Stochastic estimation of a mixture of normal density functions using an information criterion
- 1 May 1970
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory
- Vol. 16 (3) , 258-263
- https://doi.org/10.1109/tit.1970.1054454
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- On estimation of a mixture of normal density functionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1969
- Minimum mean square error approximation of unknown probability distribution functionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1968
- Estimation of probability density and distribution functionsIEEE Transactions on Information Theory, 1968
- Approximating discrete probability distributions with dependence treesIEEE Transactions on Information Theory, 1968
- On the Identifiability of Finite MixturesThe Annals of Mathematical Statistics, 1968
- On Bayesian Learning and Stochastic ApproximationIEEE Transactions on Systems Science and Cybernetics, 1967
- Efficient recursive estimation; application to estimating the parameters of a covariance functionInternational Journal of Engineering Science, 1965
- On Estimation of a Probability Density Function and ModeThe Annals of Mathematical Statistics, 1962
- A Stochastic Approximation MethodThe Annals of Mathematical Statistics, 1951
- On Information and SufficiencyThe Annals of Mathematical Statistics, 1951