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20112024
most citedQuantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests

151 citations · 692 across the 40 of their papers we have counts for

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19 papers · 1 filter

stat.ME2021

Generalised Boosted Forests

Indrayudh Ghosal, Giles Hooker

This paper extends recent work on boosting random forests to model non-Gaussian responses. Given an exponential family our goal is to obtain an est…

stat.ME2020

Generalized Single Index Models and Jensen Effects on Reproduction and Survival

Zi Ye, Giles Hooker, Stephen P. Ellner

Environmental variability often has substantial impacts on natural populations and communities through its effects on the performance of individuals. Because organisms' responses t…

stat.ME2020

Selecting the Derivative of a Functional Covariate in Scalar-on-Function Regression

Giles Hooker, Hanlin Shang

This paper presents tests to formally choose between regression models using different derivatives of a functional covariate in scalar-on-function regression. We demonstrate that f…

stat.ME2019★ 38 cited

Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance

Giles Hooker, Lucas Mentch, Siyu Zhou

This paper reviews and advocates against the use of permute-and-predict (PaP) methods for interpreting black box functions. Methods such as the variable importance measures propose…

stat.ME2019★ 2 cited

Tree Boosted Varying Coefficient Models

Yichen Zhou, Giles Hooker

This paper investigates the integration of gradient boosted decision trees and varying coefficient models. We introduce the tree boosted varying coefficient framework which justifi…

stat.ME2019

The Jensen Effect and Functional Single Index Models: Estimating the Ecological Implications of Nonlinear Reaction Norms

Zi Ye, Giles Hooker, Stephen Ellner

This paper develops tools to characterize how species are affected by environmental variability, based on a functional single index model relating a response such as growth rate or…