Hierarchical mixtures-of-experts for exponential family regression models: approximation and maximum likelihood estimation
Open Access
- 1 June 1999
- journal article
- Published by Institute of Mathematical Statistics in The Annals of Statistics
- Vol. 27 (3), 987-1011
- https://doi.org/10.1214/aos/1018031265
Abstract
No abstract availableThis publication has 15 references indexed in Scilit:
- Conditional inference about generalized linear mixed modelsThe Annals of Statistics, 1999
- Error bounds for functional approximation and estimation using mixtures of expertsIEEE Transactions on Information Theory, 1998
- Density Estimation Through Convex Combinations of Densities: Approximation and Estimation BoundsNeural Networks, 1997
- Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models with an Application to Speech RecognitionJournal of the American Statistical Association, 1996
- Neural NetworksPublished by Taylor & Francis Ltd ,1996
- Neural Networks for Optimal Approximation of Smooth and Analytic FunctionsNeural Computation, 1996
- Convergence results for the EM approach to mixtures of experts architecturesNeural Networks, 1995
- Hierarchical Mixtures of Experts and the EM AlgorithmNeural Computation, 1994
- Adaptive Mixtures of Local ExpertsNeural Computation, 1991
- Asymptotic Properties of Non-Linear Least Squares EstimatorsThe Annals of Mathematical Statistics, 1969