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Christopher J Paciorek

Showing results (1-10 of 43) with videos related to

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Bayesian Analysis|January 11, 2008
Misinformation in the conjugate prior for the linear model with implications for free-knot spline modellingChristopher J Paciorek
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
Environmental Health Perspectives|July 11, 2009
Limitations of remotely sensed aerosol as a spatial proxy for fine particulate matterChristopher J Paciorek, Yang Liu
Research Report (Health Effects Institute)|July 31, 2012
Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United StatesChristopher J Paciorek, Yang Liu,
Environmetrics|December 29, 2007
Spatial Modelling Using a New Class of Nonstationary Covariance FunctionsChristopher J Paciorek, Mark J Schervish
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
Environmetrics|April 26, 2014
Measurement error in two-stage analyses, with application to air pollution epidemiologyAdam A Szpiro, Christopher J Paciorek
Environmental Health Perspectives|July 11, 2009
Estimating regional spatial and temporal variability of PM(2.5) concentrations using satellite data, meteorology, and land use informationYang Liu, Christopher J Paciorek, Petros Koutrakis
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Bayesian Analysis|January 11, 2008
Misinformation in the conjugate prior for the linear model with implications for free-knot spline modellingChristopher J Paciorek
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
Environmental Health Perspectives|July 11, 2009
Limitations of remotely sensed aerosol as a spatial proxy for fine particulate matterChristopher J Paciorek, Yang Liu
Research Report (Health Effects Institute)|July 31, 2012
Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United StatesChristopher J Paciorek, Yang Liu,
Environmetrics|December 29, 2007
Spatial Modelling Using a New Class of Nonstationary Covariance FunctionsChristopher J Paciorek, Mark J Schervish
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
Environmetrics|April 26, 2014
Measurement error in two-stage analyses, with application to air pollution epidemiologyAdam A Szpiro, Christopher J Paciorek
Environmental Health Perspectives|July 11, 2009
Estimating regional spatial and temporal variability of PM(2.5) concentrations using satellite data, meteorology, and land use informationYang Liu, Christopher J Paciorek, Petros Koutrakis
Pageof 5