| Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference M Kang, M Katzfuss Statistics and Computing 33 (3), 56, 2023 | 21 | 2023 |
| Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization J Cao*, M Kang*, F Jimenez, H Sang, FT Schaefer, M Katzfuss International Conference on Machine Learning, 3559-3576, 2023 | 6 | 2023 |
| Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data A Adak, M Kang, SL Anderson, SC Murray, D Jarquin, RKW Wong, ... Journal of Experimental Botany 74 (17), 5307-5326, 2023 | 3 | 2023 |
| Research on developing a similarity measure among break-in burglary crimes and its applications M Kang, IG Kang, MJ Kim, SH Cho, KE Lee, MH Lee The Korean Association of Police Science Review (한국경찰학회보) 20 (6), 57-82, 2018 | 1* | 2018 |
| Asymptotic properties of Vecchia approximation for Gaussian processes M Kang, F Schäfer, J Guinness, M Katzfuss arXiv preprint arXiv:2401.15813, 2024 | | 2024 |
| Sparse inverse Cholesky factorization for scalable Gaussian-process inference M Kang Texas A&M University, 2023 | | 2023 |
| Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimation M Kang Genetic and Evolutionary Computation Conference, 493-501, 2023 | | 2023 |
Matthias KatzfussProfessor of Statistics, University of Wisconsin–MadisonVerified email at wisc.edu
Matthias KatzfussProfessor of Statistics, University of Wisconsin–MadisonVerified email at wisc.edu