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RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v
retrieving revision 1.25
retrieving revision 1.33
diff -u -p -r1.25 -r1.33
--- OpenXM/src/hgm/doc/ref-hgm.html 2018/05/07 04:50:46 1.25
+++ OpenXM/src/hgm/doc/ref-hgm.html 2021/12/13 04:40:21 1.33
@@ -2,6 +2,8 @@
+
+
References for HGM
@@ -12,6 +14,36 @@ the Holonomic Gradient Descent Method (HGD)
Papers and Tutorials
+- Nobuki Takayama, Takaharu Yaguchi, Yi Zhang,
+Comparison of Numerical Solvers for Differential Equations for Holonomic Gradient Method in Statistics,
+ arxiv:2111.10947
+
+
- Shuhei Mano, Nobuki Takayama,
+Algebraic algorithm for direct sampling from toric models,
+ arxiv:2110.14992
+
+
- M.Adamer, A.Lorincz, A.L.Sattelberger, B.Sturmfels, Algebraic Analysis of Rotation Data
+ arxiv: 1912.00396
+
-
+Anna-Laura Sattelberger, Bernd Sturmfels,
+D-Modules and Holonomic Functions
+ arxiv:1910.01395
+
-
+N.Takayama, L.Jiu, S.Kuriki, Y.Zhang,
+Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix,
+
+ jmva
+
- 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
@@ -51,6 +83,9 @@ region
with a multivariate normal distribution,
arxiv:1512.06564
+
- N.Takayama, Holonomic Gradient Method (in Japanese, survey),
+
+hgm-dic.pdf
- N.Takayama, S.Kuriki, A.Takemura,
A-Hpergeometric Distributions and Newton Polytopes,
@@ -251,6 +286,6 @@ maximal Likehood estimates for the Fisher-Bingham dist
- d-dimensional Fisher-Bingham System
- $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.24 2018/03/19 01:17:46 takayama Exp $
+ $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.32 2020/08/24 23:24:27 takayama Exp $