- PhD Statistics (May 2003) University of North Carolina, Chapel Hill
- MS Statistics (May 2002) University of North Carolina, Chapel Hill
- BS Applied Mathematics (July 1997) University of Bucharest
ResearchFor a complete list of publications please refer to my CV
Most of my research interests a related to answering important questions related to the environment. More specifically, I am interested in the analysis of massive spatial data sets; analysis of areal data, exploratory methods for identification of spatial structure, general spatio-temporal methodology; the use of hierarchical models to forecast wind speed, direction, wind farm power output; functional data analysis for large spatial and temporal data sets; dynamical systems for sptio-temporal data.
I actively collaborate with researchers from many departments at ISU, inlcuding Agronomy, Seed Science, Meteorology, Natural Resource Ecology and Management Ecology, Plant Pathology, Forestry, Geology and Atmospheric Sciences, Agricultural and Biosystems Engineering, Economics, Political Sciences, Civil Engineering, as well as from the grocery store chain HyVee, Iowa Soybean Association, MidAmerican Energy, Los Alamos and Pacific Norhtwestern National Labs.
- D. Osthus, K. Hickmann, P. Caragea, D. Higdon, S. Del Valle.
Forecasting seasonal influenza with a state-space SIR model Annals of Applied Statistics 11(1): 202-224, 2017.
- Sherwood, J.A., Debinski, D.M., Caragea, P.C., Germino, M.
Effects of Experimentally Reduced Snowpack and Passive Warming on Montane Meadow Plant Phenology and Floral Resources Ecosphere, 8(3), 2017.
- Fuentes-Ramirez, A., Mudrak, E., Caragea, P.C., Holzapfel, C., Moloney, K.
A Modeling Approach to Understand the Impact of Wildfires on the Spatial Pattern of Creosote Bush in the Sonoran and Mojave deserts. Oecologia, 1-12, 2015.
- Caragea, P.C., Berg, E.J.
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): 453-471, 2014 [Details]
- D. Osthus, P. C. Caragea, D. Higdon, S. K. Morley, G. D. Reeves,
B. P. Weaver.
Towards Better Empirical Forecasting of Radiation Belt Electrons and Limitations on Physical Interpretation of Predictive Models
Space Weather 12 (6): 426-446, 2014
- Bramer, L., Hornbuckle, B., Caragea, P.C.
How Many Measurements of Soil Moisture within the Footprint of a Ground-based Microwave Radiometer are Required to Account for Meter-scale Spatial Variability?
Vadose Zone Journal, 12(3), 2013
- Kaiser, M.S., Caragea, P.C., Furukawa, K.
Centered Parameterizations and Dependence Limitations in Markov Random Field Models
Journal of Statistical Planning and Inference, 142(7): 1855-1863, 2012 [Details]
- Khanal, S., Anex, R., Gelder, B., Dixon, P., Caragea, P.C.
Cropping Pattern Choice with Proximity to Ethanol Production and Animal Feeding Operations
Biofuels, Bioproducts and Biorefining Journal, 6(4): 431-443, 2012 [Details]
- Kyveryga, P., Blackmer, T.M., Caragea, P.C.
Analysis of Spatial Variability in Economic Yield Response of Corn to
Agronomy Journal, 103(3), 2011 [Details]
- Hughes, J.P., Haran, M., Caragea, P.C.
Markov random field models for binary data on a lattice
Environmetrics, 7: 857-871, 2011 [Details]
- Maggie Johnson (PhD expected Summer 2017, Methods for the Analysis of Complex Data Structures with Temporal and Spatial Dependence)
- Yeon-jung Seo (PhD expected Fall 2017, Bivariate Gaussian Markov
Random Field Model Assessment Using a Spatial Blockwise Empirical
- Manju Johny (MS expected Spring 2017, A Functional Anova Approach
to Detecting Changes in Soil Moisture and Temperature)
- Colin Lewis-Beck (PhD expected Spring 2018, Online Forecasting of
Crop Phenology using Remotely Sensed Data)
- Justin Sabrowski (MS expected Summer 2017, Characterizing
Large-Scale Climate Variability with Arctica islandica shell growth data)
- Dan Fortin (PhD 2015, currently at PNNL. Contributions to Modeling Spatially Indexed Functional Data using a Reproducing Kernel Hilbert Space Framework)
David Osthus (PhD 2015, currently at LANL. Applications of and Extenstions to
- Lisa Bramer (PhD 2013, currently at PNNL. Methods for Modeling and Forecasting Wind Characteristics)
- Maggie Johnson (MS 2013, Statistical Models for Global Phenological Phenomena)
- Jeremy Hadler (MS 2013, Spatio-Temporal Models for Eyetracking Data)
- Rachel Fahrenholtz (MS 2012, Investigating Soil Moisture and Temperature in Montane Meadow Systems)
- Lisa Bramer (MS 2010, Spatial Dependence and Prediction of the Mean Soil Moisture Value for Remote Sensing Validation)
- Li Zhang (MS 2009, Properties of the S-value as a Statistic Measuring Spatial Dependence)
- Xing Fan (MS 2006, A Statistical Comparison of the Freezing Process in Two Genotypes of Corn Kernels)
- Okan Elci (MS 2004, Modeling the Maize Pollen Dispersion Process)
- STAT 226 Introduction to Business Statistics I (Undergraduate service level)
- STAT 326 Introduction to Business Statistics II (Undergraduate service level)
- STAT 401 Statistical Methods for Research Workers (Graduate service level, on campus and distance)
- STAT 406: Statistical Methods for Spatial Data (Graduate service level)
- STAT 506: Statistical Methods for Spatial Data (Graduate level)
- STAT 520: Statistical Methods III (Graduate level, MS and PhD core curriculum)
- STAT 551: Time Series Analysis (Graduate level)