Gentle Introduction to Modeling with Matrices and Vectors: A Probabilistic Weather Model

This video gives an intro example of how we model complex systems that change in time, using matrices and vectors. Specifically, I build a toy model for the weather, where the probability of the weather today being "(R)ainy", "(N)ice", or "(C)loudy" is stored in a vector [R, N, C]. This probability of the weather being in one of these states tomorrow is then updated by multiplying this vector by a probability matrix. Code examples are given in Python and Matlab.