notes
(
index
)
simulation
stochastic processes
BioSimulator.jl
in
julia
Links to this note
open documents
Data analysis using regression and multilevel hierarchical models by Andrew Gelman and Jennifer Hill in 2006
approximate bayesian computation
Probabilistic Modeling and Statistical Inference by Michael Betancourt in 2019
Bayesian probabilistic inference for stochastic processes
applications of stochastic processes
The speed of evolution in large asexual populations by Krug et al in 2010
Statistical inference for stochastic simulation models theory and application by Florian Hartig, Andreas Huth, et al in 2011
Simulation of High-Energy Reactions of PArticles
Self-organization in nonequilibrium systems from dissipative structures to order through fluctuations by Nicolis and Prigogine in 1977
Renormalization methods a guide for beginners by McComb in 2004
Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari in 2020
Quantum field theory for economics and finance by Belal Baaquie in 2018
Multiscale Structure in Eco-Evolutionary Dynamics by Blake Stacey in 2015
Model reduction methods for classical stochastic systems with fast-switching environments reduced master equations, stochastic differential equations, and applications by Hufton, Lin, and Galla in 2018