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RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v
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retrieving revision 1.25
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--- OpenXM/src/hgm/doc/ref-hgm.html	2016/11/03 23:05:22	1.21
+++ OpenXM/src/hgm/doc/ref-hgm.html	2018/05/07 04:50:46	1.25
@@ -12,6 +12,16 @@ the Holonomic Gradient Descent Method  (HGD) </h1>
 
 <h2> Papers  and Tutorials</h2>
 <ol>
+<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,
@@ -105,7 +115,9 @@ Holonomic Modules Associated with Multivariate Normal 
 Pfaffian Systems of A-Hypergeometric Equations I,
 Bases of Twisted Cohomology Groups,
 <a href="http://arxiv.org/abs/1212.6103"> arxiv:1212.6103 </a>
-(major revision v2 of arxiv:1212.6103)
+(major revision v2 of arxiv:1212.6103).
+Accepted version is at
+<a href="http://dx.doi.org/10.1016/j.aim.2016.10.021"> DOI </a>
 
 <li> <img src="./wakaba01.png" alt="Intro">
 <a href="http://link.springer.com/book/10.1007/978-4-431-54574-3"> 
@@ -239,6 +251,6 @@ 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 1.24 2018/03/19 01:17:46 takayama Exp $ </pre>
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