1. Calder, C.A., Holloman, C., and Higdon, D. (2002). Exploring Space-Time Structure in Ozone Concentration Using a Dynamic Process Convolution Model. In Case Studies in Bayesian Statistics 6, 165-176.
  2. Calder, C.A., Lavine, M., Müller, P., and Clark, J.S. (2003). Incorporating Multiple Sources of Stochasticity into Dynamic Population Models, Ecology, 84(6), 1395-1402.
  3. Dunson, D.B., Holloman, C., Calder, C., and Gunn, L. (2004). Bayesian Modeling of Multiple Lesion Onset and Growth from Interval Censored Data. Biometrics, 60(3), 676-683.
  4. Holloman, C.H., Bortnick, S., Morara, M., Strauss, W., and Calder, C.A. (2004). A Bayesian Hierarchical Approach for Relating PM2.5 Exposure to Cardiovascular Mortality in North Carolina. Environmental Health Perspectives, 112(3), 1282-1288.
  5. Lee, H.K.H., Higdon, D.M., Calder, C.A., and Holloman, C.H. (2004). Efficient Models for Correlated Data via Convolutions of Intrinsic Processes. Statistical Modelling, 5(1), 53-74.
  6. Mosley-Thompson, E., Readinger, C.R., Craigmile, P.F., Thompson, L.G., and Calder, C.A. (2005). Regional Sensitivity of Greenland Precipitation to NAO Variability. Geophysical Research Letters, 32, L24707, DOI:10.1029/2005GL024776.
  7. Calder, C.A. (2007). Dynamic Factor Process Convolution Models for Multivariate Space-Time Data with Application to Air Quality Assessment. Environmental and Ecological Statistics, 14, 229-247, DOI:10.1007/s10651-007-0019-y.
  8. Cressie, N., Buxton, B.E., Calder, C.A., Craigmile, P.F., Dong, C., McMillan, N.J., Morara, M., Santner, T.J., Wang, K., Young, G., and Zhang, J. (2007). From Sources to Biomarkers: A Hierarchical Bayesian Approach for Human Exposure Modeling. Journal of Statistical Planning and Inference, 137, 3361-3379.
  9. Li, H., Calder, C.A., and Cressie, N. (2007). Beyond Moran’s I: Testing for Spatial Dependence Based on the SAR Model. Geographical Analysis, 39, 357-375.
  10. Wheeler, D., and Calder, C.A. (2007). An Assessment of Coefficient Accuracy in Linear Regression Models with Spatially Varying Coefficients. Journal of Geographical Systems, 9, 145-166.
  11. Xiao, N., Calder, C.A., and Armstrong, M.C. (2007). Assessing the Effect of Uncertainty on Choropleth Map Classification. International Journal of Geographic Information Science, 21, 121-144.
  12. Calder, C.A. (2008). A Bayesian Dynamic Process Convolution Approach to Modeling the Joint Distribution of PM2.5 and PM10. Environmetrics, 19, 39-48, DOI: 10.1002/env.852.
  13. Calder, C.A., Craigmile, P.F., Mosley-Thompson, E. (2008). Spatial Variation in the Influence of the North Atlantic Oscillation on Precipitation Across Greenland. Journal of Geophysical Research – Atmospheres, 113, D06112, DOI:10.1029/2007JD009227.
  14. Calder, C.A., Holloman, C.H., Bortnick, S., Strauss, W. and Morara, M. (2008). Relating Ambient Particulate Matter Concentration Levels to Mortality Using an Exposure Simulator. Journal of the American Statistical Association, 103(481), 137-148.
  15. LaDeau, S.L., Marra, P.P., Kilpatrick, A.M., and Calder, C.A.. (2008). West Nile Virus Revisited: Consequences for North American Ecology. Bioscience, 58, 937-946.
  16. Munroe, D.K., Wolfinbarger, S.R., Calder, C.A., Shi, T., Xiao, N., Lam, C.Q.∗, and Li, D.∗ (2008). The Relationships Between Biomass Burning, Land-Cover/Use Change, and the Distribution of Carbonaceous Aerosols in Mainland Southeast Asia: A Review and Synthesis. Journal of Land Use Science, 3, 161-183.
  17. Santner, T.J., Craigmile, P.F., Calder, C.A., and Paul, R. (2008). Demographic and Behavioral Modifiers of Arsenic Exposure Pathways: A Bayesian Hierarchical Analysis of NHEXAS Data. Environmental Science & Technology, 42(15), 5607-5614.
  18. Xiao, N., Shi, T., Calder, C.A., Munroe, D.K., Berrett, C., Wolfinbarger, S., and Li, D. (2008). Spatial Characteristics of the Difference between MISR and MODIS Aerosol Optical Depth Retrievals over Mainland Southeast Asia. Remote Sensing of Environment, DOI:10.1016/j.rse.2008.07.011.
  19. Calder, C.A., Craigmile, P.F., and Zhang, J. (2009). Regional Spatial Modeling of Topsoil Geochemistry. Biometrics, 65, 206-215, DOI:10.1111/j.1541-0420.2008.01041.x.
  20. Calder, C.A. and Cressie, N. (2009). Kriging and Variogram Models. In the International Encyclopedia of Human Geography, Volume, 1, edited by R. Kitchin and N. Thrift, 49-55. Oxford: Elsevier.
  21. Craigmile, P.F., Calder, C.A., Li, H., Paul, R., and Cressie, N. (2009). Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways (with discussion). Bayesian Analysis, 4 (1), 1-36, DOI:10.1214/09-BA401.
  22. Cressie, N., Calder, C.A., Clark, J.S., Ver Hoef, J.M., and Wikle, C.K. (2009). Accounting for Uncer- tainty in Ecological Analysis: The Strengths and Limitations of Hierarchical Statistical Modeling (with discussion). Ecological Applications, 19(3), 553-570.
  23. Browning, C.R., Byron, R.A., Calder, C.A., Krivo, L.J., Kwan, M.-P., Lee, J.-Y., and Peterson, R.D. (2010). Commercial Density, Residential Concentration, and Crime: Land Use Patterns and Violence in Neighborhood Context. Journal of Research in Crime and Delinquency, 47, 329-357.
  24. Calder, C.A., Berrett, C., Shi, T., Xiao, N., and Munroe, D.K. (2011). Modeling Space-Time Dynam- ics of Aerosols Using Satellite Data and Atmospheric Transport Model Output. Journal of Agricultural, Biological, and Environmental Statistics, 16(4), 495-512.
  25. LaDeau, S.L., Calder, C.A., Doran, P., Marra, P. (2011). West Nile Virus Impacts in American Crow Populations are Associated with Human Land Use and Climate. Ecological Research, 26, 909-916.
  26. Li, H., Calder, C.A., and Cressie, N. (2011). One-Step Estimation of Spatial Dependence Parameters: Properties and Extensions of the APLE Statistic. Journal of Multivariate Analysis, 105, 68-84.
  27. Berrett, C. and Calder, C.A. (2012). Data Augmentation Strategies for the Bayesian Spatial Probit Regression Model. Computational Statistics & Data Analysis, 56, 478-490.
  28. Krivo, L.J., Washington, H.M., Peterson, R.D., Calder, C.A., and Kwan, M.-P. (2013). Social Isolation of Disadvantage and Advantage: The Reproduction of Inequality in Urban Space. Social Forces, Online, May 3, DOI: 10.1093/sf/sot043.
  29. Mangel Pflugeisen, B. and Calder, C.A. (2013). Bayesian Hierarchical Mixture Models for Otolith Microchemistry Analysis. Environmental and Ecological Statistics, 20(2), 179-190.
  30. Calder, C.A. (2013). Spatial Exposure Modeling: Reconsidering the Data Generating Mechanism (Invited Discussion). Environmetrics, 24(8), 525-526.
  31. Tatsumi, D., Calder, C.A., and Tomita, T. (2014). Bayesian Near-Field Tsunami Forecasting with Uncertainty Estimates. Journal of Geophysical Research: Oceans, DOI: 10.1002/2013JC009334.
  32. Risser, M.D. and Calder, C.A. (2015). Regression-Based Covariance Functions for Nonstationary Spatial Modeling. Environmetrics, 26(4), 284-297.
  33. Krivo, L.J., Byron, R.A., Calder, C.A., Peterson, R.D., Browning, C.R., Kwan, M.-P., Lee, J.Y.∗ (2015). Patterns of Local Segregation: Do They Matter for Neighborhood Crime?, Social Science Research, 54, 303-318.
  34. Berrett, C. and Calder, C.A. (2016). Bayesian Spatial Binary Classification. Spatial Statistics, 16, 72-102.
  35. Smith, A., Calder, C.A., Browning, C.R. (2016). Empirical Reference Distributions for Networks of Different Size. Social Networks, 47, 24-37.
  36. Wheeler, D. and Calder, C.A. (2016). Socio-Spatial Epidemiology: Residential History Analysis. Handbook of Spatial Epidemiology. Chapman & Hall/CRC. (Editor Reviewed)
  37. Browning, C.R., Calder, C.A., Ford, J.L., Boettner, B., Smith, A., and Haynie, D. (2017). Understanding Differences in Exposure to Violent Areas: Integrating Survey, Smartphone, and Administrative Data Resources. The Annals of the American Association of Political and Social Science, 669(1), 41-62.
  38. Browning, C.R., Calder, C.A., Krivo, L.J., Smith, A.L., and Boettner, B. (2017). Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods: Does Shared Residence Mean Shared Routines?  Russell Sage Foundation’s Journal of the Social Sciences, 3(2), 210-231.
  39. Browning, C.R. Calder, C.A., Sollar, B.∗, Jackson, A.L., and Dirlam, J.∗ (2017). Ecological Networks and Neighborhood Social Organization. American Journal of Sociology, 122(6), 1939-1988.
  40. Browning, C.R., Calder, C.A., Boettner, B., and Smith, A. (2017). Ecological Networks and Urban Crime: The Structure of Shared Routine Activity Locations and Neighborhood-Level Informal Control Capacity. Criminology, 55(4), 754-778.
  41. Risser, M.D. and Calder, C.A. (2017). Local Likelihood Estimation for Covariance Functions with Spatially-Varying Parameters: The convoSPAT Package for R. Journal of Statistical Software, 81(14), 1-32.
  42. Calder, C.A. and Berrett, C. (2018). Invited discussion of Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data. Bayesian Analysis, 13(1), 292-297. (Editor reviewed.)
  43. Schmeer, K.K., Tarrence, J.,Browning, C.R., Calder, C.A., Ford, J., and Boettner, B.  (2018+) Family Contexts and Adolescent Intra-Individual Variation in Sleep Time. Social Science in Medicine, Population Health, 7:004–4
  44. Boettner, B., Browning, C.R., and Calder, C.A. (2019).  Feasibility and Reliability of Geographically Explicit Momentary Assessment (GEMA) with Recall-Aided Space-Time Budgets. Journal of Research on Adolescence, 29(3), 627-645.
  45. Risser, M.D., Calder, C.A., Berrocal, V.J., and Berrett, C. (2019). Nonstationary Spatial Prediction of Soil Organic Carbon: Implications for Stock Assessment Decision Making.  Annals of Applied Statistics, 13(1), 165-188.
  46. Smith, A.L.Asta, D.M., and Calder, C.A. (2019)  The Geometry of Continuous Latent Space Models for Network Data.  Statistical Science, 34(3), 428-453.
  47. Joseph, A.-C.∗, Calder, C.A., and Wheeler, D.C (2020). The Timing of Geographic Power. Statistics in Medicine, 39(25), 3624-3636.
  48. Keymanesh M.∗, Gurukar S.∗, Boettner B., Browning C., Calder C.A., Parthasarathy S. (2020) Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. In Complex Networks XI (eds: Barbosa H., Gomez-Gardenes J., Gonc ̧alves B., Mangioni G., Menezes R., Oliveira M.) Springer Proceedings in Complexity.
  49. Xi, W.*, Calder, C.A., and Browning, C.R. Beyond Activity Space: Detecting Communities in Ecological Networks.  Accepted for publication in the Annals of the Association of American Geographers.  Available at
  50. Browning, C.R., Calder, C.A., Boettner, B., Tarrence, J.∗, Khan, K.∗, Sollar, B., and Ford, J.L. (2021) Neighborhoods, Activity Spaces, and the Span of Adolescent Exposures, American Sociological Review, 86(2), 201-233.
  51. Browning, C.R., Pinchak, N.∗, and Calder, C.A. (2021) Human Mobility and Crime: Theoretical Approaches and Novel Data Collection Strategies. Annual Review of Criminology, 4, 99-123.
  52. Browning, C.R., Tarrence, J.∗, LaPlant, E.∗, Boettner, B., Schmeer, K., Calder, C.A., Way, B., and Ford, J.L. (2021) Exposure to Police Killings and Physiological Stress Among Urban Black Male Youth. Psychoneuroendocrinology, 25, 104884.
  53. Pinchak, N.∗, Browning, C.R., Calder, C.A., and Boettner, B. (2021) Activity Locations, Residential Segregation, and the Significance of Residential Neighborhood Boundary Perceptions. Urban Studies, 58, 13, 2758–2781.  
  54. Khan, K.∗ and Calder, C.A. (2021+) Restricted Spatial Regression Methods: Implications for Inference.  Journal of the American Statistical Association, Theory & Methods. (available online) 


  1. Calder, C.A. (2004). Efficient Posterior Inference and Prediction of Space-Time Processes Using Dy- namic Process Convolutions. In the Joint Proceedings of the Sixth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences and the Fifteenth Annual Con- ference of TIES, The International Environmetrics Society. Portland, ME. June 28 – July 1, 2004.
  2. Calder, C.A. (2006). Bayesian Modeling of Exposure Pathways. International Society for Bayesian Analysis (ISBA) Bulletin, 13(1), 10-12.
  3. 3)  Wheeler, D. and Calder, C.A. (2006). Bayesian Spatially Varying Coefficient Models in the Presence of Collinearity. In the Proceedings of the Joint Statistical Meetings. Seattle, WA. August 6-10, 2006.
  4. Calder, C.A. and Cressie, N. (2007). Some Topics in Convolution-Based Spatial Modeling. In the Proceedings of the 56th Session of the International Statistics Institute. Lisbon, Portugal. August 22-29, 2007.
  5. Paul, R., Cressie, N., Buxton, B.E., Calder, C.A., Craigmile, P.F., Li, H., McMillan, N.J., Morara, M., Sanford, J., Santner, T.J., Zhang, J.∗ (2007). A Bayesian Hierarchical Model of Arsenic Exposure Based on NHEXAS Data: A Comparison of US EPA Region 5 and Arizona. In the Proceedings of the Joint Statistical Meetings. Salt Lake City, UT. July 29 – August 2, 2007.
  6. Munroe, D.K., Xiao, N., Calder, C.A., and Shi, T. (2008). Fire-Land-Atmosphere Modeling and Evaluation for Southeast Asia. In the Newsletter of the Global Land Project, 3, January, 2008.
  7. Kwan, M.-P., Peterson, R.D., Browning, C.R., Burrington, L., Calder, C.A., and Krivo, L.J. (2008). Reconceptualizing Sociogeographical Context for the Study of Drug Use, Abuse, and Addiction. In Geography and Drug Addiction, edited by Y. Thomas, D. Richardson, and I. Cheung, 445-454. Berlin: Springer-Verlag.
  8. Calder, C.A. (2009). Spatial Data Assimilation for Regional Environmental Exposure Studies. In the Proceedings of the 57th Session of the International Statistics Institute. Durban, South Africa. August 16-22, 2009.
  9. Rathouz, P.J. and Calder, C.A. (2020) A Framework for SARS-CoV-2 Testing on a Large University Campus: Statistical Considerations. Available at 07.23.20160788v1.
denotes a student co-author