Martin A. Tanner

Publication Activity (10 Years)

Years Active: 1997-2016
Publications (10 Years): 1

Top Topics

Order Statistics

Markov Chain Monte Carlo

Hyperparameters

Data Mining Models

Top Venues

Data Min. Knowl. Discov.

Publications

Yi Gao, Wenxin Jiang, Martin A. Tanner
Generalized Gini Correlation and its Application in Data-Mining. Data Min. Knowl. Discov. 30 (6) (2016)
Cheng Li, Wenxin Jiang, Martin A. Tanner
General Oracle Inequalities for Gibbs Posterior with Application to Ranking. COLT (2013)
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 (2013)
Lili Yao, Wenxin Jiang, Martin A. Tanner
Predicting Panel Data Binary Choice with the Gibbs Posterior. Neural Comput. 23 (10) (2011)
Alexandre X. Carvalho, Martin A. Tanner
Modelling nonlinear count time series with local mixtures of Poisson autoregressions. Comput. Stat. Data Anal. 51 (11) (2007)
Alexandre X. Carvalho, Martin A. Tanner
Modeling nonlinearities with mixtures-of-experts of time series models. Int. J. Math. Math. Sci. 2006 (2006)
Alexandre X. Carvalho, Martin A. Tanner
Mixtures-of-experts of autoregressive time series: asymptotic normality and model specification. IEEE Trans. Neural Networks 16 (1) (2005)
Alexandre X. Carvalho, Martin A. Tanner
Hypothesis testing in mixtures-of-experts of generalized linear time series. CIFEr (2003)
Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. Neural Comput. 14 (10) (2002)
Wenxin Jiang, Martin A. Tanner
On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models. IEEE Trans. Inf. Theory 46 (3) (2000)
Wenxin Jiang, Martin A. Tanner
Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency. AISTATS (1999)
Wenxin Jiang, Martin A. Tanner
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models. Neural Comput. 11 (5) (1999)
Wenxin Jiang, Martin A. Tanner
On the identifiability of mixtures-of-experts. Neural Networks 12 (9) (1999)
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)
Robert A. Jacobs, Fengchun Peng, Martin A. Tanner
A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures. Neural Networks 10 (2) (1997)