Creates the precision (inverse covariance) matrix of an AR(1) process with
sigma, observed at the time points in the
times. The process is assumed to be in stationarity and to
have Gaussian errors.
An vector of positive integers, preferably ordered.
A real number strictly less than 1 in absolute value.
A positive real number.
A square matrix with
1 2 3 4 5
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