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RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v
retrieving revision 1.22
retrieving revision 1.28
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--- OpenXM/src/hgm/doc/ref-hgm.html	2016/11/03 23:19:18	1.22
+++ OpenXM/src/hgm/doc/ref-hgm.html	2019/04/23 22:51:12	1.28
@@ -2,6 +2,8 @@
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@@ -12,6 +14,30 @@ the Holonomic Gradient Descent Method  (HGD) </h1>
 
 <h2> Papers  and Tutorials</h2>
 <ol>
+<li> 
+N.Takayama, L.Jiu, S.Kuriki, Y.Zhang,
+Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix,
+<a href="https://arxiv.org/abs/1903.10099"> arxiv:1903.10099 </a>
+<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窶釘ingham 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>
+<li> F.H.Danufane, K.Ohara, N.Takayama, C.Siriteanu,
+Holonomic Gradient Method-Based CDF Evaluation for the Largest Eigenvalue of a Complex Noncentral Wishart Matrix
+(Title of the version 1: Holonomic Gradient Method for the Distribution Function of the Largest Root of Complex Non-central Wishart Matrices),
+<a href="https://arxiv.org/abs/1707.02564"> arxiv:1707.02564 </a>
+<li> T.Koyama,
+An integral formula for the powered sum of the independent, identically and normally distributed random variables,
+<a href="https://arxiv.org/abs/1706.03989"> arxiv:1706.03989 </a>
 <li> H.Hashiguchi, N.Takayama, A.Takemura,
 Distribution of Ratio of two Wishart Matrices and Evaluation of Cumulative Probability
 by Holonomic Gradient Method,
@@ -241,6 +267,6 @@ 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>
 
-<pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.21 2016/11/03 23:05:22 takayama Exp $ </pre>
+<pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.27 2018/11/13 01:14:49 takayama Exp $ </pre>
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