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
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Calibration Model Uncertainty Projection Model Calibration Ice Climate Modeling Sampling High Dimensional Bayesian Inference Spatial Data Markov Chain Monte Carlo Vaccination Parameter Maximum Likelihood Infectious Diseases Decision Making Data Aggregation Generalized Linear Mixed Model Domestic Violence Gravity Model Childhood Climate Models Ice SheetMost Recent Publications
Bayesian Spatial Models for Projecting Corn Yields
Samantha Roth, Ben Seiyon Lee, Robert E. Nicholas, Klaus Keller, Murali Haran, 2024, Remote Sensing
Spatial distribution and determinants of childhood vaccination refusal in the United States
Bokgyeong Kang, Sandra Goldlust, Elizabeth C. Lee, John Hughes, Shweta Bansal, Murali Haran, 2023, Vaccine on p. 3189-3195
Flood hazard model calibration using multiresolution model output
Samantha M. Roth, Ben Seiyon Lee, Sanjib Sharma, Iman Hosseini-Shakib, Klaus Keller, Murali Haran, 2023, Environmetrics
Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks
Sanjib Sharma, Benjamin Seiyon Lee, Iman Hosseini-Shakib, Murali Haran, Klaus Keller, 2023, Earth's Future
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
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
Most-Cited Papers
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
Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Murali Haran, 2018, Journal of the American Statistical Association on p. 1372-1390
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
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
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
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
A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models
Yawen Guan, Murali Haran, 2018, Journal of Computational and Graphical Statistics on p. 701-714
Probabilistic calibration of a Greenland ice sheet model using spatially resolved synthetic observations: Toward projections of ice mass loss with uncertainties
W. Chang, P. J. Applegate, M. Haran, K. Keller, 2014, Geoscientific Model Development on p. 1933-1943