Comparison of Markov chain Monte Carlo and generalized least square methods on a model of glucose / insulin dynamics with GLP1-DPP4 interaction

• المؤلفون الرئيسيون: Sutharot Lueabunchong, Yongwimon Lenbury, Simona Panunzi, Alice Matone
• مؤلفون آخرون: Mahidol University
• التنسيق: مقال
• منشور في: 2018
• الموضوعات: Computer Science; Mathematics
• الوصول للمادة أونلاين: https://repository.li.mahidol.ac.th/handle/123456789/14024

In this paper, the performances of Markov Chain Monte Carlo (MCMC) method and Generalized Least Square (GLS) method are compared when they are used to estimate the parameters in a nonlinear differential model of glucose/insulin metabolism with GLP1-DPP4 interaction. The model is used to generate the...