From Statistical Physics to Statistical Inference and Back (Nato Science Series C: (Closed)
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From Statistical Physics to Statistical Inference and Back (2012)
NL PB NWISBN: 9789401044653 bzw. 9401044651, in Holländisch, Springer, Taschenbuch, neu.
Lieferung aus: Niederlande, Vermoedelijk 4-6 weken.
bol.com.
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series ... Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work.Taal: Engels;Afmetingen: 19x240x160 mm;Gewicht: 587,00 gram;Verschijningsdatum: oktober 2012;ISBN10: 9401044651;ISBN13: 9789401044653; Engelstalig | Paperback | 2012.
bol.com.
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series ... Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work.Taal: Engels;Afmetingen: 19x240x160 mm;Gewicht: 587,00 gram;Verschijningsdatum: oktober 2012;ISBN10: 9401044651;ISBN13: 9789401044653; Engelstalig | Paperback | 2012.
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From Statistical Physics to Statistical Inference and Back (Nato Science Series C: (Closed) (2013)
EN PB NWISBN: 9789401044653 bzw. 9401044651, in Englisch, 368 Seiten, Springer, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 1-2 business days, exclusief verzendkosten (indien geleverd).
Von Händler/Antiquariat, BOOKS etc.
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work. Paperback, Editie: Softcover reprint of the original 1st ed. 1994, Label: Springer, Springer, Productgroep: Book, Gepubliceerd: 2013-12-31, Releasedatum: 2013-12-31, Studio: Springer.
Von Händler/Antiquariat, BOOKS etc.
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work. Paperback, Editie: Softcover reprint of the original 1st ed. 1994, Label: Springer, Springer, Productgroep: Book, Gepubliceerd: 2013-12-31, Releasedatum: 2013-12-31, Studio: Springer.
3
From Statistical Physics to Statistical Inference and Back (Nato Science Series C: (Closed) (2013)
EN PB USISBN: 9789401044653 bzw. 9401044651, in Englisch, 368 Seiten, Springer, Taschenbuch, gebraucht.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 1-2 business days, exclusief verzendkosten (indien geleverd).
Von Händler/Antiquariat, Herb Tandree Philosophy Books.
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work. Paperback, Editie: Softcover reprint of the original 1st ed. 1994, Label: Springer, Springer, Productgroep: Book, Gepubliceerd: 2013-12-31, Releasedatum: 2013-12-31, Studio: Springer.
Von Händler/Antiquariat, Herb Tandree Philosophy Books.
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the 'best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work. Paperback, Editie: Softcover reprint of the original 1st ed. 1994, Label: Springer, Springer, Productgroep: Book, Gepubliceerd: 2013-12-31, Releasedatum: 2013-12-31, Studio: Springer.
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