Primary Research Interests
- Statistical computing, primarily Markov chain Monte Carlo algorithms
- Models for spatial data: Gaussian random field models, Bayesian hierarchical models
- Complex computer models/computer experiments: statistical emulation and calibration
- Cross-disciplinary research in environmental sciences: climate science, disease modeling, ecology
CV and Short bio
Dr. Murali Haran is Professor and Head of the Department of
Statistics at Pennsylvania State University. He has a PhD in
Statistics from the University of Minnesota, and a BS in Computer
Science from Carnegie Mellon University. His research interests are in
Monte Carlo algorithms, spatial models, statistical analysis of
complex computer models, and interdisciplinary work in climate science
and infectious diseases.
Longer bio also has a list of current and former graduate students.
Haran, M., Bandeen-Roche, K., Horton, N., Johnson, G., and Kim, M. (2019) Advice for New Faculty Amstat News, July 2019 based on a NISS webinar video on YouTube .
Haran, M. and Hunter, D.R. (2016) On Academic Mentoring Amstat News, September 2016.
Selected Papers (link to longer list of publications and google scholar references ) and current CV
- Park, J. and Haran, M. (2018) Bayesian Inference in the Presence of Intractable Normalizing Functions , accepted for publication in the Journal of the American Statistical Association
- Chang, W., Haran, M., Applegate, P., and Pollard, D. (2016) Calibrating an ice sheet model using high-dimensional binary spatial data , Journal of the American Statistical Association, 111, 513, 27-72
- Goldstein, J., Haran, M., Simeonov, I., Fricks, J., and Chiaromonte, F. (2015) An attraction-repulsion point process model for respiratory syncytial virus infections Biometrics, 71, 2, pp 376--385 ( Winner of student paper competition at the Graybill/ENVR 2014 conference)
- Chang, W., Haran, M., Olson, R., and Keller, K. (2014) Fast dimension-reduced climate model calibration and the effect of data aggregation, Annals of Applied Statistics, 8, 2, pp 649--673. (Winner of the 2014 American Statistical Association Section on Statistics and the Environment Student Paper Competition)
- Jandarov, R., Haran, M., Bjornstad, O.N. and Grenfell, B.T. (2014) Emulating a gravity model to infer the spatiotemporal dynamics of an infectious disease Journal of the Royal Statistical Society, Series C, 63, 3, pp. 423--444.
- Katz, R.W., Craigmile, P.F., Guttorp, P., Haran, M., Sanso, B. and Stein, M.L. (2013) Uncertainty Analysis in Climate Change Assessments , Nature Climate Change, 3, pp. 769--771 .
- Hughes, J. and Haran, M. (2013), Dimension Reduction and
Alleviation of Confounding for Spatial Generalized Linear Mixed Models
, Journal of the Royal
Statistical Society, Series B, 75, 1, 139--159.
Software for this approach may be found here: ngspatial
- 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 , Quaternary Science Reviews, 35, 1--22.
- Haran, M. (2011)
Gaussian random field models for spatial data, in Handbook of Markov chain Monte Carlo, Editors, Brooks, S.P., Gelman, A.E. Jones, G.L. and Meng, X.L., Springer-Verlag. bibtex
- Hughes, J.P., Haran, M., and Caragea, P.C. (2011), Autologistic models for binary data on a lattice , Environmetrics, 7, 857--871.
- Flegal, J.M., Haran, M., and Jones, G.L. (2008) Markov chain Monte Carlo: Can we trust the third
significant figure? Statistical Science,
for consistent batch means estimator for MCMC standard errors as described in the paper: R
package on CRAN , R function
and C function
- 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
SMAC (Stochastic Modeling and Computing) Seminar Series
- Co-Editor: Bayesian Analysis (2016--2018)
- Associate editor: The American Statistician (2015--present). (Past) associate editor Journal of Agricultural, Biological and Environmental Statistics (2010--2015); Biometrics (2009--2011); Bayesian Analysis (2010--2015)
- Schreyer Honors College adviser for Statistics and Honors College thesis adviser
- Chair of the American Statistical Association (ASA) Section on Risk Analysis 2013-2014
- Treasurer for the International Society for Bayesian Analysis ( ISBA ) 2014--2016
- (Past) Chair of the Penn State Statistics Undergraduate Program: 2012--2016
- Climate Science Related Roles:
- Co-leader for Uncertainty Quantification Group in the NSF network SCRiM (Sustainable Climate Risk Management), multi-institution network with Penn State as the hub
- PI on NSF-CDSE grant Statistical Methods for Ice Sheet Projections using Large Non-Gaussian Space-time Data Sets and Complex Computer Models, 7/01/2014--6/30/2017.
- Director of the Penn State Node of the NSF research network STATMOS , Statistical Methods for Atmospheric and Oceanic Sciences.
- Member of the ASA Advisory Committee on Climate Change Policy 2009--2014
- Co-Director of CLIMA Center for Climate Risk Management at Penn State.
General articles on statistics: STATISTICS-AT-LARGE
Everything Else: NON-ACADEMIC