dynare/matlab/doc/prior_bounds.html

90 lines
5.3 KiB
HTML

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/REC-html40/loose.dtd">
<html>
<head>
<title>Description of prior_bounds</title>
<meta name="keywords" content="prior_bounds">
<meta name="description" content="">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta name="generator" content="m2html &copy; 2003 Guillaume Flandin">
<meta name="robots" content="index, follow">
<link type="text/css" rel="stylesheet" href="../m2html.css">
</head>
<body>
<a name="_top"></a>
<div><a href="../index.html">Home</a> &gt; <a href="index.html">.</a> &gt; prior_bounds.m</div>
<!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png">&nbsp;Master index</a></td>
<td align="right"><a href="index.html">Index for .&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>-->
<h1>prior_bounds
</h1>
<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong></strong></div>
<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function bounds = prior_bounds(bayestopt) </strong></div>
<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"></pre></div>
<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="mj_qgamma.html" class="code" title="function x = mj_qgamma(p,a)">mj_qgamma</a> MJ_QGAMMA The gamma inverse distribution function</li><li><a href="qbeta.html" class="code" title="function x = qbeta(p,a,b)">qbeta</a> QBETA The beta inverse distribution function</li><li><a href="qnorm.html" class="code" title="function x = qnorm(p,m,s)">qnorm</a> QNORM The normal inverse distribution function</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="dynare_MC.html" class="code" title="function dynare_MC(var_list_)">dynare_MC</a> </li><li><a href="dynare_estimation.html" class="code" title="function dynare_estimation(var_list_)">dynare_estimation</a> </li></ul>
<!-- crossreference -->
<h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre>0001 <a name="_sub0" href="#_subfunctions" class="code">function bounds = prior_bounds(bayestopt)</a>
0002 <span class="keyword">global</span> options_
0003
0004 pshape = bayestopt.pshape;
0005 pmean = bayestopt.pmean;
0006 p2 = bayestopt.p2;
0007 p3 = bayestopt.p3;
0008 p4 = bayestopt.p4;
0009
0010 n = length(pmean);
0011 bounds = zeros(n,2);
0012
0013 <span class="keyword">for</span> i=1:n
0014 <span class="keyword">switch</span> pshape(i)
0015 <span class="keyword">case</span> 1
0016 mu = (pmean(i)-p3(i))/(p4(i)-p3(i));
0017 stdd = p2(i)/(p4(i)-p3(i));
0018 A = (1-mu)*mu^2/stdd^2 - mu;
0019 B = A*(1/mu - 1);
0020 bounds(i,1) = <a href="qbeta.html" class="code" title="function x = qbeta(p,a,b)">qbeta</a>(options_.prior_trunc,A,B)*(p4(i)-p3(i))+p3(i);
0021 bounds(i,2) = <a href="qbeta.html" class="code" title="function x = qbeta(p,a,b)">qbeta</a>(1-options_.prior_trunc,A,B)*(p4(i)-p3(i))+p3(i);
0022 <span class="keyword">case</span> 2
0023 b = p2(i)^2/(pmean(i)-p3(i));
0024 a = (pmean(i)-p3(i))/b;
0025 bounds(i,1) = <a href="mj_qgamma.html" class="code" title="function x = mj_qgamma(p,a)">mj_qgamma</a>(options_.prior_trunc,a)*b+p3(i);
0026 bounds(i,2) = <a href="mj_qgamma.html" class="code" title="function x = mj_qgamma(p,a)">mj_qgamma</a>(1-options_.prior_trunc,a)*b+p3(i);
0027 <span class="keyword">case</span> 3
0028 bounds(i,1) = <a href="qnorm.html" class="code" title="function x = qnorm(p,m,s)">qnorm</a>(options_.prior_trunc,pmean(i),p2(i));
0029 bounds(i,2) = <a href="qnorm.html" class="code" title="function x = qnorm(p,m,s)">qnorm</a>(1-options_.prior_trunc,pmean(i),p2(i));
0030 <span class="keyword">case</span> 4
0031 nu = p2(i);
0032 mu = pmean(i);
0033 beta = ( gamma( (nu-1)/2 ) / mu / gamma( nu/2 ) )^2;
0034 a=2/beta;
0035 bounds(i,1) = 1/sqrt(<a href="mj_qgamma.html" class="code" title="function x = mj_qgamma(p,a)">mj_qgamma</a>(1-options_.prior_trunc,p2(i)/2)*beta);
0036 bounds(i,2) = 1/sqrt(<a href="mj_qgamma.html" class="code" title="function x = mj_qgamma(p,a)">mj_qgamma</a>(options_.prior_trunc,p2(i)/2)*beta);
0037 <span class="keyword">case</span> 5
0038 bounds(i,1) = p3(i);
0039 bounds(i,2) = p4(i);
0040 <span class="keyword">otherwise</span>
0041 bounds(i,1) = -Inf;
0042 bounds(i,2) = Inf;
0043 <span class="keyword">end</span>
0044 <span class="keyword">end</span></pre></div>
<hr><address>Generated on Fri 16-Jun-2006 09:09:06 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/">m2html</a></strong> &copy; 2003</address>
</body>
</html>