Stochastic modeling and inference in nano-scale biophysics
主 题: Stochastic modeling and inference in nano-scale biophysics
报告人: Professor Samuel Kou (Harvard University,)
时 间: 2006-07-12 下午 4:00 - 5:00
地 点: 理科一号楼 1418
Recent advances in nanotechnology allow scientists to follow a biological process on a single molecule basis. These advances also raise many challenging stochastic modeling and statistical inference problems. First, by zooming in on single molecules, recent nano-scale experiments reveal that some classical stochastic models derived from oversimplified assumptions are no longer valid. Second, the stochastic nature of the experimental data and the presence of latent processes much complicate the statistical inference. In this talk we will use the modeling of subdiffusion phenomenon in enzymatic conformational fluctuation and the inference of DNA hairpin kinetics to illustrate the statistical and probabilistic challenges in single-molecule biophysics.