===================================================================
RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v
retrieving revision 1.29
retrieving revision 1.34
diff -u -p -r1.29 -r1.34
--- OpenXM/src/hgm/doc/ref-hgm.html 2019/10/31 01:53:51 1.29
+++ OpenXM/src/hgm/doc/ref-hgm.html 2022/08/21 21:47:08 1.34
@@ -14,6 +14,16 @@ 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
@@ -21,7 +31,9 @@ D-Modules and Holonomic Functions
-
N.Takayama, L.Jiu, S.Kuriki, Y.Zhang,
Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix,
- arxiv:1903.10099
+
+ jmva
- M.Harkonen, T.Sei, Y.Hirose,
Holonomic extended least angle regression,
arxiv:1809.08190
@@ -55,8 +67,10 @@ of complex non-central Wishart matrices,
- S.Mano,
The A-hypergeometric System Associated with the Rational Normal Curve and
Exchangeable Structures,
+ doi ,
arxiv:1607.03569
+
- M.Noro,
System of Partial Differential Equations for the Hypergeometric Function 1F1 of a Matrix Argument on Diagonal Regions,
ACM DL
@@ -71,6 +85,9 @@ 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,
@@ -271,6 +288,6 @@ maximal Likehood estimates for the Fisher-Bingham dist
- d-dimensional Fisher-Bingham System
- $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.28 2019/04/23 22:51:12 takayama Exp $
+ $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.33 2021/12/13 04:40:21 takayama Exp $