Murali Haran ^{ pronunciation }

Professor and Head, Department of Statistics, Penn State University

Office: Thomas 421D (morning)/326 (afternoon)

Phone: 814-863-8126

B.S. Computer Science (minors: statistics, mathematics and film), Carnegie Mellon U. 1997.

M.S., Ph.D. Statistics, University of Minnesota, 2003.

Postdoctoral fellow, NISS (courtesy appointment at Duke University) (2003--2004).

CV and bio, which also has a list of current and former graduate students.

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

- climate science
- infectious disease modeling

- Ashtekar Frontiers of Science public lecture (Penn State, January 2020): Statistics and the Future of the Antarctic Ice Sheet
- STAMPS Webinar Series (Carnegie Mellon University, November 2020): Statistical Methods for Ice Sheet Model Calibration

Advice/mentoring

- NISS Academic Career Fair 2021 (on YouTube) : Advice for an academic job search + information about hiring at Penn State Statistics
- Penn State Statistics is looking to hire faculty for multiple positions this year (2021 -- 2022)

- Tenure-track at multiple levels (apply) : senior (associate and full professor) candidate application reviews have already begun while junior candidate (assistant professor) application reviews will begin in November
- Faculty position in the Statistical Consulting Center (apply)
- Teaching faculty positions (apply)
- Haran, M., Bandeen-Roche, K., Horton, N., Johnson, G., and Kim, M. (2019) Advice for New Faculty
Amstat News, July 2019based on a NISS webinar video on YouTube .

- Haran, M. and Hunter, D.R. (2016) On Academic Mentoring
Amstat News, September 2016.- Checklist for faculty mentors

Teaching

- Computationally-intensive Probability and Statistics, Fall 2019
- Data Science through Statistical Reasoning and Computation, Spring 2018
- Courses Taught in Previous Semesters

Selected Papers(link to longer list of publications and google scholar references ) andcurrent CV

- Lee, B. and Haran, M. (2021+) PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models ,
Technometrics (to appear).

- Park, J. and Haran, M. (2018) Bayesian Inference in the Presence of Intractable Normalizing Functions ,
Journal of the American Statistical Association, 113, 523, 1372-1390.

- 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(Winnerof 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,23,250--260. bibtex

Code 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

- Ph.D. Theses: current and past students
- M.S. Theses: current and past students
- B.S./Honors Theses: current and past students

SMAC (Stochastic Modeling and Computing) Seminar Series

Other Roles

- Co-Editor:
Bayesian Analysis (2016--2018)- Associate editor:
Technometrics (2019-- present)The American Statistician (2015--2017). (Past) associate editorJournal 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 Analysis2013-2014- 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