notes
(
index
)
stochastic processes
references
Approximation and solution methods for master equations
Non-equilibrium statistical physics
applications of stochastic processes
branching processes
Markov processes
random dynamical systems
Links to this note
statistical physics
open documents
interacting particle systems
The information geometry of 2-field functional integrals by Eric Smith in 2019
Bayesian probabilistic inference for stochastic processes
simulation
model construction
marginal observations
invariant measures of random dynamical systems as analogs to attractors in deterministic dynamical systems
evolution in fluctuating environments
cancer evolution
applications of stochastic processes
What Is a Macrostate? Subjective Observations and Objective Dynamics by Cosma Shalizi and Chris Moore in 2003
Statistical physics approaches to subnetwork dynamics in biochemical systems by Bravi and Sollich in 2017
Statistical Physics of Complex Systems by Eric Bertin in 2016
Population biology and criticality by Nico Stollenwerk and Vincent Johnson in 2010
Optimal transport for Applied Mathematicians Calculus of Variations, PDEs, and Modeling by Filippo Santambrogio in 2015
Multiscale Structure in Eco-Evolutionary Dynamics by Blake Stacey in 2015
Master equations and the theory of stochastic path integrals by Markus Weber and Erwin Frey in 2017
Large deviations and dynamical phase transitions in stochastic chemical networks by Lazarescu and Esposito in 2019
Information geometry by Nihat Ay, Jurgen Jost, et al in 2017
Intrinsic and extrinsic thermodynamics for stochastic population processes with multi-level large-deviation structure by Eric Smith in 2020
Inferring gene regulatory networks from single-cell data a mechanistic approach by Ulysse Herbach, Olivier Gandrillon, et al in 2017
Information Geometry and Population Genetics by Julian Hofrichter, Jurgen Jost, and Tat Dat Tran in 2017
Cosma Shalizi
Becoming as inference
A Simulated Annealing Approach to Bayesian Inference by Carlo Albert in 2018