While noise is generally associated with uncertainties and often has a negative connotation
in engineering, living organisms have evolved to adapt to (and even exploit) such …

Central to analyzing noisy gene expression systems is solving the Chemical Master
Equation (CME), which characterizes the probability evolution of the reacting species' copy …

In the past few decades, the development of fluorescent technologies and microscopic
techniques has greatly improved scientists' ability to observe real-time single-cell activities …

Time-lapse microscopy has become increasingly prevalent in biological experimentation, as
it provides single-cell trajectories that unveil valuable insights into underlying networks and …

Stochastic filtering is a vibrant area of research in both control theory and statistics, with
broad applications in many scientific fields. Despite its extensive historical development …

Solving the chemical master equation (CME) that characterizes the probability evolution of
stochastically reacting processes is greatly important for analyzing intracellular reaction …

Stochastic reaction network models arise in intracellular chemical reactions, epidemiological
models and other population process models, and are a class of continuous time Markov …

A Bibliography of Publications in SIAM Journal on Numerical Analysis: 2010–2019 Page 1
A Bibliography of Publications in SIAM Journal on Numerical Analysis: 2010–2019 Nelson …