William F. Christensen
Department of Statistics
Brigham Young University
email: william “at” stat “dot” byu “dot” edu
and environmental statistics
- Resampling methods
of statistics in politics and law
of Physical & Mathematical Sciences Faculty Excellence in Teaching
Award, Brigham Young University, 2013
Heritage Fellowship in Statistical Science, Brigham Young University
Department of Statistics, 2012-2013
Achievement Award, ASA Section on Statistics and the Environment, 2009
and Susan Wierman Lecturer in Air Quality Data
Analysis, Department of Applied Mathematics and Statistics, Johns Hopkins University,
Scholar Award, Brigham Young University, 2005-2008
- Long LN, and Christensen
WF. (2013) “When justices
(subconsciously) attack: The theory of argumentative threat and the
Supreme Court,” to appear in Oregon
- 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.
WF and Sain
SR. (2012) “Latent
variable modeling for integrating output from multiple climate models,” Mathematical Geosciences, 44,
- 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.
WF. (2011). “Filtered kriging
for spatial data with heterogeneous measurement error variances,” Biometrics, 67, 947-957,
- 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.
WF, and Schauer JJ. (2008). “Quantifying and
manipulating species influence in positive matrix factorization,” Chemometrics and Intelligent Laboratory
Systems, 94, 140-148.
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,
WF, Schauer JJ, and Lingwall
JW. (2006). “Iterated confirmatory factor analysis for pollution
source apportionment,” Environmetrics, 17,
WF. (2004). “Chemical mass balance
analysis of air quality data when unknown pollution sources are present,” Atmospheric
Environment, 38, 4305-4317.
and Gunst RF. (2004). “Measurement error
models in chemical mass balance analysis of air quality data,” Atmospheric
Environment, 38, 733-744.
and Amemiya Y. (2002). “Latent variable analysis
of multivariate spatial data,” Journal of the American Statistical
Association, 97, 302-317.
and Sain SR. (2002). “Accounting for
dependence in a flexible multivariate receptor model,” Technometrics,
vitae (.pdf format)
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who may be contacted at william
“at” stat “dot” byu “dot” edu.