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RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v
retrieving revision 1.25
retrieving revision 1.27
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--- OpenXM/src/hgm/doc/ref-hgm.html	2018/05/07 04:50:46	1.25
+++ OpenXM/src/hgm/doc/ref-hgm.html	2018/11/13 01:14:49	1.27
@@ -12,6 +12,16 @@ the Holonomic Gradient Descent Method  (HGD) </h1>
 
 <h2> Papers  and Tutorials</h2>
 <ol>
+<li> M.Harkonen, T.Sei, Y.Hirose,
+Holonomic extended least angle regression,
+<a href="https://arxiv.org/abs/1809.08190"> arxiv:1809.08190 </a>
+<li> S.Mano,
+Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics,
+<a href="https://www.springer.com/jp/book/9784431558866">
+JSS Research Series in Statistics</a>, 2018.
+<li> A.Kume, T.Sei,
+On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method,
+<a href="https://doi.org/10.1007/s11222-017-9765-3"> doi </a> (2018)
 <li> Yoshihito Tachibana, Yoshiaki Goto, Tamio Koyama, Nobuki Takayama,
 Holonomic Gradient Method for Two Way Contingency Tables,
 <a href="https://arxiv.org/abs/1803.04170"> arxiv:1803.04170 </a>
@@ -251,6 +261,6 @@ maximal Likehood estimates for the Fisher-Bingham dist
 <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a>
 </ol>
 
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+<pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.26 2018/07/06 06:01:51 takayama Exp $ </pre>
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