Chada, Neil K.; Franks, Jordan; Jasra, Ajay; Law, Kody J.; Vihola, Matti(Society for Industrial & Applied Mathematics (SIAM), 2021)
We develop a Bayesian inference method for diffusions observed discretely and with noise, which is free of discretization bias. Unlike existing unbiased inference methods, our method does not rely on exact simulation ...
The transport of molecules inside cells is a complex process, the
characterization of which is important to gain full understanding of cellular
processes. Understanding of intracellular transport is also important for ...
The number of fluorescence applications and methods of analysis is growing in the biological and related sciences. The aim of this work was to accurately determine the diffusion coefficient in nucleus, diffusion in the ...
This work is aimed at the derivation of reliable and efficient a posteriori error estimates for convection-dominated diffusion problems motivated by a linear Fokker–Planck problem appearing in computational neuroscience. ...
The time domain-random walk method was developed further for simulating mass transfer in fracture flows together with matrix diffusion in surrounding porous media. Specifically, a time domain-random walk scheme was developed ...
