Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Ko, Seyoon"'
Hawkes stochastic point process models have emerged as valuable statistical tools for analyzing viral contagion. The spatiotemporal Hawkes process characterizes the speeds at which viruses spread within human populations. Unfortunately, likelihood-ba
Externí odkaz:
http://arxiv.org/abs/2407.11349
The demand for high-performance computing (HPC) is ever-increasing for everyday statistical computing purposes. The downside is that we need to write specialized code for each HPC environment. CPU-level parallelization needs to be explicitly coded fo
Externí odkaz:
http://arxiv.org/abs/2010.16114
Technological advances in the past decade, hardware and software alike, have made access to high-performance computing (HPC) easier than ever. We review these advances from a statistical computing perspective. Cloud computing makes access to supercom
Externí odkaz:
http://arxiv.org/abs/2001.01916
Autor:
Zhou, Hua, Sinsheimer, Janet S., German, Christopher A., Ji, Sarah S., Bates, Douglas M., Chu, Benjamin B., Keys, Kevin L., Kim, Juhyun, Ko, Seyoon, Mosher, Gordon D., Papp, Jeanette C., Sobel, Eric M., Zhai, Jing, Zhou, Jin J., Lange, Kenneth
Publikováno v:
Human Genetics, pp 1-11, 2019 Mar 26
Statistical methods for genomewide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory in future software. In our view
Externí odkaz:
http://arxiv.org/abs/1902.05189
Many imaging problems, such as total variation reconstruction of X-ray computed tomography (CT) and positron-emission tomography (PET), are solved via a convex optimization problem with near-circulant, but not actually circulant, linear systems. The
Externí odkaz:
http://arxiv.org/abs/1810.13100
Publikováno v:
Journal of Computational and Graphical Statistics 28.4 (2019): pp.821-833
Many statistical learning problems can be posed as minimization of a sum of two convex functions, one typically a composition of non-smooth and linear functions. Examples include regression under structured sparsity assumptions. Popular algorithms fo
Externí odkaz:
http://arxiv.org/abs/1702.06234
Autor:
Racah, Evan, Ko, Seyoon, Sadowski, Peter, Bhimji, Wahid, Tull, Craig, Oh, Sang-Yun, Baldi, Pierre, Prabhat
Experiments in particle physics produce enormous quantities of data that must be analyzed and interpreted by teams of physicists. This analysis is often exploratory, where scientists are unable to enumerate the possible types of signal prior to perfo
Externí odkaz:
http://arxiv.org/abs/1601.07621
Autor:
Ko, Seyoon1 (AUTHOR), Li, Ginny X2 (AUTHOR), Choi, Hyungwon2 (AUTHOR) hyung_won_choi@nus.edu.sg, Won, Joong-Ho1 (AUTHOR) hyung_won_choi@nus.edu.sg
Publikováno v:
Briefings in Bioinformatics. Nov2021, Vol. 22 Issue 6, p1-17. 17p.
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