Molecular communication (MC) is a new communication engineering paradigm where
molecules are employed as information carriers. MC systems are expected to enable new …

The interior of a living cell is a crowded, heterogenuous, fluctuating environment. Hence, a
major challenge in modeling intracellular transport is to analyze stochastic processes within …

The first comprehensive graduate-level introduction to stochastic thermodynamics
Stochastic thermodynamics is a well-defined subfield of statistical physics that aims to …

For epidemiologists, evolutionary biologists, and health-care professionals, real-time and
predictive modeling of infectious disease is of growing importance. This book provides a …

The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data Page 1 The
Annals of Statistics 2019, Vol. 47, No. 3, 1288–1320 https://doi.org/10.1214/18-AOS1715 © …

Motivation: Simulation and modeling is becoming a standard approach to understand
complex biochemical processes. Therefore, there is a big need for software tools that allow …

Stochastic chemical kinetics describes the time evolution of a well-stirred chemically
reacting system in a way that takes into account the fact that molecules come in whole …

One of the major challenges in modern biology is to understand how the molecular
components of a living cell operate in a highly noisy environment. What are the specific …

In order to understand the functioning of organisms on the molecular level, we need to know
which genes are expressed, when and where in the organism, and to which extent. The …

The stochastic simulation algorithm SSA is an essentially exact procedure for numerically
simulating the time evolution of a well-stirred chemically reacting system. Despite recent …