William F. Christensen

Professor
Department of Statistics
Brigham Young University

http://statistics.byu.edu/faculty/wfc/byu01.gif

William2007


Department of Statistics

Brigham Young University

230 TMCB

Provo,UT 84604

Tel:801-422-7057

email: william “at” stat “dot” byu “dot” edu


Teaching


Education


Research Interests

  • Pollution source apportionment
  • Multivariate analysis
  • Spatial and environmental statistics
  • Resampling methods
  • Climate and paleoclimate
  • Applications of statistics in politics and law

Honors

  • Distinguished Achievement Award, ASA Section on Statistics and the Environment, 2009
  • John and Susan Wierman Lecturer in Air Quality Data Analysis, Department of Applied Mathematics and Statistics, Johns Hopkins University, 2008
  • Young Scholar Award, Brigham Young University, 2005-2008
  • Chair’s Outstanding Paper Award, 2002, 2004

Selected Publications

  • Williams B, Christensen WF, and Reese CS. (2011)  Pollution source direction identification: Embedding dispersion models to solve an inverse problem,” to appear in Environmetrics, DOI: 10.1002/env.1124.
  • Christensen WF.  (2011).  Filtered kriging for spatial data with heterogeneous measurement error variances,” Biometrics, 67, 947-957, DOI: 10.1111/j.1541-0420.2011.01563.x.
  • Thomas AM, Rupper S, Christensen WF. (2011). “Characterizing the statistical properties and interhemispheric distribution of Dansgaard-Oeschger events,” Journal of Geophysical Research -- Atmospheres, 116, D03103, doi:10.1029/2010JD014834.
  • Christensen WF and Sain SR.  (2011)  “Latent variable modeling for integrating output from multiple climate models,” to appear in Mathematical Geosciences, DOI:10.1007/s11004-011-9321-1.
  • Heaton MJ, Reese CS, and Christensen WF. (2010). “Incorporating time-dependent source profiles using the Dirichlet distribution in multivariate receptor models,” Technometrics, 52, 67-79.
  • Christensen WF, and Schauer JJ. (2008). “Quantifying and manipulating species influence in positive matrix factorization,” Chemometrics and Intelligent Laboratory Systems, 94, 140-148.
  • Christensen WF, and Schauer JJ. (2008). “Impact of species uncertainty perturbation on the solution stability of positive matrix factorization of atmospheric particulate matter data,” Environmental Science & Technology, 42, 6015-6021.
  • Lingwall JW, Christensen WF, and Reese CS. (2008).  Dirichlet based Bayesian multivariate receptor modeling,” Environmetrics, 19, 618-629.
  • Christensen WF, Schauer JJ, and Lingwall JW. (2006).  “Iterated confirmatory factor analysis for pollution source apportionment,” Environmetrics, 17, 663-681.
  • Christensen WF. (2004).  “Chemical mass balance analysis of air quality data when unknown pollution sources are present,” Atmospheric Environment, 38, 4305-4317.
  • Christensen WF, and Gunst RF. (2004).  “Measurement error models in chemical mass balance analysis of air quality data,” Atmospheric Environment, 38, 733-744.
  • Christensen WF, and Amemiya Y. (2002).  “Latent variable analysis of multivariate spatial data,” Journal of the American Statistical Association, 97, 302-317.
  • Christensen WF, and Sain SR. (2002).  “Accounting for dependence in a flexible multivariate receptor model,” Technometrics, 44, 328-337.

Curriculum vitae (.pdf format)


Not-so-serious stuff


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The contents of this Web page are the sole responsibility of William F. Christensen and do not necessarily represent the opinions or policies of Brigham Young University.  The administrator of this Web page is William F. Christensen, who may be contacted at william “at” stat “dot” byu “dot” edu.

 

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