Geometry and Statistics

Contributors in this volume include:
Frederic Barbaresco
Mark Girolami
Wolfgang Stummer
Salem Said
Ke Sun
Xavier Pennec
Donald Martin
Paul Marriott
Steven G. Krantz
Frank Nielsen
Arni S.R. Srinivasa Rao

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• Estocástica

Accelerated optimization; Active inference; Affine connection; Affine geometry; Autoencoders; Auxiliary Markov chain; Bayesian inference; Cardiac motion analysis; Casimir function; Cauchy mixture; Collapsed Gibbs sampler; Complex analysis; Complex bundles; Convex geometry; Convex optimization; Decision theory; Dimensionality reduction; Dirichlet process; Dissipative systems; Embedding; Entropy; Exponential density family; Exponential family; Fisher metric; Gaussian distribution; Geometry of distributions; Hamiltonian Monte Carlo; Heat equation; Hessian manifold; Holomorphism; Homogeneous regular cone; Information geometry; Jordan curves; Koszul-Fisher Metric; Latent space; Lie groups thermodynamics; Longitudinal studies; Manifold learning; Markov-Chain Monte Carlo; Maximum entropy; Mean trajectory; Mixture family; Mixture models; Multilevel complex planes; Nonstandard asymptotics; Parallel transport; PDEs; Poisson Cohomology Symmetric Positive Definite Matrices; Pole ladder; Quotient mapping; Random matrix theory; Randomness; Rao distance; Recursive computation; Regularization; Reproducing kernel; Riemannian manifold; Riemannian manifolds; Schild's ladder; Singular models; Spinning; Stein's method; Symmetric space; Symplectic geometry; Variational inference; a-Divergence