lgpr: An interpretable nonparametric method for inferring covariate
effects from longitudinal data

v1v2 (latest)

lgpr: An interpretable nonparametric method for inferring covariate effects from longitudinal data

7 December 2019

Henrik Mannerstrom

Harri Lähdesmäki

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Papers citing "lgpr: An interpretable nonparametric method for inferring covariate effects from longitudinal data"

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Title
Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs Adam Gorm Hoffmann C. T. Ekstrøm Andreas Kryger Jensen 41 0 0 19 Jun 2024
Improving Neural Additive Models with Bayesian Principles Kouroche Bouchiat Alexander Immer Hugo Yèche Gunnar Rätsch Vincent Fortuin BDL MedIm 105 6 0 26 May 2023
Additive Gaussian Processes Revisited Xiaoyu Lu A. Boukouvalas J. Hensman 54 23 0 20 Jun 2022
Hierarchical Gaussian Processes with Wasserstein-2 Kernels S. Popescu D. Sharp James H. Cole Ben Glocker 74 5 0 28 Oct 2020