A review of uncertainty quantification for density estimation
S McDonald, D Campbell - 2021 - projecteuclid.org
A review of uncertainty quantification for density estimation Page 1 Statistics Surveys Vol. 15
(2021) 1–71 ISSN: 1935-7516 https://doi.org/10.1214/21-SS130 A review of uncertainty …
(2021) 1–71 ISSN: 1935-7516 https://doi.org/10.1214/21-SS130 A review of uncertainty …
Polya tree-based nearest neighborhood regression
H Zhuang, L Diao, G Yi - Statistics and Computing, 2022 - Springer
Parametric regression, such as linear regression, plays an important role in statistics. The
use of parametric regression models typically involves the specification of a regression …
use of parametric regression models typically involves the specification of a regression …
Novel approaches to uncertainty quantification in nonparametric settings
S McDonald - 2022 - summit.sfu.ca
This thesis contains explorations of uncertainty quantification in a variety of nonparametric
statistical settings, focusing on novel uses of uncertainty to enhance inference in ways which …
statistical settings, focusing on novel uses of uncertainty to enhance inference in ways which …
Correlated Data Analysis with Copula Models or Bayesian Nonparametric Methods
H Zhuang - 2021 - uwspace.uwaterloo.ca
Different types of correlated data arise commonly in many studies and present considerable
challenges in modeling and characterizing complex dependence structures. This thesis …
challenges in modeling and characterizing complex dependence structures. This thesis …