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Line 12  the Holonomic Gradient Descent Method  (HGD) </h1>
Line 12  the Holonomic Gradient Descent Method  (HGD) </h1>
   
 <h2> Papers  and Tutorials</h2>  <h2> Papers  and Tutorials</h2>
 <ol>  <ol>
   <li> M.Harkonen, T.Sei, Y.Hirose,
   Holonomic extended least angle regression,
   <a href="https://arxiv.org/abs/1809.08190"> arxiv:1809.08190 </a>
   <li> S.Mano,
   Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics,
   <a href="https://www.springer.com/jp/book/9784431558866">
   JSS Research Series in Statistics</a>, 2018.
 <li> A.Kume, T.Sei,  <li> A.Kume, T.Sei,
 On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method,  On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method,
 <a href="https://doi.org/10.1007/s11222-017-9765-3"> doi </a> (2018)  <a href="https://doi.org/10.1007/s11222-017-9765-3"> doi </a> (2018)
Line 254  maximal Likehood estimates for the Fisher-Bingham dist
Line 261  maximal Likehood estimates for the Fisher-Bingham dist
 <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a>  <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a>
 </ol>  </ol>
   
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