Nicolas chopin (39 resultados)
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Hardback. Condición: Good. This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general r…eference work on the area.
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Paperback. Condición: New. 2020 ed. This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitativ…e finance, and robotics.The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book.Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed.The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a "Python corner," which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.
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Cahiers archéologiques fin de l'antiquité et moyen age n° 29
Danielle Gaborit-Chopin - A. Epstein - Tania Velmans - Nicolas Thierry - L. Ness - André Grabar - Y. Christe
Editorial: Paris, Picard, 1981
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Añadir al carritosoft cover. Condición: as new. first edition. In-quarto broché, 188 pp. La revue Cahiers Archéologiques de la fin de l'Antiquité et du Moyen Age, une des plus prestigeuses revues d'études byzantines au monde à été fondée par André Grabar et Jean Hubert. Très Nombreuses illustrations in et hors-texte. ETAT NEUF - PERFECT COPY AS…NEW - Contributions originales de : Danielle Gaborit-Chopin : L'Orfèvrerie cloisonnée à l'époque carolingienne - A. Epstein : The Fresco Decoration of the Column Churches, Goreme Valley, Cappadocia A consideration of their chronology and their models - T. Velmans : L' Image de la Déisis dans les églises de Géorgiee et dans celles d'autres régions du monde byzantin - N. Thierry : Les peintures de la cathédrale de Kobayr (Tachir) - L. Ness : Two illuminated Syriac Manuscripts in the Harward College Library - A. Grabar : Le thème du gisant dans l'art byzantin - Y. Christe : L' Apocalypse de Cimabue à Assise.
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Taschenbuch. Condición: Neu. An Introduction to Sequential Monte Carlo | Nicolas Chopin (u. a.) | Taschenbuch | xxiv | Englisch | 2021 | Springer | EAN 9783030478476 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, mac…hine learning, population ecology, quantitative finance, and robotics.The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book.Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed.The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a 'Python corner,' which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.
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Paperback. Condición: New. 2020 ed. This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitativ…e finance, and robotics.The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book.Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed.The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a "Python corner," which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.
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Hardcover. Condición: Brand New. 402 pages. 9.25x6.10x0.98 inches. In Stock.
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Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine le…arning, population ecology, quantitative finance, and robotics.The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book.Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed.The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a 'Python corner,' which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.
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Hardback. Condición: New. 2020 ed. This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitative… finance, and robotics.The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book.Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed.The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a "Python corner," which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 189 | Sprache: Französisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 189 | Sprache: Französisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Más imágenesLicences n°0
Henri Chopin William Burroughs Nicolas Zurrbrugg Elisabeth Prouvost Raoul Haussmann Alexandre Yterce
Editorial: Éditions Licences, 1999
- Primera edición
Librería: Librairie Sedon, Rochefort, FranciaLibrairie Sedon
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Añadir al carritoTrès bon état. Paris. 24 cm x 30 cm. 1999. BRoché. 34 pages. Paris Éditions Licences 1999. Broché couverture à rabat 24 cm x 30 cm 34 pages (non paginé) photos noir & blanc et couleur illustrations couleur. Textes de Henri Chopin William Burroughs Nicolas Zurrbrugg Elisabeth Prouvost Raoul Haussmann Alexandre Yterce photos de He…nri Chopin Alexandre Yterce Kenneth Gaburo François Dufrène. Exemplaire de démonstration sans le cd annoncé très bon état. Très bon état.
Idioma: Francés
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Añadir al carritoLeatherBound. Condición: New. BOOKS ARE EXEMPT FROM IMPORT DUTIES AND TARIFFS; NO EXTRA CHARGES APPLY. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. A perfect gift for your loved ones. Reprinted from 1763 edition.… NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set and contains approximately 30 pages. IF YOU WISH TO ORDER PARTICULAR VOLUME OR ALL THE VOLUMES YOU CAN CONTACT US. Resized as per current standards. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Language: French.
Editorial: Card dated by Orloff to /64. Signature on paper dated 1960, 1964
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Añadir al carritoOrloff left Russia in 1921, and toured the world as a leading interpreter of Chopin. He settled in Grantown-on-Spey in 1948, becoming a British citizen four years later. ONE: 6.5 x 14 cm bifoliate Christmas card, with blue and black illustration 'Designed by Kris'. Dated at head by Orloff '1963/64'. Beneath the printed message h…e writes a large signature on two lines: 'Nicolas Orloff'. Recipient's name written at foot, in another hand: 'Alan Lockhart'. The verso of the second leaf of this card is laid down on the verso of the following item. TWO: 10.5 x 14 cm leaf torn from autograph album, with large bold signature in blue ink: 'Nicolai Orloff / 1960.' THREE: Leaf torn from same album as Item Two, with following note by Orloff in blue ink on one side: 'Dear Aileen / with all my best wishes / N. O.' See image.
