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version 1.32, 2020/08/24 23:24:27 version 1.33, 2021/12/13 04:40:21
Line 14  the Holonomic Gradient Descent Method  (HGD) </h1>
Line 14  the Holonomic Gradient Descent Method  (HGD) </h1>
   
 <h2> Papers  and Tutorials</h2>  <h2> Papers  and Tutorials</h2>
 <ol>  <ol>
   <li> Nobuki Takayama, Takaharu Yaguchi, Yi Zhang,
   Comparison of Numerical Solvers for Differential Equations for Holonomic Gradient Method in Statistics,
   <a href="https://arxiv.org/abs/2111.10947"> arxiv:2111.10947 </a>
   
   <li> Shuhei Mano, Nobuki Takayama,
   Algebraic algorithm for direct sampling from toric models,
   <a href="https://arxiv.org/abs/2110.14992"> arxiv:2110.14992 </a>
   
 <li> M.Adamer, A.Lorincz, A.L.Sattelberger, B.Sturmfels, Algebraic Analysis of Rotation Data  <li> M.Adamer, A.Lorincz, A.L.Sattelberger, B.Sturmfels, Algebraic Analysis of Rotation Data
 <a href="https://arxiv.org/abs/1912.00396"> arxiv: 1912.00396 </a>  <a href="https://arxiv.org/abs/1912.00396"> arxiv: 1912.00396 </a>
 <li>  <li>
Line 278  maximal Likehood estimates for the Fisher-Bingham dist
Line 286  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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