Zobrazeno 1 - 10
of 392
pro vyhledávání: '"Hang, J. A."'
Autor:
Deng, Qiaolan, Nam, Jin Hyun, Yilmaz, Ayse Selen, Chang, Won, Pietrzak, Maciej, Li, Lang, Kim, Hang J., Chung, Dongjun
Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to fully understand functional mechanisms underlying many associated var
Externí odkaz:
http://arxiv.org/abs/2204.06714
Sepsis is a life-threatening medical emergency, which is a major cause of death worldwide and the second highest cause of mortality in the United States. Researching the optimal control treatment or intervention strategy on the comprehensive sepsis s
Externí odkaz:
http://arxiv.org/abs/2201.02702
Bayesian Optimization algorithm has become a promising approach for nonlinear global optimization problems and many machine learning applications. Over the past few years, improvements and enhancements have been brought forward and they have shown so
Externí odkaz:
http://arxiv.org/abs/2201.00147
Understanding the oscillating behaviors that govern organisms' internal biological processes requires interdisciplinary efforts combining both biological and computer experiments, as the latter can complement the former by simulating perturbed condit
Externí odkaz:
http://arxiv.org/abs/2110.10604
At present, high-dimensional global optimization problems with time-series models have received much attention from engineering fields. Since it was proposed, Bayesian optimization has quickly become a popular and promising approach for solving globa
Externí odkaz:
http://arxiv.org/abs/2108.02289
This paper presents an Improved Bayesian Optimization (IBO) algorithm to solve complex high-dimensional epidemic models' optimal control solution. Evaluating the total objective function value for disease control models with hundreds of thousands of
Externí odkaz:
http://arxiv.org/abs/2108.00062
We consider regression analysis in the context of data integration. To combine partial information from external sources, we employ the idea of model calibration which introduces a "working" reduced model based on the observed covariates. The working
Externí odkaz:
http://arxiv.org/abs/2107.06448
Autor:
Khatiwada, Aastha, Wolf, Bethany J., Yilmaz, Ayse Selen, Ramos, Paula S., Pietrzak, Maciej, Lawson, Andrew, Hunt, Kelly J., Kim, Hang J., Chung, Dongjun
Motivation: In spite of great success of genome-wide association studies (GWAS), multiple challenges still remain. First, complex traits are often associated with many single nucleotide polymorphisms (SNPs), each with small or moderate effect sizes.
Externí odkaz:
http://arxiv.org/abs/2106.06877
Recent research in differential privacy demonstrated that (sub)sampling can amplify the level of protection. For example, for $\epsilon$-differential privacy and simple random sampling with sampling rate $r$, the actual privacy guarantee is approxima
Externí odkaz:
http://arxiv.org/abs/2103.09705
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