10 citations · 10 across the 2 of their papers we have counts for
2 papers
stat.ME2023
Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimation
Myeongjong Kang
We propose a novel nonparametric regression framework subject to the positive definiteness constraint. It offers a highly modular approach for estimating covariance functions of st…
stat.CO2021★ 10 cited
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference
Myeongjong Kang, Matthias Katzfuss
Gaussian processes are widely used as priors for unknown functions in statistics and machine learning. To achieve computationally feasible inference for large datasets, a popular a…