notes
(
index
)
Stan
software library
,
probabilistic inference
tutorials
https://github.com/stan-dev/example-models/tree/master/knitr
https://mc-stan.org/users/documentation/case-studies.html
Predator-Prey Population Dynamics: the Lotka-Volterra model in Stan Bob Carpenter 28 January 2018
Links to this note
philosophy
open documents
Bayesian data analysis by Andrew Gelman, Aki Vehtari, et al in 2014
Applied Probabilistic Modeling Principled Bayesian Inference for the Discerning Practitioner by Michael Betancourt in 2020
approximate bayesian computation
A thorough introduction to the theory of general relativity by Frederic Schuller in 2015
Probabilistic Modeling and Statistical Inference by Michael Betancourt in 2019
Applications of probabilistic inference to the interpretation of simple experiments
physics
genotype-tissue expression GTEx
What It Is Like to Perceive Direct Realism and the Phenomenal Character of Perception by J Christopher Maloney in 2018
The Structure and Interpretation of the Standard Model by Gordon McCabe in 2007
Simulation of High-Energy Reactions of PArticles
Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari in 2020
Pattern recognition and machine learning by Chris Bishop in 2006
Large deviations and dynamical phase transitions in stochastic chemical networks by Lazarescu and Esposito in 2019
Gauge Theories in Particle Physics A Practical Introduction, Volume 2 Non-Abelian Gauge Theories QCD and The Electroweak Theory by Aitchison and Hey in 2013
Gauge Theories in Particle Physics A Practical Introduction, Volume 1 From Relativistic Quantum Mechanics to QED by Aitchison and Hey in 2013
Frank Wood
Catalogue of Spacetimes by Mueller and Grave in 2009
Alfred North Whitehead