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Stationary Processes and Prediction Theory. (AM-44), Volume 44
Harry Furstenberg
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Naturwissenschaften, Medizin, Informatik, Technik / Mathematik
Beschreibung
A classic treatment of stationary processes and prediction theory from the acclaimed Annals of Mathematics Studies series
Princeton University Press is proud to have published the Annals of Mathematics Studies since 1940. One of the oldest and most respected series in science publishing, it has included many of the most important and influential mathematical works of the twentieth century. The series continues this tradition as Princeton University Press publishes the major works of the twenty-first century.
To mark the continued success of the series, all books are available in paperback and as ebooks.
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Regular sequence, Periodic sequence, Sequence space, Invertible matrix, Inverse function, Extrapolation, Normed algebra, Linear map, Estimation, Shift operator, Dimension (vector space), Random variable, Independence (probability theory), Eigenvalues and eigenvectors, Stochastic process, Functional equation, Theorem, Homomorphism, Sequence, Subsequence, Equation, Special case, Subalgebra, Ergodicity, Stochastic, Existence theorem, Existential quantification, Limit (mathematics), Prediction, Cartesian product, Fubini's theorem, Semigroup, Variable (mathematics), Subset, Probability measure, Probability space, Adjoint equation, Continuous function, Fourier series, Commutative property, Continuous function (set theory), Zorn's lemma, Ergodic theory, Homeomorphism, Sign (mathematics), Coset, Function (mathematics), Dimensional analysis, Least squares, Linear combination, Corollary, Ergodic sequence, Time series, Almost periodic function, Function composition, Sample space, Predictability, Probability distribution, Characteristic function (probability theory), Identity element, Automorphism, Stationary process, Markov chain, C*-algebra, Ergodic process, Probability, Generic point, Lebesgue measure, Linear prediction, Metric space