1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Estimation of treatment effect in clinical trials of continuous endpoints with retrieved dropouts
Myeongjong Kang, Sangyoon Yi
The estimand framework provides guidance on handling intercurrent events, such as treatment discontinuation, in the analysis of clinical trial responses. Under ICH E9(R1), the trea…
math.ST2024★ 1 cited
Asymptotic properties of Vecchia approximation for Gaussian processes
Myeongjong Kang, Florian Schäfer, Joseph Guinness +1
Vecchia approximation has been widely used to accurately scale Gaussian-process (GP) inference to large datasets, by expressing the joint density as a product of conditional densit…
stat.ML2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization
Jian Cao, Myeongjong Kang, Felix Jimenez +3
To achieve scalable and accurate inference for latent Gaussian processes, we propose a variational approximation based on a family of Gaussian distributions whose covariance matric…