Brian D. Marx

According to our database, Brian D. Marx authored at least 13 papers between 1995 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Interpretation and inference for altmetric indicators arising from sparse data statistics.

Lawrence J. Smolinsky, Bernhard Klingenberg, Brian D. Marx

J. Informetrics, 2022

2018

Odds ratios, risk ratios, and Bornmann and Haunschild's new indicators.

Lawrence J. Smolinsky, Brian D. Marx

J. Informetrics, 2018

2010

Bilinear modulation models for seasonal tables of counts.

Brian D. Marx, Paul H. C. Eilers, Jutta Gampe, Roland Rau

Stat. Comput., 2010

Transforms of pseudo-Boolean random variables.

Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx

Discret. Appl. Math., 2010

2009

Learning Terrorist Profiles by Optimization with Two Objectives.

Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx

Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009

2008

Local Soft Belief Updating for Relational Classification.

Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k.

K. Nunez, Jianhua Chen, Peter P. Chen, Guoli Ding, Robert F. Lax, Brian D. Marx

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Fuzzy Clustering and Iterative Relational Classification for Terrorist Profiling.

Jianhua Chen, Jian Xu, Peter P. Chen, Guoli Ding, Robert F. Lax, Brian D. Marx

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007

3D space-varying coefficient models with application to diffusion tensor imaging.

Susanne Heim, Ludwig Fahrmeir, Paul H. C. Eilers, Brian D. Marx

Comput. Stat. Data Anal., 2007

Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k.

Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx

Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

2005

Multidimensional Penalized Signal Regression.

Brian D. Marx, Paul H. C. Eilers

Technometrics, 2005

1999

Generalized Linear Regression on Sampled Signals and Curves: A P-Spline Approach.

Brian D. Marx, Paul H. C. Eilers

Technometrics, 1999

1995

Multivariate Statistical Modelling Based on Generalized Linear Models (Ludwig Fahrmeir and Gerhard Tutz).

Brian D. Marx

SIAM Rev., 1995