Handbook of statistics: Geometry and Statistics (Volume 46)

• Part I: Foundations in Classical Geometry and Analysis (3 chapters)
  • Geometry, Information and Complex Bundles
    by Arni S.R. Srinivasa Rao and Steven G. Krantz
  • Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
    by Alessandro Barp, Lancelot Da Cost, Guilherme Franca Karl Friston, Mark Girolami, Michael I. Jordan, and Grigorios A. Pavliotis
  • Equivalence Relations and Inference for Sparse Markov Models
    by Donald E.K. Martin, Iris Bennett, Tuhin Majumder, and Soumendra Nath Lahiri
• Part II: Information Geometry (4 chapters)
  • Symplectic Theory of Heat and Information Geometry
    by Frédéric Barbaresco
  • Unifying Framework for Some Directed Distances in Statistics
    Michel Broniatowski and Wolfgang Stummer
  • The analytic dually flat space of the mixture family of two prescribed distinct Cauchy distributions
    by Frank Nielsen
  • Local Measurements of Non-linear Embeddings with Information Geometry
    by Ke Sun
• Part III: Advanced Geometrical Intuition and Analysis (4 chapters)
  • Parallel transport, a central tool in geometric statistics for computational anatomy. Application to cardiac motion modelling
    by Nicolas Guigui and Xavier Pennec
  • Geometry and Mixture Models
    by Paul Marriott
  • Gaussian distributions on Riemannian symmetric spaces of non-positive curvature
    by Salem Said, Cyrus Mostajeran, and Simon Heuveline
  • Multilevel contours on bundles of complex planes
    by Arni S.R. Srinivasa Rao