Murali Haran
Associate Professor of Statistics
Research Summary
Statistical computing (Markov chain Monte Carlo algorithms); spatial models (Gaussian random field models); methods for complex computer models; interdisciplinary collaborations in environmental sciences, climate science, disease modeling, ecology
Huck Affiliations
Links
Publication Tags
Model Calibration Climate Uncertainty Model Calibration Projection Bayesian Inference Modeling Ice Sampling Emulation Spatial Data Infectious Diseases Dimension Reduction Markov Chain Monte Carlo Earth (Planet) Random Graphs Graph Model High Dimensional Maximum Likelihood Decision Making Data Aggregation Gravity Model Confounding Domestic ViolenceMost Recent Publications
A two-stage Cox process model with spatial and nonspatial covariates
Claire Kelling, Murali Haran, 2022, Spatial Statistics
ICE MODEL CALIBRATION USING SEMICONTINUOUS SPATIAL DATA
Won Chang, Bledar A. Konomi, Georgios Karagiannis, Yawen Guan, Murali Haran, 2022, Annals of Applied Statistics on p. 1937-1961
Flood hazard model calibration using multiresolution model output
Samantha M. Roth, Ben Seiyon Lee, Sanjib Sharma, Iman Hosseini-Shakib, Klaus Keller, Murali Haran, 2022, Environmetrics
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models
Ben Seiyon Lee, Murali Haran, 2022, Technometrics on p. 187-198
Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods
Claire Kelling, Corina Graif, Gizem Korkmaz, Murali Haran, 2021, Journal of Quantitative Criminology on p. 481-516
Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models
Jaewoo Park, Murali Haran, 2021, Journal of Computational and Graphical Statistics on p. 269-283
Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making
James Nichols, Tiffany Bogich, Emily Howerton, Bj\ornstad, Ottar N, Ottar N. Bjørnstad, Rebecca Borchering, Matthew Ferrari, Murali Haran, Christopher Jewell, K Pepin, William Probert, others, Juliet R.C. Pulliam, Michael C. Runge, Michael Tildesley, Cecile Viboud, Katriona Shea, 2021, PLoS Biology on p. e3001307
A Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Murali Haran, 2020, Journal of Computational and Graphical Statistics on p. 66-77
Paenibacillus infection with frequent viral coinfection contributes to postinfectious hydrocephalus in Ugandan infants
Joseph N. Paulson, Brent L. Williams, Christine Hehnly, Nischay Mishra, Shamim A. Sinnar, Lijun Zhang, Paddy Ssentongo, Edith Mbabazi-Kabachelor, Dona S.S. Wijetunge, Benjamin Von Bredow, Ronnie Mulondo, Julius Kiwanuka, Francis Bajunirwe, Joel Bazira, Lisa M. Bebell, Kathy Burgoine, Mara Couto-Rodriguez, Jessica E. Ericson, Tim Erickson, Matthew Ferrari, Melissa Gladstone, Cheng Guo, Murali Haran, Mady Hornig, Albert M. Isaacs, Brian Nsubuga Kaaya, Sheila M. Kangere, Abhaya V. Kulkarni, Elias Kumbakumba, Xiaoxiao Li, David D. Limbrick, Joshua Magombe, Sarah U. Morton, John Mugamba, James Ng, Peter Olupot-Olupot, Justin Onen, Mallory R. Peterson, Farrah Roy, Kathryn Sheldon, Reid Townsend, Andrew D. Weeks, Andrew J. Whalen, John Quackenbush, Peter Ssenyonga, Michael Y. Galperin, Mathieu Almeida, Hannah Atkins, Benjamin C. Warf, W. Ian Lipkin, James R. Broach, Steven J. Schiff, 2020, Science Translational Medicine on p. eaba0565
A fast particle-based approach for calibrating a 3-d model of the antarctic ice sheet
Ben Seiyon Lee, Murali Haran, Robert W. Fuller, David Pollard, Klaus Keller, 2020, Annals of Applied Statistics on p. 605-634
Most-Cited Papers
Dimension reduction and alleviation of confounding for spatial generalized linear mixed models
John Hughes, Murali Haran, 2013, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 139-159
Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: Comparison of simple and advanced statistical techniques
David Pollard, Won Chang, Murali Haran, Patrick Applegate, Robert DeConto, 2016, Geoscientific Model Development on p. 1697-1723
Uncertainty analysis in climate change assessments
Richard W. Katz, Peter F. Craigmile, Peter Guttorp, Murali Haran, Bruno Sansó, Michael L. Stein, 2013, Nature Climate Change on p. 769-771
Fast dimension-reduced climate model calibration and the effect of data aggregation
Won Chang, Murali Haran, Roman Olson, Klaus Keller, 2014, Annals of Applied Statistics on p. 649-673
Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data
Won Chang, Murali Haran, Patrick Applegate, David Pollard, 2016, Journal of the American Statistical Association on p. 57-72
Emulating a gravity model to infer the spatiotemporal dynamics of an infectious disease
Roman Jandarov, Murali Haran, Ottar Bjørnstad, Bryan Grenfell, 2014, Journal of the Royal Statistical Society. Series C: Applied Statistics on p. 423-444
Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Murali Haran, 2018, Journal of the American Statistical Association on p. 1372-1390
Automated factor slice sampling
Matthew M. Tibbits, Chris Groendyke, Murali Haran, John C. Liechty, 2014, Journal of Computational and Graphical Statistics on p. 543-563
What is the effect of unresolved internal climate variability on climate sensitivity estimates?
R. Olson, R. Sriver, W. Chang, M. Haran, N. M. Urban, K. Keller, 2013, Journal of Geophysical Research: Atmospheres on p. 4348-4358
Multidecadal Scale Detection Time for Potentially Increasing Atlantic Storm Surges in a Warming Climate
Benjamin Seiyon Lee, Murali Haran, Klaus Keller, 2017, Geophysical Research Letters on p. 10,617-10,623