2007 | ||
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7 | EE | Alexandre X. Carvalho, Martin A. Tanner: Modelling nonlinear count time series with local mixtures of Poisson autoregressions. Computational Statistics & Data Analysis 51(11): 5266-5294 (2007) |
2002 | ||
6 | EE | Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner: Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. Neural Computation 14(10): 2415-2437 (2002) |
2000 | ||
5 | Wenxin Jiang, Martin A. Tanner: On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models. IEEE Transactions on Information Theory 46(3): 1005-1013 (2000) | |
1999 | ||
4 | Wenxin Jiang, Martin A. Tanner: On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models. Neural Computation 11(5): 1183-1198 (1999) | |
3 | EE | Wenxin Jiang, Martin A. Tanner: On the identifiability of mixtures-of-experts. Neural Networks 12(9): 1253-1258 (1999) |
1998 | ||
2 | EE | Wenxin Jiang, Martin A. Tanner: Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results. UAI 1998: 296-303 |
1997 | ||
1 | EE | Robert A. Jacobs, Fengchun Peng, Martin A. Tanner: A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures. Neural Networks 10(2): 231-241 (1997) |
1 | Alexandre X. Carvalho | [7] |
2 | Robert A. Jacobs | [1] [6] |
3 | Wenxin Jiang | [2] [3] [4] [5] [6] |
4 | Fengchun Peng | [1] |