I am an associate professor of statistics at Pennsylvania State
University. I received my Ph.D. from the School of Statistics at the University
of Minnesota and a B.S. in
Computer Science from Carnegie Mellon University. I was a
postdoctoral fellow at the National
Institute of Statistical Sciences (courtesy appointment at Duke
University) (2003--2004) and a New Research Fellow at the Statistical and Applied Mathematical
Sciences Institute (SAMSI) program (2009--2010) on space-time
analysis.
I am on sabbatical at the Department of Statistics, University of Washington, Seattle for the academic year 2011--2012. You can still reach me via my Penn State email address while I am away.
Research
My research interests include statistical computing (Markov chain
Monte Carlo algorithms) and models for spatial data and computer
experiments (primarily involving Gaussian random fields and Bayesian
hierarchical models), with applications to problems in climate
science, disease modeling, ecology and epidemiology. I have also
worked on statistical techniques called random forests for
applications in software engineering research. For more, please see:
background and more on my research.
Select papers (link to longer list: publications )
Tingley, M., Craigmile, P.F., Haran, M., Li, B., Mannshardt-Shamseldin, E. and Rajaratnam, B. (2012), Piecing together the past: Statistical insights into paleoclimatic reconstructions , Quarternary Science Reviews, in press
Jandarov, R., Haran, M., and Ferrari, M. (2011) "A Compartmental Model for Meningitis: Separating Transmission from Climate Effects on Disease Incidence," under revision
Jandarov, R., Haran, M., Bjornstad, O.N. and Grenfell, B.T. (2011) "Emulating a gravity model to infer the spatiotemporal dynamics of an infectious disease" submitted
Hughes, J. and Haran, M. (2011), Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models , under revision
Tingley, M., Craigmile, P.F., Haran, M., Li, B., Mannshardt-Shamseldin, E. and Rajaratnam, B. (2010), Piecing together the past: Statistical insights into paleoclimatic reconstructions , submitted
Tibbits, M.M., Haran, M., Liechty, J.L. (2010)
Parallel multivariate slice sampling , to appear in Statistics and Computing bibtex
Haran, M. and Tierney, L. (2010) On automating Markov chain Monte Carlo for a class of spatial models , tentatively accepted for publication in Bayesian Analysis bibtex
Haran, M. (2010)
Gaussian random field models for spatial data, to appear in Handbook of Markov chain Monte Carlo, Editors, Brooks, S.P., Gelman, A.E. Jones, G.L. and Meng, X.L., Springer-Verlag. bibtex
Bhat, K.S., Haran, M., Tonkonojenkov, R., and Keller, K. (2010)
Inferring likelihoods and climate system characteristics from climate
models and multiple tracers , submitted bibtex
Haran, M., Bhat, K.S., Molineros, J, and De Wolf, E. (2010)
Estimating the risk of a crop epidemic from coincident spatiotemporal processes , Journal of Agricultural, Biological and Environmental Statistics, 1085-7117. bibtex
Flegal, J.M., Haran, M., and Jones, G.L. (2008) Markov chain Monte
Carlo: Can we trust the third significant figure?
Statistical Science, 23,250--260. bibtex
Code that implements the consistent batch means
procedure for MCMC standard errors as described in the paper: R function
and C function
for consistent batch means
Jones, G.L., Haran, M., Caffo, B.S. and Neath, R. (2006)
Fixed Width Output Analysis for Markov chain Monte Carlo ,
Journal of the American Statistical Association, 101:1537--1547. bibtex
Teaching
Stochastic Processes and Monte Carlo Methods (STAT 515), spring 2011 , (also spring 2005-2010).
Computational Statistics (STAT 440), spring 2011
Introduction to Probability Theory (STAT 414) (spring 2009, fall 2010).
Spatial Models (STAT 597A) (fall 2006, 2007, spring 2010).
Elementary Statistics (STAT 200 (Honors)), fall 2004-2008.
Advances in Ecology (ECLGY 597B), fall 2006-2008
MCMC Tutorial for Center for Astrostatistics Summer School, June 2005-2010.
Elementary Statistics (STAT 200), fall 2004.
Everything Else
Non-academic
* pronunciation guide for
first name: "u" is pronounced as in the first "u" in "aluminum"
("aluminium" if you are not American). If you pretend the "a" in
"Murali" is silent, you're pretty much on the money (strictly
speaking, the "a" leads to a quick "uh" sound, i.e., the pronunciation
is Mu-ruh-lee, but this is so subtle that it's worth ignoring.)
For the
last name, pronounce "Huh-run", with the emphasis on the first
syllable.
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