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Daniel J. Nordman
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2010 – 2019
- 2019
- [j11]Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman:
Properties and Bayesian fitting of restricted Boltzmann machines. Stat. Anal. Data Min. 12(1): 23-38 (2019) - 2017
- [j10]Andee Kaplan, Heike Hofmann, Daniel J. Nordman:
An interactive graphical method for community detection in network data. Comput. Stat. 32(2): 535-557 (2017) - [j9]Guillermo Basulto-Elias, Alicia L. Carriquiry, Kris De Brabanter, Daniel J. Nordman:
fourierin: An R package to compute Fourier integrals. R J. 9(2): 72 (2017) - 2016
- [j8]Chuanlong Du, Daniel J. Nordman, Stephen B. Vardeman:
Bayesian Inference for a New Class of Distributions on Equivalence Classes of Three-Dimensional Orientations With Applications to Materials Science. Technometrics 58(2): 214-224 (2016) - [i2]Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman:
On the propriety of restricted Boltzmann machines. CoRR abs/1612.01158 (2016) - 2015
- [j7]Jonathan W. Berry, Luke A. Fostvedt, Daniel J. Nordman, Cynthia A. Phillips, C. Seshadhri, Alyson G. Wilson:
Why Do Simple Algorithms for Triangle Enumeration Work in the Real World? Internet Math. 11(6): 555-571 (2015) - [j6]Bryan Stanfill, Ulrike Genschel, Heike Hofmann, Daniel J. Nordman:
Nonparametric confidence regions for the central orientation of random rotations. J. Multivar. Anal. 135: 106-116 (2015) - 2014
- [j5]Yu Qiu, Daniel J. Nordman, Stephen B. Vardeman:
One-sample Bayes inference for symmetric distributions of 3-D rotations. Comput. Stat. Data Anal. 71: 520-529 (2014) - [c1]Jonathan W. Berry, Luke K. Fostvedt, Daniel J. Nordman, Cynthia A. Phillips, C. Seshadhri, Alyson G. Wilson:
Why do simple algorithms for triangle enumeration work in the real world? ITCS 2014: 225-234 - [i1]Jonathan W. Berry, Luke A. Fostvedt, Daniel J. Nordman, Cynthia A. Phillips, C. Seshadhri, Alyson G. Wilson:
Why do simple algorithms for triangle enumeration work in the real world? CoRR abs/1407.1116 (2014) - 2013
- [j4]Young Min Kim, Daniel J. Nordman:
A frequency domain bootstrap for Whittle estimation under long-range dependence. J. Multivar. Anal. 115: 405-420 (2013) - [j3]Jiqiang Guo, Alyson G. Wilson, Daniel J. Nordman:
Bayesian Nonparametric Models for Community Detection. Technometrics 55(4): 390-402 (2013) - 2010
- [j2]Melissa A. Bingham, Daniel J. Nordman, Stephen B. Vardeman:
Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution. Comput. Stat. Data Anal. 54(5): 1317-1327 (2010)
2000 – 2009
- 2002
- [j1]Daniel J. Nordman, William Q. Meeker:
Weibull Prediction Intervals for a Future Number of Failures. Technometrics 44(1): 15-23 (2002)
Coauthor Index
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