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autoregressive_process_specification.m

  • stepan's avatar
    fd251e6b
    · fd251e6b
    stepan authored
    v4.1:: Added a new function. Computes the autoregressive parameters of
    an AR(p) stochastic process from an autocorrelation function. This
    function is used  to define a prior over  the autocorrelation function
    and variance of an autoregressive exogenous variable (productivity,...)
    instead of  defining a prior over  the variance of  the innovation and
    the autoregressive parameters. This can be done in the steady state file.
    
    
    git-svn-id: https://www.dynare.org/svn/dynare/trunk@2450 ac1d8469-bf42-47a9-8791-bf33cf982152
    fd251e6b
    History
    stepan authored
    v4.1:: Added a new function. Computes the autoregressive parameters of
    an AR(p) stochastic process from an autocorrelation function. This
    function is used  to define a prior over  the autocorrelation function
    and variance of an autoregressive exogenous variable (productivity,...)
    instead of  defining a prior over  the variance of  the innovation and
    the autoregressive parameters. This can be done in the steady state file.
    
    
    git-svn-id: https://www.dynare.org/svn/dynare/trunk@2450 ac1d8469-bf42-47a9-8791-bf33cf982152