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+6 0CHANGELOG.txt

+3 3README.md

+45 0code/H_I_D_A_C/base_estimators/ABlomqvist_estimation.m

+28 0code/H_I_D_A_C/base_estimators/ABlomqvist_initialization.m

+3 0code/H_I_D_A_C/base_estimators/ASpearman1_estimation.m

+3 0code/H_I_D_A_C/base_estimators/ASpearman2_estimation.m

+2 0code/H_I_D_A_C/base_estimators/ASpearman3_estimation.m

+45 0code/H_I_D_A_C/base_estimators/ASpearman4_estimation.m

+29 0code/H_I_D_A_C/base_estimators/ASpearman4_initialization.m

+2 1code/H_I_D_A_C/base_estimators/ISW1_estimation.m

+2 1code/H_I_D_A_C/base_estimators/ISWinf_estimation.m
README.md
 `entropy (H)`: Shannon entropy, R�nyi entropy, Tsallis entropy (Havrda and Charv�t entropy), complex entropy,
 `mutual information (I)`: generalized variance, kernel canonical correlation analysis, kernel generalized variance, HilbertSchmidt independence criterion, Shannon mutual information, L2 mutual information, R�nyi mutual information, Tsallis mutual information, copulabased kernel dependency, multivariate version of Hoeffding's Phi, SchweizerWolff's sigma and kappa, complex mutual information, CauchySchwartz quadratic mutual information, Euclidean distance based quadratic mutual information, distance covariance, distance correlation, approximate correntropy independence measure,
 `divergence (D)`: KullbackLeibler divergence (relative entropy), L2 divergence, R�nyi divergence, Tsallis divergence, Hellinger distance, Bhattacharyya distance, maximum mean discrepancy (kernel distance, an integral probability metric), Jdistance (symmetrised KullbackLeibler divergence), CauchySchwartz divergence, Euclidean distance based divergence, energy distance (specially the CramerVon Mises distance),
 `association measures (A)`, including `measures of concordance`: multivariate extensions of Spearman's rho (Spearman's rank correlation coefficient, grade correlation coefficient), correntropy, centered correntropy, correntropy coefficient, correntropy induced metric, centered correntropy induced metric,
+ `association measures (A)`, including `measures of concordance`: multivariate extensions of Spearman's rho (Spearman's rank correlation coefficient, grade correlation coefficient), correntropy, centered correntropy, correntropy coefficient, correntropy induced metric, centered correntropy induced metric, multivariate extension of Blomqvist's beta (medial correlation coefficient),
 code: [zip](https://bitbucket.org/szzoli/ite/downloads/ITE0.27_code.zip), [tar.bz2](https://bitbucket.org/szzoli/ite/downloads/ITE0.27_code.tar.bz2),
+ code: [zip](https://bitbucket.org/szzoli/ite/downloads/ITE0.28_code.zip), [tar.bz2](https://bitbucket.org/szzoli/ite/downloads/ITE0.28_code.tar.bz2),
code/H_I_D_A_C/base_estimators/ABlomqvist_estimation.m
+%We use the naming convention 'A<name>_estimation' to ease embedding new association estimator methods.
+% Friedrich Schmid, Rafael Schmidt, Thomas Blumentritt, Sandra Gaiser, and Martin Ruppert. Copula Theory and Its Applications, Chapter Copula based Measures of Multivariate Association. Lecture Notes in Statistics. Springer, 2010. (multidimensional case, length(ds)>=2)
+% Manuel UbedaFlores. Multivariate versions of Blomqvist's beta and Spearman's footrule. Annals of the Institute of Statistical Mathematics, 57:781788, 2005.
+% Nils Blomqvist. On a measure of dependence between two random variables. The Annals of Mathematical Statistics, 21:593600, 1950. (2D case, statistical properties)
+% Frederick Mosteller. On some useful ''inefficient'' statistics. Annals of Mathematical Statistics, 17:377408, 1946. (2D case, def)
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/base_estimators/ABlomqvist_initialization.m
+%Initialization of the estimator of the multivariate extension of Blomqvist's beta (medial correlation coefficient).
+% 2)We use the naming convention 'A<name>_initialization' to ease embedding new association estimator methods.
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/base_estimators/ASpearman1_estimation.m
% Friedrich Shmid, Rafael Schmidt, Thomas Blumentritt, Sandra Gaiser, and Martin Ruppert. Copula Theory and Its Applications, Chapter Copula based Measures of Multivariate Association. Lecture Notes in Statistics. Springer, 2010.
+% Friedrich Schmid and Rafael Schmidt. Multivariate extensions of Spearman's rho and related statistics. Statistics & Probability Letters, 77:407416, 2007.
+% Roger B. Nelsen. Nonparametric measures of multivariate association. Lecture NotesMonograph Series, Distributions with Fixed Marginals and Related Topics, 28:223232, 1996.
% C. Spearman. The proof and measurement of association between two things. The American Journal of Psychology, 15:72101, 1904.
%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
code/H_I_D_A_C/base_estimators/ASpearman2_estimation.m
% Friedrich Shmid, Rafael Schmidt, Thomas Blumentritt, Sandra Gaiser, and Martin Ruppert. Copula Theory and Its Applications, Chapter Copula based Measures of Multivariate Association. Lecture Notes in Statistics. Springer, 2010.
+% Friedrich Schmid and Rafael Schmidt. Multivariate extensions of Spearman's rho and related statistics. Statistics & Probability Letters, 77:407416, 2007.
+% Roger B. Nelsen. Nonparametric measures of multivariate association. Lecture NotesMonograph Series, Distributions with Fixed Marginals and Related Topics, 28:223232, 1996.
% C. Spearman. The proof and measurement of association between two things. The American Journal of Psychology, 15:72101, 1904.
%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
code/H_I_D_A_C/base_estimators/ASpearman3_estimation.m
% Friedrich Shmid, Rafael Schmidt, Thomas Blumentritt, Sandra Gaiser, and Martin Ruppert. Copula Theory and Its Applications, Chapter Copula based Measures of Multivariate Association. Lecture Notes in Statistics. Springer, 2010.
+% Roger B. Nelsen. Distributions with Given Marginals and Statistical Modelling, chapter Concordance and copulas: A survey, pages 169178. Kluwer Academic Publishers, Dordrecht, 2002.
% C. Spearman. The proof and measurement of association between two things. The American Journal of Psychology, 15:72101, 1904.
%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
code/H_I_D_A_C/base_estimators/ASpearman4_estimation.m
+%Estimates the fourth multivariate extension of Spearman's rho, the average of pairwise Spearman's rho using empirical copulas.
+%We use the naming convention 'A<name>_estimation' to ease embedding new association measure estimator methods.
+% Friedrich Schmid, Rafael Schmidt, Thomas Blumentritt, Sandra Gaiser, and Martin Ruppert. Copula Theory and Its Applications, Chapter Copula based Measures of Multivariate Association. Lecture Notes in Statistics. Springer, 2010.
+% Friedrich Schmid and Rafael Schmidt. Multivariate extensions of Spearman's rho and related statistics. Statistics & Probability Letters, 77:407416, 2007.
+% C. Spearman. The proof and measurement of association between two things. The American Journal of Psychology, 15:72101, 1904.
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/base_estimators/ASpearman4_initialization.m
+%Initialization of the fourth multivariate extension of Spearman's rho estimator, the average of pairwise Spearman's rho.
+% 2)We use the naming convention 'A<name>_initialization' to ease embedding new association measure estimator methods.
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/base_estimators/ISW1_estimation.m
% Sergey Kirshner and Barnabas Poczos. ICA and ISA Using SchweizerWolff Measure of Dependence. International Conference on Machine Learning (ICML), pages 464471, 2008.
% B. Schweizer and E. F. Wolff. On Nonparametric Measures of Dependence for Random Variables. The Annals of Statistics 9:879885, 1981.
+% B. Schweizer and Edward F. Wolff. On Nonparametric Measures of Dependence for Random Variables. The Annals of Statistics 9:879885, 1981.
%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
code/H_I_D_A_C/base_estimators/ISWinf_estimation.m
% Sergey Kirshner and Barnabas Poczos. ICA and ISA Using SchweizerWolff Measure of Dependence. International Conference on Machine Learning (ICML), pages 464471, 2008.
% B. Schweizer and E. F. Wolff. On Nonparametric Measures of Dependence for Random Variables. The Annals of Statistics 9:879885, 1981.
+% B. Schweizer and Edward F. Wolff. On Nonparametric Measures of Dependence for Random Variables. The Annals of Statistics 9:879885, 1981.
%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
CHANGELOG.txt