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Differential-geometrical methods in statistics Amari S.
Publisher: Springer

Methods of information geometry - Shunʾichi Amari, Hiroshi. Differential-geometrical methods. Introduction To Mathematical Statistics, 6/E. All methods are presented within the context of Probability theory and its use in physical modeling is covered, as is the statistical analysis of data and parameter estimation. In fact, the University of Nottingham Catalogue of Modules is available online at. Topics: numerical linear algebra, solution of nonlinear algebraic equations and ordinary differential equations, solution of partial differential equations (e.g. Navier-Stokes), numerical methods in molecular simulation (dynamics, geometry optimization). On UCAS visit days I am sometimes asked for a full list of all of our modules and their details. This research thrust is concerned with stochastic partial differential equations, measure-valued stochastic processes, weakly interacting stochastic systems, and topics in applied probability. Shop for Books on Google Play.. Non-linear Systems and Non-Linear Automatic Control Sliding Mode Control Differential Geometry methods in non-linear control.