Examples of Markov Chains - A Very Simple Weather Model

A Very Simple Weather Model

The probabilities of weather conditions (modeled as either rainy or sunny), given the weather on the preceding day, can be represented by a transition matrix:

 P = \begin{bmatrix} 0.9 & 0.1 \\ 0.5 & 0.5 \end{bmatrix}

The matrix P represents the weather model in which a sunny day is 90% likely to be followed by another sunny day, and a rainy day is 50% likely to be followed by another rainy day. The columns can be labelled "sunny" and "rainy", and the rows can be labelled in the same order.

(P)i j is the probability that, if a given day is of type i, it will be followed by a day of type j.

Notice that the rows of P sum to 1: this is because P is a stochastic matrix.

Read more about this topic:  Examples Of Markov Chains

Famous quotes containing the words simple, weather and/or model:

    The Simple Life is not a simple life.
    Mason Cooley (b. 1927)

    Haze, char, and the weather of All Souls:
    A giant absence mopes upon the trees:
    Richard Wilbur (b. 1921)

    She represents the unavowed aspiration of the male human being, his potential infidelity—and infidelity of a very special kind, which would lead him to the opposite of his wife, to the “woman of wax” whom he could model at will, make and unmake in any way he wished, even unto death.
    Marguerite Duras (b. 1914)