Daniel J. Nordman

Publication Activity (10 Years)

Years Active: 2002-2019
Publications (10 Years): 5

Top Topics

Equivalence Class

Restricted Boltzmann Machine

Community Detection

Bayesian Nonparametric

Top Venues

J. Multivar. Anal.

Stat. Anal. Data Min.

Publications

Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman
Properties and Bayesian fitting of restricted Boltzmann machines. Stat. Anal. Data Min. 12 (1) (2019)
Guillermo Basulto-Elias, Alicia L. Carriquiry, Kris De Brabanter, Daniel J. Nordman
fourierin: An R package to compute Fourier integrals. R J. 9 (2) (2017)
Andee Kaplan, Heike Hofmann, Daniel J. Nordman
An interactive graphical method for community detection in network data. Comput. Stat. 32 (2) (2017)
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) (2016)
Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman
On the propriety of restricted Boltzmann machines. CoRR (2016)
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) (2015)
Bryan Stanfill, Ulrike Genschel, Heike Hofmann, Daniel J. Nordman
Nonparametric confidence regions for the central orientation of random rotations. J. Multivar. Anal. 135 (2015)
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)
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 (2014)
Yu Qiu, Daniel J. Nordman, Stephen B. Vardeman
One-sample Bayes inference for symmetric distributions of 3-D rotations. Comput. Stat. Data Anal. 71 (2014)
Young Min Kim, Daniel J. Nordman
A frequency domain bootstrap for Whittle estimation under long-range dependence. J. Multivar. Anal. 115 (2013)
Jiqiang Guo, Alyson G. Wilson, Daniel J. Nordman
Bayesian Nonparametric Models for Community Detection. Technometrics 55 (4) (2013)
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) (2010)
Daniel J. Nordman, William Q. Meeker
Weibull Prediction Intervals for a Future Number of Failures. Technometrics 44 (1) (2002)