Martin A. Tanner

15 papers A* 1A 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2016 J jnl
Generalized Gini Correlation and its Application in Data-Mining.
Data Min. Knowl. Discov.
Yi Gao, Wenxin Jiang, Martin A. Tanner
2013 A* conf
General Oracle Inequalities for Gibbs Posterior with Application to Ranking.
COLT
Cheng Li, Wenxin Jiang, Martin A. Tanner
2013 J jnl
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results
CoRR
Wenxin Jiang, Martin A. Tanner
2011 J jnl
Predicting Panel Data Binary Choice with the Gibbs Posterior.
Neural Comput.
Lili Yao, Wenxin Jiang, Martin A. Tanner
2007 J jnl
Modelling nonlinear count time series with local mixtures of Poisson autoregressions.
Comput. Stat. Data Anal.
Alexandre X. Carvalho, Martin A. Tanner
2006 J jnl
Modeling nonlinearities with mixtures-of-experts of time series models.
Int. J. Math. Math. Sci.
Alexandre X. Carvalho, Martin A. Tanner
2005 J jnl
Mixtures-of-experts of autoregressive time series: asymptotic normality and model specification.
IEEE Trans. Neural Networks
Alexandre X. Carvalho, Martin A. Tanner
2003 — conf
Hypothesis testing in mixtures-of-experts of generalized linear time series.
CIFEr
Alexandre X. Carvalho, Martin A. Tanner
2002 J jnl
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm.
Neural Comput.
Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner
2000 J jnl
On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models.
IEEE Trans. Inf. Theory
Wenxin Jiang, Martin A. Tanner
1999 A conf
Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency.
AISTATS
Wenxin Jiang, Martin A. Tanner
1999 J jnl
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models.
Neural Comput.
Wenxin Jiang, Martin A. Tanner
1999 J jnl
On the identifiability of mixtures-of-experts.
Neural Networks
Wenxin Jiang, Martin A. Tanner
1998 A conf
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results.
UAI
Wenxin Jiang, Martin A. Tanner
1997 J jnl
A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures.
Neural Networks
Robert A. Jacobs, Fengchun Peng, Martin A. Tanner