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RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v
retrieving revision 1.21
retrieving revision 1.27
diff -u -p -r1.21 -r1.27
--- OpenXM/src/hgm/doc/ref-hgm.html 2016/11/03 23:05:22 1.21
+++ OpenXM/src/hgm/doc/ref-hgm.html 2018/11/13 01:14:49 1.27
@@ -12,6 +12,26 @@ the Holonomic Gradient Descent Method (HGD)
Papers and Tutorials
+- M.Harkonen, T.Sei, Y.Hirose,
+Holonomic extended least angle regression,
+ arxiv:1809.08190
+
- S.Mano,
+Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics,
+
+JSS Research Series in Statistics, 2018.
+
- A.Kume, T.Sei,
+On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method,
+ doi (2018)
+
- Yoshihito Tachibana, Yoshiaki Goto, Tamio Koyama, Nobuki Takayama,
+Holonomic Gradient Method for Two Way Contingency Tables,
+ arxiv:1803.04170
+
- 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),
+ arxiv:1707.02564
+
- T.Koyama,
+An integral formula for the powered sum of the independent, identically and normally distributed random variables,
+ arxiv:1706.03989
- H.Hashiguchi, N.Takayama, A.Takemura,
Distribution of Ratio of two Wishart Matrices and Evaluation of Cumulative Probability
by Holonomic Gradient Method,
@@ -105,7 +125,9 @@ Holonomic Modules Associated with Multivariate Normal
Pfaffian Systems of A-Hypergeometric Equations I,
Bases of Twisted Cohomology Groups,
arxiv:1212.6103
-(major revision v2 of arxiv:1212.6103)
+(major revision v2 of arxiv:1212.6103).
+Accepted version is at
+ DOI
-
@@ -239,6 +261,6 @@ maximal Likehood estimates for the Fisher-Bingham dist
- d-dimensional Fisher-Bingham System
- $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.20 2016/09/22 02:51:13 takayama Exp $
+ $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.26 2018/07/06 06:01:51 takayama Exp $