2 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.CO2021★ 2 cited
Gaussian Process for Functional Data Analysis: The GPFDA Package for R
Evandro Konzen, Yafeng Cheng, Jian Qing Shi
We present and describe the GPFDA package for R. The package provides flexible functionalities for dealing with Gaussian process regression (GPR) models for functional data. Multiv…
stat.AP2020
Modelling non-stationary extremes of storm severity: a tale of two approaches
Evandro Konzen, Claudia Neves, Philip Jonathan
Models for extreme values accommodating non-stationarity have been amply studied and evaluated from a parametric perspective. Whilst these models are flexible, in the sense that ma…
stat.ME2019★ 1 cited
Modeling Function-Valued Processes with Nonseparable and/or Nonstationary Covariance Structure
Evandro Konzen, Jian Qing Shi, Zhanfeng Wang
We discuss a general Bayesian framework on modeling multidimensional function-valued processes by using a Gaussian process or a heavy-tailed process as a prior, enabling us to hand…