Petruța C Caragea

Petruța C Caragea

  • Professor
  • Associate Chair


  • PhD, University of North Carolina, Chapel Hill, NC, 2003
  • MS, University of North Carolina, Chapel Hill, NC, 2002
  • BS, University of Bucharest, Bucharest, Romania, 1997

Selected Publications:

  • Johnson, M., Caragea P.C., Meiring, W., Jeganathan, C., Atkinson, P.M. , 2019. Bayesian Dynamic Linear Models for Estimation of Phenological Events from Remote Sensing Data. Journal of Agricultural, Biological and Environmental Statistics. 24(1).
  • Osthus, D.†, Hickmann, K., Caragea P.C, Higdon, D., DelValle, S., 2017. Forecasting Seasonal Influenza with a State-Space SIR model. Annals of Applied Statistics, 11(1).
  • Sherwood, J.A., Debinski, D.M., Caragea, P.C., Germino, M., 2017. Effects of Experimentally Reduced Snowpack and Passive Warming on Montane Meadow Plant Phenology and Floral Resources. Ecosphere, 8(3).
  • Caragea, P.C., Berg, E.J., 2014. A Centered Bivariate Spatial Regression Model for Binary Data with an Application to Presettlement Vegetation Data in the Midwestern United States. Journal of Agricultural, Biological and Environmental Statistics, 19(4).
  • Osthus, D., Caragea, P.C., Higdon, D., Morley, S.K., Reeves, G.D., and Weaver, B.P., 2014. Dynamic Linear Models for Forecasting of Radiation Belt Electrons and Limitations on Physical Interpretation of Predictive Models, Space Weather, 12.
  • Kaiser, M.S., Caragea, P.C., Furukawa, K., 2012. Centered Parameterizations and Dependence Limitations in Markov Random Field Models. Journal of Statistical Planning and Inference, 142(7).
  • Hughes, J.P., Haran, M. and Caragea, P.C., 2011. Markov Random Field Models for Binary Data on a Lattice. Environmetrics, 7.
  • Kaiser, M.S., Caragea, P.C., 2009. Exploring Dependence with Data on Spatial Lattices. Biometrics, 65(3).
  • Caragea, P.C., Kaiser, M.S., 2009. Autologistic Models with Interpretable Parameters. Journal of Agricultural, Biological and Environmental Statistics, 14(3).
  • Nordman, D.J., Caragea, P.C., 2008. Point and Interval Estimation of Variogram Models using Spatial Empirical Likelihood. Journal of the American Statistical Association, 103.
  • Caragea, P.C., Smith, R.L., 2007. Asymptotic Properties of Computationally Efficient Alternative Estimators for a Class of Multivariate Normal Models. Journal of Multivariate Analysis, 98(7).