Van Hulle MM. (2005). Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures Neural Comput. 18

See more from authors: Van Hulle MM

References and models cited by this paper

Ahmad IA, Lin PE. (1976). A nonparametric estimation of the entropy for absolutely continuous distributions IEEE Trans Information Theory. 22

Akaike H. (1973). Information theory and an extension of the maximum likelihood principle 2nd Intl Symp in Information Theory.

Bishop C. (1995). Neural Networks For Pattern Recognition.

Comon P. (1994). Independent component analysis, a new concept? Signal Processing. 36

Cover TM, Thomas JA. (1991). Elements of Information Theory.

Cox DR, Barndorff-Nielsen OE. (1989). Inference and asymptotics.

Dempster AP, Laird NM, Rubin DB. (1977). Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B. 39

Friedman JH. (1987). Exploratory Projection Pursuit J Am Stat Assoc. 82

Gyorfi L, Beirlant J, Dudewicz EJ, van_der_Meulen EC. (1997). Nonparametric entropy estimation: An overview Int J Math And Statistical Sciences. 6

Hall P. (1984). Limit theorems for sums of general functions of m-spacings Math Proc Camb Phil Soc. 96

Huber P. (1985). Projection pursuit Annals Of Statistics. 13

Kozachenko LF, Leonenko NN. (1987). Sample estimate of entropy of a random vector Problems Of Information Transmission. 23

Kullback S. (1959). Information theory and statistics.

Montgomery DC, Runger GC. (1999). Applied statistics and probability for engineers.

Redner RA, Walker HF. (1984). Mixture densities, maximum likelihood and the EM algorithm SIAM Rev. 26

Sakamoto Y, Ishiguro M, Kitagawa G. (1997). Bootstrapping log likelihood and EIC, and extension of AIC Annals Of The Institute Of Statistical Mathematics. 49

Shannon C, Weaver W. (1948). A Mathematical Theory of Communication..

Silverman BW. (1992). Density estimation for statistics and data analysis.

Soofi ES. (2000). Principal information theoretic approaches J Am Stat Assoc. 95

Stoica P, Selen Y. (2004). Model-order selection: A review of information criterion rules IEEE Signal Processing Magazine. 21

Van Hulle MM. (2005). Edgeworth approximation of multivariate differential entropy. Neural computation. 17 [PubMed]

Van Hulle MM. (2005). Maximum likelihood topographic map formation. Neural computation. 17 [PubMed]

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.