The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential equations (ODEs). Often these models have
In this article, we write the time-varying parameter (TVP) regression model involving K explanatory variables and T observations as a constant coefficient regression model with KT
Phylogenetic relationships among caviomorphs studied. Phylogenetic relationships were estimated through Bayesian inference methods implemented in BEAST v1.6.1. Sequences from the Growth Hormone Recept
Developed MATLAB code and simulation data for the Mozart effect study. The code requires the Bayesian topology identification code and the MVGC toolbox to run (see references).
