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Journal of the American Statistical Association|September 18, 2009
Mapping Ancient Forests: Bayesian Inference for Spatio-temporal Trends in Forest Composition Using the Fossil Pollen Proxy RecordChristopher J Paciorek, Jason S McLachlan
Ecology|August 6, 2019
Quantifying trends and uncertainty in prehistoric forest composition in the upper Midwestern United StatesAndria Dawson, Christopher J Paciorek, Simon J Goring, et al.
Computational Statistics & Data Analysis|April 30, 2008
Computational Techniques for Spatial Logistic Regression with Large DatasetsChristopher J Paciorek
Journal of Statistical Software|December 29, 2007
Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP PackageChristopher J Paciorek
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|April 30, 2011
The importance of scale for spatial-confounding bias and precision of spatial regression estimatorsChristopher J Paciorek
Plos One|February 27, 2016
Statistically-Estimated Tree Composition for the Northeastern United States at Euro-American SettlementChristopher J Paciorek, Simon J Goring, Andrew L Thurman, et al.
Plos One|January 21, 2017
Correction: Statistically-Estimated Tree Composition for the Northeastern United States at Euro-American SettlementChristopher J Paciorek, Simon J Goring, Andrew L Thurman, et al.
Environmental Health Perspectives|July 11, 2009
Limitations of remotely sensed aerosol as a spatial proxy for fine particulate matterChristopher J Paciorek, Yang Liu
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