Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model

[1]  Šarūnas Raudys,et al.  Statistical and Neural Classifiers: An Integrated Approach to Design , 2012 .

[2]  Edward R. Dougherty,et al.  Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part I: Representation , 2012, IEEE Transactions on Signal Processing.

[3]  Edward R. Dougherty,et al.  Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part II: Consistency and Performance Analysis , 2012, IEEE Transactions on Signal Processing.

[4]  Ulisses Braga-Neto,et al.  Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic Gaussian model , 2012, Pattern Recognit..

[5]  Edward R. Dougherty,et al.  Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis , 2011, IEEE Transactions on Signal Processing.

[6]  Amin Zollanvari,et al.  The Illusion of Distribution-Free Small-Sample Classification in Genomics , 2011, Current genomics.

[7]  Ulisses Braga-Neto,et al.  Exact correlation between actual and estimated errors in discrete classification , 2010, Pattern Recognit. Lett..

[8]  Blaise Hanczar,et al.  Performance of Error Estimators for Classification , 2010 .

[9]  A. Ullah,et al.  Expectation of quadratic forms in normal and nonnormal variables with applications , 2010 .

[10]  Ulisses Braga-Neto,et al.  Joint Sampling Distribution Between Actual and Estimated Classification Errors for Linear Discriminant Analysis , 2010, IEEE Transactions on Information Theory.

[11]  Ulisses Braga-Neto,et al.  On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers , 2009, Pattern Recognit..

[12]  Yong Bao,et al.  Expectation of Quadratic Forms in Normal and Nonnormal Variables with Econometric Applications , 2009 .

[13]  Raymond Kan From moments of sum to moments of product , 2008 .

[14]  Ulisses Braga-Neto,et al.  Exact performance of error estimators for discrete classifiers , 2005, Pattern Recognit..

[15]  P. Bickel,et al.  Some theory for Fisher''s linear discriminant function , 2004 .

[16]  S. Raudys,et al.  Results in statistical discriminant analysis: a review of the former Soviet union literature , 2004 .

[17]  V. Berikov,et al.  The influence of prior knowledge on the expected performance of a classifier , 2003, Pattern Recognit. Lett..

[18]  Yasunori Fujikoshi,et al.  Error Bounds for Asymptotic Approximations of the Linear Discriminant Function When the Sample Sizes and Dimensionality are Large , 2000 .

[19]  F. J. Wyman,et al.  A comparison of asymptotic error rate expansions for the sample linear discriminant function , 1990, Pattern Recognit..

[20]  Keinosuke Fukunaga,et al.  Estimation of Classifier Performance , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  M. A. Moran On the expectation of errors of allocation associated with a linear discriminant function , 1975 .

[22]  G. McLachlan AN ASYMPTOTIC EXPANSION OF THE EXPECTATION OF THE ESTIMATED ERROR RATE IN DISCRIMINANT ANALYSIS1 , 1973 .

[23]  Donald H. Foley Considerations of sample and feature size , 1972, IEEE Trans. Inf. Theory.

[24]  M. Sorum Estimating the Conditional Probability of Misclassification , 1971 .

[25]  S. John Errors in Discrimination , 1961 .

[26]  T. W. Anderson Classification by multivariate analysis , 1951 .

[27]  Edward R. Dougherty,et al.  Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part I: Definition and the Bayesian MMSE Error Estimator for Discrete Classification , 2011, IEEE Transactions on Signal Processing.

[28]  Edward R. Dougherty,et al.  Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part II: Linear Classification of Gaussian Models , 2011, IEEE Transactions on Signal Processing.

[29]  V. Serdobolʹskiĭ Multivariate statistical analysis : a high-dimensional approach , 2000 .

[30]  László Györfi,et al.  A Probabilistic Theory of Pattern Recognition , 1996, Stochastic Modelling and Applied Probability.

[31]  P. Sen,et al.  Large sample methods in statistics , 1993 .

[32]  Ned Glick,et al.  Additive estimators for probabilities of correct classification , 1978, Pattern Recognit..

[33]  B. Ripley,et al.  Pattern Recognition , 1968, Nature.

[34]  M. Hills Allocation Rules and Their Error Rates , 1966 .