=================================================================== RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v retrieving revision 1.24 retrieving revision 1.31 diff -u -p -r1.24 -r1.31 --- OpenXM/src/hgm/doc/ref-hgm.html 2018/03/19 01:17:46 1.24 +++ OpenXM/src/hgm/doc/ref-hgm.html 2020/06/11 22:39:10 1.31 @@ -2,6 +2,8 @@ + + References for HGM @@ -12,11 +14,34 @@ the Holonomic Gradient Descent Method (HGD)

Papers and Tutorials

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  1. M.Adamer, A.Lorincz, A.L.Sattelberger, B.Sturmfels, Algebraic Analysis of Rotation Data + arxiv: 1912.00396 +
  2. +Anna-Laura Sattelberger, Bernd Sturmfels, +D-Modules and Holonomic Functions + arxiv:1910.01395 +
  3. +N.Takayama, L.Jiu, S.Kuriki, Y.Zhang, +Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix, + + jmva +
  4. M.Harkonen, T.Sei, Y.Hirose, +Holonomic extended least angle regression, + arxiv:1809.08190 +
  5. S.Mano, +Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics, + +JSS Research Series in Statistics, 2018. +
  6. A.Kume, T.Sei, +On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method, + doi (2018)
  7. Yoshihito Tachibana, Yoshiaki Goto, Tamio Koyama, Nobuki Takayama, Holonomic Gradient Method for Two Way Contingency Tables, - arxiv:1803.04170 -
  8. F.H.Danufane, K.Ohara, N.Takayama, -Holonomic Gradient Method for the Distribution Function of the Largest Root of Complex Non-central Wishart Matrices, + arxiv:1803.04170 +
  9. 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
  10. T.Koyama, An integral formula for the powered sum of the independent, identically and normally distributed random variables, @@ -250,6 +275,6 @@ maximal Likehood estimates for the Fisher-Bingham dist
  11. d-dimensional Fisher-Bingham System
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