Martin A. Tanner

According to our database, Martin A. Tanner authored at least 14 papers between 1997 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Generalized Gini Correlation and its Application in Data-Mining.

Yi Gao, Wenxin Jiang, Martin A. Tanner

Data Min. Knowl. Discov., 2016

2013

General Oracle Inequalities for Gibbs Posterior with Application to Ranking.

Cheng Li, Wenxin Jiang, Martin A. Tanner

Proceedings of the COLT 2013, 2013

2011

Predicting Panel Data Binary Choice with the Gibbs Posterior.

Lili Yao, Wenxin Jiang, Martin A. Tanner

Neural Comput., 2011

2007

Modelling nonlinear count time series with local mixtures of Poisson autoregressions.

Alexandre X. Carvalho, Martin A. Tanner

Comput. Stat. Data Anal., 2007

2006

Modeling nonlinearities with mixtures-of-experts of time series models.

Alexandre X. Carvalho, Martin A. Tanner

Int. J. Math. Math. Sci., 2006

2005

Mixtures-of-experts of autoregressive time series: asymptotic normality and model specification.

Alexandre X. Carvalho, Martin A. Tanner

IEEE Trans. Neural Networks, 2005

2003

Hypothesis testing in mixtures-of-experts of generalized linear time series.

Alexandre X. Carvalho, Martin A. Tanner

Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

2002

Factorial Hidden Markov Models and the Generalized Backfitting Algorithm.

Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner

Neural Comput., 2002

2000

On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models.

Wenxin Jiang, Martin A. Tanner

IEEE Trans. Inf. Theory, 2000

1999

On the identifiability of mixtures-of-experts.

Wenxin Jiang, Martin A. Tanner

Neural Networks, 1999

On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models.

Wenxin Jiang, Martin A. Tanner

Neural Comput., 1999

Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency.

Wenxin Jiang, Martin A. Tanner

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results.

Wenxin Jiang, Martin A. Tanner

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997

A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures.

Robert A. Jacobs, Fengchun Peng, Martin A. Tanner

Neural Networks, 1997