. BURNHAM and W.L. THOMPSON, 2000. Null hypothesis testing: Problems, prevalence, and an alternative . Journal of Wildlife Management. [Cited by 242 ] (43.41/year)
ANDRIEU, C. and A. DOUCET, 1999. Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC . IEEE Transactions on Signal Processing. [Cited by 61 ] (9.28/year)
ANDRIEU, C., N. DE and A. DOUCET, 1999. Sequential MCMC for Bayesian Model Selection . Higher-Order Statistics, 1999. Proceedings of the IEEE …. [Cited by 40 ] (6.08/year)
BARAUD, Y., 2000. Model selection for regression on a fixed design . Probab. Theory Related Fields. [Cited by 39 ] (7.00/year)
BARAUD, Y., 2002. Model selection for regression on a random design . ESAIM P & S. [Cited by 27 ] (7.55/year)
BARRON, A., L. BIRGE/ and P. MASSART, 1995. Risk bounds for model selection via penalization . [Cited by 189 ] (17.87/year)
BARRON, A.R., 1984. Predicted squared error: a criterion for automatic model selection. Self-Organizing Methods in Modeling: GMDH Type Algorithms, …. [Cited by 70 ] (3.24/year)
BARTLETT, P.L., S. BOUCHERON and G. LUGOSI, 2002. Model selection and error estimation . Machine Learning. [Cited by 66 ] (18.46/year)
BERAN, J., R.J. BHANSALI and D. OCKER, 1998. On Unified Model Selection for Stationary and Nonstationary Short-and Long-Memory Autoregressive … . Biometrika. [Cited by 31 ] (4.09/year)
BERGER, J.O. and L.R. PERICCHI, 1996. The Intrinsic Bayes Factor for Model Selection and Prediction. . Journal of the American Statistical Association. [Cited by 201 ] (20.99/year)
BERGER, J.O. and L.R. PERICCHI, 2001. Objective Bayesian Methods for Model Selection: Introduction and Comparison . Model Selection. [Cited by 33 ] (7.21/year)
BIRGE, L. and P. MASSART, 2001. Gaussian model selection . J. Eur. Math. Soc. [Cited by 58 ] (12.68/year)
BIRGE/, L. and P. MASSART, 1995. From model selection to adaptive estimation. [Cited by 89 ] (8.42/year)
BOZDOGAN, H. and S.L. SCLOVE, 1987. Model selection and Akaike's information criterion (AIC): The general theory and its analytical … . Psychometrika. [Cited by 322 ] (17.34/year)
BOZDOGAN, H., 1987. ICOMP: A new model-selection criterion. . 1. Conference of the International Federation of …. [Cited by 27 ] (1.45/year)
BOZDOGAN, H., 1994. Mixture-model cluster analysis using model selection criteria and a new informational measure of …. Proceedings of the 1 stUS/Japan Conference on the Frontiers …. [Cited by 33 ] (2.85/year)
BREIMAN, L., 1996. Heuristics of Instability and Stabilization in Model Selection . The Annals of Statistics. [Cited by 163 ] (17.02/year)
BURNHAM, K.P. and D.R. ANDERSON, 1998. Model selection and inference: a practical information-theoretic approach: Springer-Verlag. New York. [Cited by 164 ] (21.65/year)
BURNHAM, K.P. and D.R. ANDERSON, 2003. Model Selection and Multimodel Inference . Technometrics. [Cited by 684 ] (265.62/year)
BURNHAM, K.P., D.R. ANDERSON and D.A. ANDERSON, 1998. Model selection and inference: a practical information-theoretic approach. New York: Springer. [Cited by 1138 ] (150.23/year)
BURNHAM, K.P., G.C. WHITE and D.R. ANDERSON, 1995. Model Selection Strategy in the Analysis of Capture-Recapture Data . Biometrics. [Cited by 78 ] (7.38/year)
CHAO, J.C. and P.C.B. PHILLIPS, 1999. Model selection in partially nonstationary vector autoregressive processes with reduced rank … . Journal of Econometrics. [Cited by 40 ] (6.08/year)
CHAPELLE, O. and V. VAPNIK, 1999. Model Selection for Support Vector Machines . NIPS. [Cited by 84 ] (12.78/year)
CHEN, S. and J. WIGGER, 1995. Fast orthogonal least squares algorithm for efficient subset model selection . IEEE Transactions on Signal Processing. [Cited by 22 ] (2.08/year)
CHIPMAN, H., E.I. GEORGE and R.E. MCCULLOCH, 2001. The practical implementation of Bayesian model selection . Model Selection. [Cited by 37 ] (8.09/year)
CHRISTOFFERSEN, P.F. and F.X. DIEBOLD, 1996. Further results on forecasting and model selection under asymmetric loss . Journal of Applied Econometrics. [Cited by 46 ] (4.80/year)
COETZEE, J.F., et al. , 1995. Pharmacokinetic model selection for target controlled infusions of propofol: assessment of three … . Anesthesiology. [Cited by 90 ] (8.51/year)
CREMERS, K.J.M., 2002. Stock Return Predictability: A Bayesian Model Selection Perspective . Review of Financial Studies. [Cited by 36 ] (10.07/year)
DJURIC, P.M., 1996. A model selection rule for sinusoids in white Gaussian noise . Signal Processing, IEEE Transactions on [see also Acoustics, …. [Cited by 27 ] (2.82/year)
DOM, B. and S. VAITHYANATHAN, 1999. Model selection in unsupervised learning with applications to document clustering . The Sixteenth International Conference on Machine Learning. [Cited by 29 ] (4.41/year)
FIGUEIREDO, M.A.T. and A.K. JAIN, 2002. Unsupervised learning of finite mixture models . IEEE Transactions on Pattern Analysis and Machine …. [Cited by 179 ] (50.07/year)
FINNOFF, W., F. HERGERT and H.G. ZIMMERMANN, 1993. Improving model selection by nonconvergent methods. . Neural Networks. [Cited by 104 ] (8.27/year)
FORSTER, M.R., 2000. Key concepts in model selection: Performance and generalizability . Journal of Mathematical Psychology. [Cited by 41 ] (7.35/year)
GEIGER, D., et al. , 2001. Stratified Exponential Families: Graphical Models and Model Selection . The Annals of Statistics. [Cited by 38 ] (8.31/year)
GEIGER, D., D. HECKERMAN and C. MEEK, 1996. Asymptotic Model Selection for Directed Networks with Hidden Variables . UAI. [Cited by 38 ] (3.97/year)
GR\UNWALD, P., 2000. Model selection based on minimum description length . Journal of Mathematical Psychology. [Cited by 39 ] (7.00/year)
GRANGER, C.W.J., M.L. KING and H. WHITE, 1995. Comments on testing economic theories and the use of model selection criteria . Journal of Econometrics. [Cited by 56 ] (5.30/year)
HALL, A., 1994. Testing for a Unit Root in Time Series with Pretest Data-Based Model Selection . Journal of Business & Economic Statistics. [Cited by 163 ] (14.08/year)
HANSEN, M.H. and B. YU, 2001. Model Selection and the Principle of Minimum Description Length. . Journal of the American Statistical Association. [Cited by 142 ] (31.04/year)
HAUSSLER, D., 1992. Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications . Information and Computation. [Cited by 337 ] (24.82/year)
HENDRY, D.F. and H.M. KROLZIG, 2001. Automatic Econometric Model Selection. Timberlake Consultants Ltd. [Cited by 53 ] (11.58/year)
HURVICH, C.M. and C.L. TSAI, 1989. Regression and Time Series Model Selection in Small Samples . Biometrika. [Cited by 350 ] (21.12/year)
JOHNSON, J.B. and K.S. OMLAND, 2004. Model selection in ecology and evolution . Trends in Ecology & Evolution. [Cited by 48 ] (30.47/year)
KANATANI, K., 1998. Geometric information criterion for model selection . International Journal of Computer Vision. [Cited by 45 ] (5.94/year)
KANATANI, K., 2001. Motion Segmentation by Subspace Separation and Model Selection . ICCV. [Cited by 44 ] (9.62/year)
KEARNS, M., et al. , 1997. An Experimental and Theoretical Comparison of Model Selection Methods . Machine Learning. [Cited by 84 ] (9.80/year)
KOHAVI, R., 1995. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection . IJCAI. [Cited by 477 ] (45.11/year)
KONISHI, S. and G. KITAGAWA, 1996. Generalised information criteria in model selection . Biometrika. [Cited by 58 ] (6.06/year)
KROLZIG, H.M. and D.F. HENDRY, 2001. Computer automation of general-to-specific model selection procedures . Journal of Economic Dynamics and Control. [Cited by 62 ] (13.55/year)
LANCKRIET, G.R.G., et al. , 2004. Learning the kernel matrix with semidefinite programming . Journal of Machine Learning Research. [Cited by 99 ] (62.85/year)
LEBRETON, J.D., et al. , 1992. Modeling survival and testing biological hypotheses using marked animals: a unified approach with … . Ecological Monographs. [Cited by 712 ] (52.45/year)
LEONTARITIS, I.J. and S.A. BILLINGS, 1987. Model selection and validation methods for non-linear systems . International Journal of Control. [Cited by 40 ] (2.15/year)
LINHART, H. and W. ZUCCHINI, 1986. Model selection. New York: Wiley. [Cited by 214 ] (10.93/year)
LUDDEN, T.M., S.L. BEAL and L.B. SHEINER, 1994. … the Akaike Information Criterion, the Schwarz criterion and the F test as guides to model selection . J Pharmacokinet Biopharm. [Cited by 38 ] (3.28/year)
MADIGAN, D. and A.E. RAFTERY, 1994. Model Selection and Accounting for Model Uncertainly in Graphical Models Using Occam's Window. . Journal of the American Statistical Association. [Cited by 279 ] (24.10/year)
MADIGAN, D., et al. , 1996. Bayesian model averaging and model selection for Markov equivalence classes of acyclic digraphs . Comm. Statist. Theory Methods. [Cited by 39 ] (4.07/year)
MAGNANTI, T.L. and R.T. WONG, 1979. Accelerating Benders' Decomposition: Algorithmic Enhancements and Model Selection Criteria . [Cited by 39 ] (1.47/year)
MARON, O. and A.W. MOORE, 1994. Hoeding races: Accelerating model selection search for classification and function approximation . Advances in Neural Information Processing Systems. [Cited by 51 ] (4.41/year)
MCQUARRIE, A.D.R. and C.L. TSAI, 1998. Regression and Time Series Model Selection . books.google.com. [Cited by 89 ] (11.75/year)
MEADE, N. and T. ISLAM, 1998. Technological Forecasting--Model Selection, Model Stability, and Combining Models . Management Science. [Cited by 33 ] (4.36/year)
MYUNG, I.J., 2000. The importance of complexity in model selection . Journal of Mathematical Psychology. [Cited by 46 ] (8.25/year)
MYUNG, I.J., V. BALASUBRAMANIAN and M.A. PITT, 2000. Counting probability distributions: Differential geometry and model selection . PNAS. [Cited by 44 ] (7.89/year)
OLDEN, J.D. and D.A. JACKSON, 2000. Torturing data for the sake of generality: How valid are our regression models? . Ecoscience. [Cited by 32 ] (5.74/year)
PESARAN, M.H., 1974. On the general problem of model selection. [Cited by 61 ] (1.93/year)
PHILLIPS, P.C.B. and W. PLOBERGER, 1992. Posterior odds testing for a unit root with data-based model selection. [Cited by 44 ] (3.24/year)
POLLAK, R.A. and T.J. WALES, 1991. The likelihood dominance criterion: a new approach to model selection . Journal of Econometrics. [Cited by 33 ] (2.26/year)
POTSCHER, B.M., 1991. Effects of model selection on inference . Econometric Theory. [Cited by 51 ] (3.50/year)
RAFTERY, A.E. and P.V. MARSDEN, 1995. Bayesian model selection in social research. Sociological Methodology. [Cited by 353 ] (33.38/year)
RAFTERY, A.E., 1993. Bayesian model selection in structural equation models . Testing structural equation models. [Cited by 46 ] (3.66/year)
RAFTERY, A.E., 1995. Bayesian model selection in social research (with discussion by Andrew Gelman & Donald B. Rubin, and … . Sociological Methodology. [Cited by 114 ] (10.78/year)
RAFTERY, A.E., 1996. Hypothesis testing and model selection via posterior simulation . Practical Markov Chain Monte Carlo(WR Gilks, DJ …. [Cited by 32 ] (3.34/year)
RAFTERY, A.E., et al. , 1996. Hypothesis testing and model selection. Markov Chain Monte Carlo in Practice. [Cited by 81 ] (8.46/year)
RAFTERY, A.E., D. MADIGAN and J. HOETING, 1997. Model selection and accounting for model uncertainty in linear regression models . Journal of the American Statistical Association. [Cited by 32 ] (3.73/year)
RAJA, Y., S. MCKENNA and S. GONG, 1998. Colour model selection and adaptation in dynamic scenes . Proc. of European Conf. on Computer Vision. [Cited by 60 ] (7.92/year)
REGAL, R. and E.B. HOOK, 1991. The effects of model selection on confidence intervals for the size of a closed population . Statistics in Medicine. [Cited by 28 ] (1.92/year)
SCHUURMANS, D., 1997. A New Metric-Based Approach to Model Selection . AAAI/IAAI. [Cited by 37 ] (4.31/year)
SCLOVE, S.L., 1987. Application of model-selection criteria to some problems in multivariate analysis . Psychometrika. [Cited by 47 ] (2.53/year)
SEEGER, M., 1999. Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel … . NIPS. [Cited by 40 ] (6.08/year)
SHAO, J., 1996. Bootstrap Model Selection. . Journal of the American Statistical Association. [Cited by 43 ] (4.49/year)
SHAO, J., 1997. An asymptotic theory for linear model selection . Statistica Sinica. [Cited by 34 ] (3.96/year)
SHIBATA, R., 1989. Statistical aspects of model selection. [Cited by 39 ] (2.35/year)
SMYTH, P., 2000. Model selection for probabilistic clustering using cross-validated likelihood . Statistics and Computing. [Cited by 46 ] (8.25/year)
SPEED, K.W.B.T.P., 2002. A model selection approach for the identification of quantitative trait loci in experimental crosses . Journal Of The Royal Statistical Society Series B. [Cited by 33 ] (9.23/year)
SUGIYAMA, M. and H. OGAWA, 2001. Subspace Information Criterion for Model Selection . Neural Computation. [Cited by 37 ] (8.09/year)
SWANSON, N.R. and H. WHITE, 1995. A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models … . Journal of Business & Economic Statistics. [Cited by 76 ] (7.19/year)
SWANSON, N.R. and H. WHITE, 1997. A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial … . The Review of Economics and Statistics. [Cited by 80 ] (9.33/year)
TIBSHIRANI, R. and K. KNIGHT, 1999. The covariance ination criterion for adaptive model selection . Journal of the Royal Statistical Society, B. [Cited by 33 ] (5.02/year)
TIBSHIRANI, R., 1997. THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL . Statistics in Medicine. [Cited by 32 ] (3.73/year)
TORR, P.H.S., 1997. An assessment of information criteria for motion model selection . Computer Vision and Pattern Recognition, 1997. Proceedings., …. [Cited by 40 ] (4.66/year)
TORR, P.H.S., 1998. Geometric motion segmentation and model selection . … Transactions Mathematical Physical and Engineering Sciences. [Cited by 70 ] (9.24/year)
VUONG, Q.H., 1989. Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses . Econometrica. [Cited by 422 ] (25.46/year)
WASSERMAN, L., 2000. Bayesian model selection and model averaging . Journal of Mathematical Psychology. [Cited by 62 ] (11.12/year)
WAX, M. and T. KAILATH, 1985. Detection of signals by information theoretic criteria . IEEE Transactions on Acoustics, Speech, and Signal …. [Cited by 532 ] (25.86/year)
WOLPERT, D.H., et al. , 1994. The Mathematics of Generalization . Proc. SFI/CLNS workshop on Formal Approaches to Supervised …. [Cited by 32 ] (2.76/year)
YANG, Y. and A.R. BARRON, 1998. An asymptotic property of model selection criteria . IEEE Trans. Inform. Theory. [Cited by 37 ] (4.88/year)
YE, J., 1998. On Measuring and Correcting the Effects of Data Mining and Model Selection. . Journal of the American Statistical Association. [Cited by 69 ] (9.11/year)
ZUCCHINI, W., 2000. An Introduction to Model Selection . Journal of Mathematical Psychology. [Cited by 38 ] (6.82/year)