Discrepancy Risk Model Selection Test theory for comparing possibly misspecified or nonnested models

[1]  D. Rivers,et al.  Model Selection Tests for Nonlinear Dynamic Models , 2002 .

[2]  Emre Ertin.  Mathematical Methods for Neural Network Analysis and Design: R.M. Golden, MIT Press, Cambridge, MA, 1996, 419 pp., ISBN 0-262-07174-6 , 2000, Neurocomputing.

[3]  I. J. Myung,et al.  GUEST EDITORS' INTRODUCTION: Special Issue on Model Selection , 2000 .

[4]  Golden,et al.  Statistical Tests for Comparing Possibly Misspecified and Nonnested Models. , 2000, Journal of mathematical psychology.

[5]  Jiming Jiang,et al.  A test for global maximum , 1999 .

[6]  Linda Vincent,et al.  The information content of funds from operations (FFO) for real estate investment trusts (REITs) , 1999 .

[7]  R. Gunst.  Applied Regression Analysis , 1999, Technometrics.

[8]  Charles R. Plott,et al.  Nonlinear Behavior in Sealed Bid First Price Auctions , 1998 .

[9]  Petar M. Djuric,et al.  Asymptotic MAP criteria for model selection , 1998, IEEE Trans. Signal Process..

[10]  Hans R. Künsch,et al.  Some Notes on Rissanen's Stochastic Complexity , 1998, IEEE Trans. Inf. Theory.

[11]  Mary E. Barth,et al.  Relative valuation roles of equity book value and net income as a function of financial health , 1998 .

[12]  Richard M. Golden,et al.  Knowledge digraph contribution analysis of protocol data , 1998 .

[13]  Hidetoshi Shimodaira.  Assessing the Error Probability of the Model Selection Test , 1997 .

[14]  U. Gerdtham.  Equity in health care utilization: further tests based on hurdle models and Swedish micro data. , 1997, Health economics.

[15]  V. Balasubramanian.  Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions , 1996, Neural Computation.

[16]  Frederick Jelinek,et al.  Statistical methods for speech recognition , 1997 .

[17]  Richard M. Golden,et al.  Mathematical Methods for Neural Network Analysis and Design , 1996 .

[18]  A non-nested test of the AIDS vs. the translog demand system , 1996 .

[19]  H. White,et al.  Information criteria for selecting possibly misspecified parametric models , 1996 .

[20]  Jorma Rissanen,et al.  Fisher information and stochastic complexity , 1996, IEEE Trans. Inf. Theory.

[21]  L. Wasserman,et al.  A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion , 1995 .

[22]  P. Grootendorst,et al.  A comparison of alternative models of prescription drug utilization. , 1995, Health economics.

[23]  Richard M. Golden.  Making correct statistical inferences using a wrong probability model , 1995 .

[24]  Russell A. Gordon.  The Integrals of Lebesgue, Denjoy, Perron, and Henstock , 1994 .

[25]  Halbert White,et al.  Estimation, inference, and specification analysis , 1996 .

[26]  Quang Vuong,et al.  Minimum chi-square estimation and tests for model selection , 1993 .

[27]  D. W. Lewis.  Matrix theory , 1991 .

[28]  F. Guess.  Bayesian Statistics: Principles, Models, and Applications , 1990 .

[29]  Andrew R. Barron,et al.  Information-theoretic asymptotics of Bayes methods , 1990, IEEE Trans. Inf. Theory.

[30]  H. White.  Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models , 1989 .

[31]  Q. Vuong.  Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses , 1989 .

[32]  H. Linhart.  A test whether two AIC's differ significantly , 1988 .

[33]  H. Bozdogan.  Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .

[34]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[35]  H. White.  Asymptotic theory for econometricians , 1985 .

[36]  Bradley Efron,et al.  Comparing Non-Nested Linear Models , 1984 .

[37]  H. White,et al.  Nonlinear Regression with Dependent Observations , 1984 .

[38]  Joan K. Gallini.  Misspecifications That Can Result in Path Analysis Structures , 1983 .

[39]  H. White.  Maximum Likelihood Estimation of Misspecified Models , 1982 .

[40]  C.Y. Chong,et al.  Probabilistic models in engineering sciences , 1981, Proceedings of the IEEE.

[41]  R. Davies.  The distribution of a linear combination of 2 random variables , 1980 .

[42]  Ing Rj Ser.  Approximation Theorems of Mathematical Statistics , 1980 .

[43]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[44]  Robert V. Foutz,et al.  The Performance of the Likelihood Ratio Test When the Model is Incorrect , 1977 .

[45]  J. Sheil,et al.  The Distribution of Non‐Negative Quadratic Forms in Normal Variables , 1977 .

[46]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[47]  S. S. Wilks.  The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses , 1938 .