Event Date Details:
Refreshments at 3:15 pm
- Sobel Seminar Room; South Hall 5607F
- Department Seminar
A Random Intercept Model using Constrained Regression Splines with Application to Tree Height Estimation
Xiyue Liao (UCSB)
We propose a random intercept model, in which the fixed effect is estimated by regression splines with shape constraints. The random-intercept component is estimated by the best linear unbiased predictor (BLUP). An optimal convergence rate is established for the fixed-effect component. Inference methods are discussed for both components. Simulation results about the proposed methods and a tree-height data example are included.