PUBLICATIONS

- Park, J. and Haran, M. (2018) Bayesian Inference in the Presence of Intractable Normalizing Functions tentatively accepted for publication in the
Journal of the American Statistical Association

- Guan, Y. and Haran, M. (2018) A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models, to appear in the
Journal of Computational and Graphical Statistics

- 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," to appear in the
Handbook of Environmental and Ecological Statistics.

- Russell, J., Hanks, E.M., Haran, M., and Hughes, D.P. (2017), A Spatially-Varying Stochastic Differential Equation Model for Animal Movement, to appear in the
Annals of Applied Statistics

- 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

- Guan, Y., Haran, M., and Pollard, D. (2017) Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets, to appear in
Environmetrics

- 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.

- Goldstein, J., Haran, M., Bjornstad, Liebhold, A. (2015) Quantifying SpatioTemporal Variation of Invasion Spread,
under revision.

- 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(Winnerof 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, also: 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. (Winnerof 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 Statistics23, 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.

- 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. 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 pressbibtex

- 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

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- 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.