On sampling stationary autoregressive model parameters uniformly in r2 value

This paper describes a method of sampling stationary autoregressive models so that they are uniformly distributed in r2 value. A log-Gamma distribution, whose product density is uniformly distributed over [0,1], is used to sample partial autocorrelation parameters and obtain the desired result. This method can be used for the empirical evaluation of model selection and parameter estimation criteria.