https://nd.psychstat.org/ 2026-04-06T11:36:57+00:00 https://nd.psychstat.org/ https://nd.psychstat.org/_media/wiki/dokuwiki.svg text/html 2016-01-24T14:48:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://nd.psychstat.org/lab/projects/01bayesian_differential_equations/index Bayesian differential equation Manuscripts * Version 1. References * Tutorial introduction to Gaussian process * Gaussian Processes for Regression: A Quick Introduction * Tutorial: Gaussian process models for machine learning * Application to differential equations * Population-based sampling method * <http://people.cs.ubc.ca/~murphyk/MLRG/MLRGpopulationMC.pdf> * [On population-based simulation for static inference] * On the estimation of regression for Gaussia… text/html 2016-01-24T14:48:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://nd.psychstat.org/lab/projects/01bayesian_differential_equations/using_winbugs_for_data_analysis WinBUGS * [Manual for differential equations in WinBUGS] Generate data ## Generate data from a differential equation ## y' = .1y t<-1:100 y<-exp(.05*t)+rnorm(100) plot(t, y, type='l') dput(y) dput(seq(1,100,1)) library(deSolve) N=100 ########################################################## ## Simulate data from predator-prey model ## x'=4x-0.8xy ## y'=-3y+0.5xy ## sample size=N ########################################################## ##----------------------------------## ## d…