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Brian D. Marx
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2020 – today
- 2022
- [j8]Lawrence J. Smolinsky, Bernhard Klingenberg, Brian D. Marx:
Interpretation and inference for altmetric indicators arising from sparse data statistics. J. Informetrics 16(1): 101250 (2022) - [i1]Lawrence J. Smolinsky, Bernhard Klingenberg, Brian D. Marx:
Interpretation and inference for altmetric indicators arising from sparse data statistics. CoRR abs/2201.03492 (2022)
2010 – 2019
- 2018
- [j7]Lawrence J. Smolinsky, Brian D. Marx:
Odds ratios, risk ratios, and Bornmann and Haunschild's new indicators. J. Informetrics 12(3): 732-735 (2018) - 2010
- [j6]Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx:
Transforms of pseudo-Boolean random variables. Discret. Appl. Math. 158(1): 13-24 (2010) - [j5]Brian D. Marx, Paul H. C. Eilers, Jutta Gampe, Roland Rau:
Bilinear modulation models for seasonal tables of counts. Stat. Comput. 20(2): 191-202 (2010)
2000 – 2009
- 2009
- [c5]Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx:
Learning Terrorist Profiles by Optimization with Two Objectives. IKE 2009: 364-369 - 2008
- [c4]Jianhua Chen, Jian Xu, Peter P. Chen, Guoli Ding, Robert F. Lax, Brian D. Marx:
Fuzzy Clustering and Iterative Relational Classification for Terrorist Profiling. GrC 2008: 142-147 - [c3]K. Nunez, Jianhua Chen, Peter P. Chen, Guoli Ding, Robert F. Lax, Brian D. Marx:
Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k. ICMLA 2008: 106-111 - [c2]Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx:
Local Soft Belief Updating for Relational Classification. ISMIS 2008: 525-534 - 2007
- [j4]Susanne Heim, Ludwig Fahrmeir, Paul H. C. Eilers, Brian D. Marx:
3D space-varying coefficient models with application to diffusion tensor imaging. Comput. Stat. Data Anal. 51(12): 6212-6228 (2007) - [c1]Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx:
Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k. MLMTA 2007: 294- - 2005
- [j3]Brian D. Marx, Paul H. C. Eilers:
Multidimensional Penalized Signal Regression. Technometrics 47(1): 13-22 (2005)
1990 – 1999
- 1999
- [j2]Brian D. Marx, Paul H. C. Eilers:
Generalized Linear Regression on Sampled Signals and Curves: A P-Spline Approach. Technometrics 41(1): 1-13 (1999) - 1995
- [j1]Brian D. Marx:
Multivariate Statistical Modelling Based on Generalized Linear Models (Ludwig Fahrmeir and Gerhard Tutz). SIAM Rev. 37(4): 633-634 (1995)
Coauthor Index
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