PUBLICATIONS

• Chang, W. and Haran, M. (2023) Computer model emulation and calibration for discrete data submitted to Handbook of Statistical Methods for Computer Modeling,
  
  
• Roth, S.*, Lee, S., Sharma, S., Hosseini-Shakib, I., Keller, K., and Haran, M. (2023) , Flood hazard model calibration using multiresolution model output Environmetrics, 34, 2
  
  
• Kang, B.*, Hughes, J.P., and Haran, M. (2023) Diagnostics for Monte Carlo Algorithms for Models with Intractable Normalizing Functions , submitted
  
  
• Kang, B.*, Hughes, J.P., and Haran, M. (2023) A Spatial Zero-Inflated Conway-Maxwell-Poisson Regression Model for US Vaccine Refusal , submitted
  
  
• Kelling, C.* and Haran, M. (2023) A Shared Component Point Process Model for Urban Policing , submitted
  
  
• Kang, B.*, Goldlust, S., Lee, Elizabeth, C., Hughes, J.P., Bansal, S. and Haran, M. (2023) Spatial distribution and determinants of childhood vaccination refusal in the United States, revised for Vaccine
  
  
• Chang, W.*, Konomi, B.A., Karagiannis, G., Guan, Y.*, and Haran, M. (2022) Ice Model Calibration using Semi-continuous Spatial Data, Annals of Applied Statistics, 16.3, 1937-1961.
  
  
• Li, X.*, Lan, Z., Ferrari, M., and Haran, M. (2022) Measles Burden Estimation Using Local Gaussian Process Classifiers , Submitted
  
  
• Kelling, C.* and Haran, M. (2022) A Two-Stage Cox Process Model with Spatial and Non-spatial Covariates , Spatial Statistics, 51: 100685.
  
  
• Sharma, S., Lee, S., Hosseini-Shakib, I., Haran, M., and Keller, K. (2022) Neglecting uncertainties surrounding model parameters can drastically underestimate flood risks, revised and resubmitted to Earth's Future
  
  
• Li, X.*, Ferrari, M., Tildesley, M.J., and Haran, M. (2021) A space-time model for inferring a susceptibility map for an infectious disease , Submitted
  
  
• Nichols, J.D., Bogich, T.L., Howerton, E., Bjornstad, O.N., Borchering, R.K., Ferrari, M.J., Haran, M., Jewell, C., Pepin, K.M., Probert, W.J.M, Pulliam, J.R.C., Runge, M.C., Tildesley, M., Viboud, C., Shea, K. (2021) Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making, PLOS Biology
  
  
• Lee, B.* and Haran, M. (2021+) PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models , Technometrics (to appear). Github repository of sample code
  
  
• Lee, B.*, Haran, M., Fuller, R.W., Pollard, D., and Keller, K. (2020) A Fast Particle-Based Approach for Calibrating a 3-D Model of the Antarctic Ice Sheet, Annals of Applied Statistics, 14, 2, 605-634.
  
  
• Park, J.*, and Haran, M. (2020) Reduced-dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models, Journal of Computational and Graphical Statistics, 1-15
  
  
• Park, J.*, and Haran, M. (2020) A Function Emulation Approach for Intractable Distributions , Journal of Computational and Graphical Statistics, 29(1), 66-77.
  
  
• Kelling, C.*, Korkmaz, G., Graif, C., and Haran, M. (2020) ``Combining Geographic and Social Proximity to Model Urban Domestic and Sexual Violence,'' Journal of Quantitative Criminology, 1-36.
  
  
• Paulson, J. et al. (2020) The Bacterial and Viral Complexity of Infant Postinfectious Hydrocephalus in Uganda Science Translational Medicine, 12(563).
  
  
• Guan, Y.*, Christian Sampson, J. Derek Tucker, Won Chang, Anirban Mondal, Murali Haran, and Deborah Sulsky (2019) Computer model calibration based on image warping metrics: an application for sea ice deformation, Journal of Agricultural, Biological, and Environmental Statistics, vol. 24(3), pages 444-463.
  
  
• Guan, Y.*, and Haran, M. (2019) Fast expectation-maximization algorithms for spatial generalized linear mixed models, submitted
  
  
• Goldstein, J.*, Park, J.*, Haran, M., Bjornstad, Liebhold, A. (2018) Quantifying Spatio-temporal Variation of Invasion Spread, Proceedings of the Royal Society (B), Volume 286, Issue 1894.
  
  
  • R package for above paper: InvasionSpeed
  
  
• R. Olson, K. L. Ruckert, W. Chang, K. Keller, M. Haran, and S.-I. An (2018): Stilt: easy emulation of AR(1) computer model output in multidimensional parameter space. Stilt: Easy Emulation of Time Series Climate Model Output in Multidimensional Parameter Space , The R Journal, 10(2), 209-225.
  
  
• Reich, B.J., and Haran, M. (2018) Precision maps for public health , Nature News and Views. February 2018.
  
  
• 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.
  
  
• Guan, Y.* and Haran, M. (2018) A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models, Journal of Computational and Graphical Statistics, 27(4), 701-714.
  
  
• Guan, Y.*, Haran, M., and Pollard, D. (2018) Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets, Environmetrics, 29.5-6
  
  
• Haran, M. (2018) Book Review of Efron and Hastie "Computer Age Statistical Inference" for Math Geosciences
  
  
• Park, J.*, Goldstein, J.*, Haran, M., and Ferrari, M. (2017) An Ensemble Approach to Predicting the Impact of Vaccination on Rotavirus Disease in Niger , Vaccine, 35, 43, Pages 5731-5946
  
  
• Haran, M., Chang, W.*, Keller, K., Nicholas, R., and Pollard, D. (2017) Statistics and the Future of the Antarctic Ice Sheet Chance, 30, 4, 37-44.
  
  
• Craigmile, P.F., Haran, M., Li, B., Mannshardt, E., Rajaratnam,B., Tingley, M. (2017) "Paleoclimate reconstruction: looking backwards to look forward," Handbook of Environmental and Ecological Statistics, Chapman and Hall/CRC, New York (edited volume).
  
  
• Russell, J.*, Hanks, E.M., Haran, M., and Hughes, D.P. (2017), A Spatially-Varying Stochastic Differential Equation Model for Animal Movement, Annals of Applied Statistics, 12(2), 1312-1331.
  
  
• Lee, B.*S., Haran, M., and Keller, K. (2017) Decadal-scale detection time for potentially increasing Atlantic storm surges in a warming climate, to appear in Geophysical Research Letters, 44, 20, pp 10,617-10,623
  
  
• Russell, J.*, Hanks, E.M., and Haran, M. (2016), Dynamic Models of Animal Movement with Spatial Point Process Interactions, Journal of Agricultural, Biological and Environmental Statistics, 21(1):22-40.
  
  
• 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
  • Correction to paper: Figures 4 and 7
  
  
• Chang, W.*, Haran, M., Applegate, P. and Pollard, D. (2016) Improving Ice Sheet Model Calibration Using Paleoclimate and Modern Data, Annals of Applied Statistics, 10, 4, 2274--2302.
  
  
• Pollard, D., Chang, W.*, Haran, M., Applegate, P., and DeConto, R. (2016) Large Ensemble modeling of last deglacial retreat of the West Antarctic Ice Sheet: Comparison of simple and advanced statistical techniques, Geoscientific Model Development, 9 ,1697-1723.
  
  
• Tingley, M., Craigmile, P.F., Haran, M., Li, B., Mannshardt, E. and Rajaratnam, B. (2015), "On discriminating between GCM forcing configurations using Bayesian reconstructions of Late-Holocene temperatures", Journal of Climate, 28,8264--8281.
  
  
• 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.*, Applegate, P., Haran, M. and Keller, K. (2014) Probabilistic calibration of a Greenland Ice Sheet model using spatially-resolved synthetic observations: toward projections of ice mass loss with uncertainties> , Geoscientific Model Development, 7 (2), 1933-1943, DOI:10.5194/gmd-7-1933-2014 (Geoscientific Model Development Discussion, 7, 1905-1931.)
  
  
• 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)
  
  
• Chang, W.*, Haran, M., Olson, R., and Keller, K. (2014) A composite likelihood approach to computer model calibration with high-dimensional spatial data, Statistica Sinica , 25 (2015), 243-259.
  
  
• Tibbits, M.M.*, Groendyke, C., Haran, M., and Liechty, J.C. (2014) Automated Factor Slice Sampling, Journal of Computational and Graphical Statistics 23, 2, 543.
  
  
• 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.
  
  
• Haran, M., Nicholas, R., and Keller, K. (2013) The Role of Statistics in Sustainability Research, Invited essay contribution for Mathematics Awareness Month 2013.
  
  
• 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, 769-771 .
  
  
• Olson, R., Sriver, R., Chang, W.*, Haran, M., Urban, N.M., Keller, K. (2013) Uncertainty in climate sensitivity estimates due to random realizations of unresolved climate noise, Journal of Geophysical Research - Atmospheres, 118 (10), 4348-4358.
  
  
• Hughes, J.P.* 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.
  
  
• Bao, L., Fricks, J., and Haran, M. (2012) Discussion of Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding Immune Response, Journal of the American Statistical Association.
  
  
• Bhat, K.S.*, Haran, M., Olson, R., and Keller, K. (2012) Inferring likelihoods and climate system characteristics from climate models and multiple tracers , Environmetrics, 23, 24, 345--362.
  
  A lecture I gave at Microsoft Research about this topic (2012)
  
  
• Olson, R., Sriver, R., Goes, M., Urban, N.M., Matthews, H.D., Haran, M., and Keller, K. (2012) A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model, Journal of Geophysical Research - Atmospheres, 117, D4, 1984--2012.
  
  
• 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.
  
  
• Recta, V.*, Haran, M., and Rosenberger, J.L. (2012) A two-stage model for incidence and prevalence in point-level spatial count data , Environmetrics, 23, 2, 162--174. bibtex
  
  
• Jandarov, R.*, Haran, M., and Ferrari, M. (2012) A Compartmental Model for Meningitis: Separating Transmission from Climate Effects on Disease Incidence Journal of Agricultural, Biological and Environmental Statistics, 2012, 17, 3, 395--416.
  
  
• Haran, M. and Tierney, L. (2012) On automating Markov chain Monte Carlo for a class of spatial models
  
  
• Hughes, J.P.*, Haran, M., and Caragea, P.C. (2011), Autologistic models for binary data on a lattice , Environmetrics, 7, 857--871.
  
  
• Bhat, K.S.*, Haran, M., Terando, A.J. and Keller, K. (2011) Climate Projections Using Bayesian Model Averaging and Space-Time Dependence. Journal of Agricultural, Biological and Environmental Statistics, 16, 4, pp. 606--628.
  
  
• Tibbits, M.M.*, Haran, M., and Liechty, J.C. (2011) Parallel multivariate slice sampling , Statistics and Computing 21, 3, 415--430.
  
  
• Haran, M. (2011) Gaussian random field models for spatial data, Handbook of Markov chain Monte Carlo, Editors, Brooks, S.P., Gelman, A.E. Jones, G.L. and Meng, X.L., Chapman and Hall/CRC, pp 449--473. bibtex
  
  
• Haran, M. and Urban, N. (2010), Discussion of McShane and Wyner ``A statistical analysis of multiple temperature proxies: are reconstructions of surface temperatures over the last 1000 years reliable? Annals of Applied Statistics. See all the discussions and the rejoinder here
  
  
• Bhat, K.S.*, Haran, M., and Goes, M. (2010) Computer model calibration with multivariate spatial output , in "Frontiers of Statistical Decision Making and Bayesian Analysis", eds. M-H. Chen et al., New York: Springer-Verlag, 2010, pp. 168--184. bibtex
  
  
• Goes, M., Urban, N., Olson, R., Haran, M., and Keller, K. (2010) The skill of different ocean tracers in reducing uncertainties about projections of the Atlantic Meridional Overturning Circulation , Journal of Geophysical Research--Oceans, in press bibtex
  
  
• Haran, M., Bhat, K.S.*, Molineros, J, and De Wolf, E. (2009) Estimating the risk of a crop epidemic from coincident spatiotemporal processes , Journal of Agricultural, Biological and Environmental Statistics, 1085-7117. bibtex
  
  
• Yang, T., Teng, H., and Haran, M. (2009) The impacts of social capital on infant mortalities in the U.S.: a spatial investigation Applied Spatial Analysis and Policy, 2, 3, 211--227.
  
  
• Yang, T., Jensen, L., and Haran, M. (2009) Social Capital and Human Mortality: Explaining the Rural Paradox with County-Level Mortality Data, accepted for publication in Rural Sociology.
  
  
• 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
  
  
• Yang, T., Jensen, L., and Haran, M. (2008) Context and death: A spatial investigation of the impacts of social capital and natural amenities on mortality in the U.S. counties, refereed discussion paper, Proceedings of the Population Association of America.
  
  
• Haran, M., Karr,A.F., Last,M., Orso,A. Porter,A., Sanil, A.P. and Fouche, S. (2007) Techniques for Classifying Executions of Deployed Software to Support Software Engineering Tasks, IEEE Transactions on Software Engineering , 33,5:287-304. bibtex
  
  
• 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
  
  
• Haran, M., Karr, A.F., Orso, A., Porter, A. and Sanil, A.P. (2005) Applying Classification Techniques to Remotely-Collected Program Execution Data in ESEC/FSE-13: Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering. bibtex
  
  
• Haran, M. (2003) Efficient Perfect and MCMC Sampling Methods for Bayesian Spatial and Components of Variance Models, Unpublished Ph.D. thesis, University of Minnesota.
  
  
• Haran, M., Hodges, J.S., and Carlin, B.P., (2003) Accelerating computation in Markov random field models for spatial data via structured MCMC,, Journal of Comp. and Graph. Statistics , 12, 249-264. bibtex
  
  
• Haran, M., Carlin, B.P., Adgate, J.L., Ramachandran, G., Waller, L.A., and Gelfand, A.E., Hierarchical Bayes models for relating particulate matter exposure measures,, Case Studies in Bayesian Statistics, Volume VI, eds. C.Gatsonis, et al., New York: Springer-Verlag, 2002. bibtex
  
  

Edited Volumes/Special Issues

• Modern Statistical Methods in Ecology , Statistical Methodology Special Issue , Edited by Peter F. Craigmile and Murali Haran. Volume 17, Pages 1-160, March 2014.
• Special Issue on Computer Models and Spatial Statistics in Environmental Science, Journal of Agricultural, Biological, and Environmental Statistics , Edited by Brian J. Reich and Murali Haran. Volume 16, Issue 4, December 2011.

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