William F. Christensen
Professor
|
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230
TMCB
Provo,UT 84604
Tel:801-422-7057
email: william “at” stat “dot” byu “dot” edu
Teaching
- Stat 121 - Principles of Statistics (see LearningSuite for details) – Some Supplemental Materials Here
- Stat 230 - Analysis of Variance
- Stat 435 - Nonparametric Statistical Methods
- Stat 666 - Multivariate Statistical Methods
Education
- Ph.D., Statistics, Iowa State University, 1999.
- M.S., Statistics, Brigham Young University, 1995.
- B.S., Statistics, Brigham Young University, 1994.
Research
Interests
- Pollution source apportionment
- Multivariate analysis
- Spatial and environmental statistics
- Resampling methods
- Climate and paleoclimate
- Applications of statistics in politics and law
Honors
- College of Physical & Mathematical Sciences Faculty Excellence in Teaching Award, Brigham Young University, 2013
- Faculty Heritage Fellowship in Statistical Science, Brigham Young University Department of Statistics, 2012-2013
- 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,
- Young Scholar Award, Brigham Young University, 2005-2008
Selected
Publications
- Long LN, and Christensen
WF. (2013) “When justices
(subconsciously) attack: The theory of argumentative threat and the
Supreme Court,” to appear in Oregon
Law Review.
- Burgener L, Rupper S,
Koenig L, Forster R, Christensen WF, Williams J, Koutnik M, Miege C, Steig E, Keeler D, and Riley L. (2013) “An observed negative trend in West
Antarctic accumulation rates from 1975 to 2010: evidence from new observed
and simulated records,” to appear in Journal
of Geophysical Research--Atmospheres.
- Rencher AC and Christensen WF. (2012)
Methods of Multivariate
Analysis, Third Edition. John
Wiley & Sons: New York.
- Christensen
WF and Sain
SR. (2012) “Latent
variable modeling for integrating output from multiple climate models,” Mathematical Geosciences, 44,
395-410, DOI:10.1007/s11004-011-9321-1.
- Williams B, Christensen WF, and
Reese CS. (2011)
“Pollution source direction identification: Embedding
dispersion models to solve an inverse problem,” Environmetrics, 22,
962-974, 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.
- 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.
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.