references
Links to this note
- statistical physics
- philosophy
- maxima
- linear models
- a containerized jupyter notebook with multiple kernels on Arch Linux
- Data analysis using regression and multilevel hierarchical models by Andrew Gelman and Jennifer Hill in 2006
- pathology references
- conformal field theory
- Dynamic causal modelling of COVID-19 by Karl Friston, Thomas Parr, Jean Daunizeau, Rosalyn Moran, et al in 2020
- A Visual Introduction to Differential Forms and Calculus on Manifolds by Fortney in 2018
- stochastic processes
- Probabilistic Modeling and Statistical Inference by Michael Betancourt in 2019
- Martin Biehl
- flow cytometry
- Applications of probabilistic inference to the interpretation of simple experiments
- free energy principle
- The free energy principle for action and perception A mathematical review by Christopher Buckley, Anil Seth, et al in 2017
- probabilistic inference
- Active inference on discrete state-spaces - a synthesis by Lancelot Da Costa, Thomas Parr, Karl Friston et al in 2020
- renormalization
- representation theory
- random dynamical systems
- prediction error minimization
- predictive coding model
- mathematical models of evolution
- mathematics
- invariant measures of random dynamical systems as analogs to attractors in deterministic dynamical systems
- high energy physics
- gauge gravitation theory
- empowerment maximization
- dynamics of biological systems
- cancer evolution
- branching processes
- baryogenesis
- asexual evolution
- analytic vs continental philosophy
- Whitehead's conceptual vocabulary for process philosophy
- What It Is Like to Perceive Direct Realism and the Phenomenal Character of Perception by J Christopher Maloney in 2018
- Simulation of High-Energy Reactions of PArticles
- Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari in 2020
- Planning as Inference in Epidemiological Dynamics Models by Andrew Warrington, Saeid Naderiparizi, and Frank Wood in 2020
- Pattern recognition and machine learning by Chris Bishop in 2006
- Optimal transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming by Geoffrey Schiebinger, Aviv Regev, Eric Lander, et al in 2019
- Mechanistic Inference of Brain Network Dynamics with Approximate Bayesian Computation by Timothy West, Vladimir Litvak, et al in 2019
- Jurgen Jost
- Joachim Krug
- George Box
- Gaussian process
- Embodying probabilistic inference in biochemical circuits by Yarden Katz, Michael Springer, and Walter Fontana in 2018
- Consciousness and intentionality in the Stanford Encyclopedia of Philosophy
- Build, Compute, Critique, Repeat Data Analysis with latent variable models by David Blei in 2014
- Becoming as inference