=================================================================== RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v retrieving revision 1.21 retrieving revision 1.28 diff -u -p -r1.21 -r1.28 --- OpenXM/src/hgm/doc/ref-hgm.html 2016/11/03 23:05:22 1.21 +++ OpenXM/src/hgm/doc/ref-hgm.html 2019/04/23 22:51:12 1.28 @@ -2,6 +2,8 @@ + + References for HGM @@ -12,6 +14,30 @@ the Holonomic Gradient Descent Method (HGD)

Papers and Tutorials

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  1. +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 +
  2. M.Harkonen, T.Sei, Y.Hirose, +Holonomic extended least angle regression, + arxiv:1809.08190 +
  3. S.Mano, +Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics, + +JSS Research Series in Statistics, 2018. +
  4. A.Kume, T.Sei, +On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method, + doi (2018) +
  5. Yoshihito Tachibana, Yoshiaki Goto, Tamio Koyama, Nobuki Takayama, +Holonomic Gradient Method for Two Way Contingency Tables, + arxiv:1803.04170 +
  6. 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 +
  7. T.Koyama, +An integral formula for the powered sum of the independent, identically and normally distributed random variables, + arxiv:1706.03989
  8. H.Hashiguchi, N.Takayama, A.Takemura, Distribution of Ratio of two Wishart Matrices and Evaluation of Cumulative Probability by Holonomic Gradient Method, @@ -105,7 +131,9 @@ 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
  9. Intro @@ -239,6 +267,6 @@ maximal Likehood estimates for the Fisher-Bingham dist
  10. d-dimensional Fisher-Bingham System
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