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Martin A. Tanner
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2010 – 2019
- 2016
- [j10]Yi Gao, Wenxin Jiang, Martin A. Tanner:
Generalized Gini Correlation and its Application in Data-Mining. Data Min. Knowl. Discov. 30(6): 1455-1479 (2016) - 2013
- [c4]Cheng Li, Wenxin Jiang, Martin A. Tanner:
General Oracle Inequalities for Gibbs Posterior with Application to Ranking. COLT 2013: 512-521 - [i1]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. CoRR abs/1301.7390 (2013) - 2011
- [j9]Lili Yao, Wenxin Jiang, Martin A. Tanner:
Predicting Panel Data Binary Choice with the Gibbs Posterior. Neural Comput. 23(10): 2683-2712 (2011)
2000 – 2009
- 2007
- [j8]Alexandre X. Carvalho, Martin A. Tanner:
Modelling nonlinear count time series with local mixtures of Poisson autoregressions. Comput. Stat. Data Anal. 51(11): 5266-5294 (2007) - 2006
- [j7]Alexandre X. Carvalho, Martin A. Tanner:
Modeling nonlinearities with mixtures-of-experts of time series models. Int. J. Math. Math. Sci. 2006: 19423:1-19423:22 (2006) - 2005
- [j6]Alexandre X. Carvalho, Martin A. Tanner:
Mixtures-of-experts of autoregressive time series: asymptotic normality and model specification. IEEE Trans. Neural Networks 16(1): 39-56 (2005) - 2003
- [c3]Alexandre X. Carvalho, Martin A. Tanner:
Hypothesis testing in mixtures-of-experts of generalized linear time series. CIFEr 2003: 285-292 - 2002
- [j5]Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner:
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. Neural Comput. 14(10): 2415-2437 (2002) - 2000
- [j4]Wenxin Jiang, Martin A. Tanner:
On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models. IEEE Trans. Inf. Theory 46(3): 1005-1013 (2000)
1990 – 1999
- 1999
- [j3]Wenxin Jiang, Martin A. Tanner:
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models. Neural Comput. 11(5): 1183-1198 (1999) - [j2]Wenxin Jiang, Martin A. Tanner:
On the identifiability of mixtures-of-experts. Neural Networks 12(9): 1253-1258 (1999) - [c2]Wenxin Jiang, Martin A. Tanner:
Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency. AISTATS 1999 - 1998
- [c1]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
- [j1]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)
Coauthor Index
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