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Statistics Seminar - Erin Schliep (University of Missouri)

Event Type
Seminar/Symposium
Sponsor
Department of Statistics
Location
https://illinois.zoom.us/j/81579704788?pwd=ZHRwUU9rOHRHVklQOFB1cnRrMnQ5QT09
Virtual
wifi event
Date
Oct 21, 2021   3:30 pm  
Views
61
Originating Calendar
Department of Statistics Event Calendar

Title: The impacts of sampling design on model inference and spatial prediction

Abstract: Informative sampling designs are broadly used across many application areas of statistical modeling, and can have a large impact on model inference and prediction. In spatial modeling, informative sampling can result in biased spatial covariance parameter estimation, which in turn can bias spatial kriging estimates. Even with unbiased estimates of the spatial covariance parameters, since the kriging variance is a function of the observation locations, these estimates will vary based on the sample and overestimate the population-based estimates. To address these biases, we develop a weighted composite likelihood approach to improve spatial covariance parameter estimation under informative sampling designs. Then, given these parameter estimates, we propose three approaches to quantify the effects of the sampling design on the variance estimates in spatial prediction in order to make informed decisions for population-based inference. We apply our methods to perform spatial prediction of nitrate concentration in wells located throughout central California.

Join Zoom Meeting
https://illinois.zoom.us/j/81579704788?pwd=ZHRwUU9rOHRHVklQOFB1cnRrMnQ5QT09

Meeting ID: 815 7970 4788
Password: 646606

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