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Books by Peter Müller






Learn German for Beginners
Master Your German Vocabulary with 1,000 of the Most Commonly Used Words, Verbs, Phrases and Over 100 German Conversations (Paperback)
by Peter Müller
227 Pages, Published 2019 by Independently Published
ISBN-13: 978-1-69473-259-0, ISBN: 1-69473-259-2

"A: Yes, this book is especially written for beginners. Q: Is the book written in German? A: No, the book is in English and all the German contents are translated in English. Q: After reading this book, will my German improve?"






Computational Bayesian Statistics(1st Edition)
An Introduction (Institute of Mathematical Statistics Textbooks)
by Carlos Daniel Paulino, Peter Müller
Hardcover, 254 Pages, Published 2019 by Cambridge University Press
ISBN-13: 978-1-108-48103-8, ISBN: 1-108-48103-5

"Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inf ..."






Computational Bayesian Statistics
An Introduction
by Carlos Daniel Paulino, Peter Müller
Published 2019 by Cambridge University Press
ISBN-13: 978-1-108-57461-7, ISBN: 1-108-57461-0

"An Introduction M. Antónia Amaral Turkman, Carlos Daniel Paulino, Peter Müller. Computational Bayesian Statistics An Introduction Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals."






Computational Bayesian Statistics(1st Edition)
Volume 11: An Introduction (Institute of Mathematical Statistics Textbooks)
by Carlos Daniel Paulino, Peter Müller, Peter Mueller
Paperback, 254 Pages, Published 2019 by Cambridge University Press
ISBN-13: 978-1-108-70374-1, ISBN: 1-108-70374-7

"Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inf ..."






Diss. De Ambitu Connubiali, Oder Vom Freywerben
by Johann Heinrich Schmalian, Peter Müller
Paperback, 32 Pages, Published 2019 by Wentworth Press
ISBN-13: 978-1-01-120860-9, ISBN: 1-01-120860-1

"This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work ..."






Learn German for Beginners
Master Your Vocabulary with 1,000 of the Most Commonly Used Words, Verbs, Phrases and Over 100 Conversations (Paperback)
by Peter Müller
Paperback, Published 2019 by Independently Published, United States
ISBN-13: 978-1-70651-152-6, ISBN: 1-70651-152-3






Matthias Eberhard, Bischof Von Trier
Ein Lebensbild (Classic Reprint) (Hardback Or Cased Book)
by Peter Müller
Hardcover, Published 2018 by Forgotten Books
ISBN-13: 978-0-428-99955-1, ISBN: 0-428-99955-7






Matthias Eberhard, Bischof von Trier
Ein Lebensbild (Classic Reprint) (German Edition)
by Peter Müller
Paperback, 54 Pages, Published 2018 by Forgotten Books
ISBN-13: 978-0-259-84386-3, ISBN: 0-259-84386-5

"Excerpt from Matthias Eberhard, Bischof von Trier: Ein LebensbildDie Seele einwirfen, wenn man 3. S}. Die ‚'betracbtung über Die g öttlicbe Sorfebung narblieät: „(eott reicbt mit feiner Slacbt oon einem (ende Der (erde biß gum andern und durcbdringt Slllecs mit feiner slbeisäbeit. (er oaet Die ßtrlunft, und Die Segenwart ift in feiner spand, und in Der (eegenwart bereitet er Die ßuiunft por. Der (siefcbicbte lefeu wir oon einigen Rönige ..."






Diss. Iur. De Literis Amatoriis
by Peter Müller, Bernhard Pfretzschner
Paperback, 30 Pages, Published 2018 by Palala Press
ISBN-13: 978-1-378-33004-3, ISBN: 1-378-33004-8

"This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work ..."






Die gefaehrlichste aller Religionen
by Larken Rose, Peter Müller
Paperback, 271 Pages, Published 2018 by Independently Published
ISBN-13: 978-1-79203-582-1, ISBN: 1-79203-582-9






Diss. De Debito Bonorum Subsidio, Vom Pflicht-theil
by Henning Sieden, Peter Müller, Zurich Research Laboratory
Hardcover, 222 Pages, Published 2015 by Palala Press
ISBN-13: 978-1-343-24050-6, ISBN: 1-343-24050-6

"This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work ..."






Practical Nonparametric and Semiparametric Bayesian Statistics
(Lecture Notes in Statistics)
by Dipak D. Dey, Editors Debajyoti Sinha, Peter Müiler, Peter Muller Pho, Peter Mueiler, Peter Müller, Peter Miler, Peter Ma1/4Iler
Paperback, 392 Pages, Published 2013 by Springer
ISBN-13: 978-0-387-98517-6, ISBN: 0-387-98517-4

"A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologi ..."






Progress in Probability Ser.
Stochastic Modelling in Physical Oceanography
by Robert J. Adler, B.L. Rozovskii, Peter Müller
466 Pages, Published 2012 by Springer Science & Business Media
ISBN-13: 978-1-4612-2430-3, ISBN: 1-4612-2430-6

"Robert Adler, Peter Müller, B.L. Rozovskii. f |f|P(r)dr < co, where | | | is the Euclidean norm on R*. We set (Ho, (, )0) = (L2(?", dr), (, )0), where (, )0 is the standard L2– scalar product on Ho, and | |0 will denote its associated norm. In Section 4 the Markov property of our quasilinear SPDE's is proved on weighted L2-spaces Ho,x provided that the SPDE has a unique solution on Hox satisfying an apriori estimate (4.1). (By the ..."






The Equations of Oceanic Motions(1st Edition)
by Peter Müller, Peter M. Ller, Alan C. Bovik
Paperback, 302 Pages, Published 2012 by Cambridge University Press
ISBN-13: 978-1-107-41060-2, ISBN: 1-107-41060-6

"Modeling and prediction of oceanographic phenomena and climate is based on the integration of dynamic equations. The Equations of Oceanic Motions, published in 2006, derives and systematically classifies the most common dynamic equations used in physical oceanography, from large-scale thermohaline circulations to those governing small scale motions and turbulence. After establishing the basic dynamical equations that describe all oceani ..."






Lecture Notes in Statistics Ser.
Bayesian Inference in Wavelet-Based Models
by Peter Müller, Brani Vidakovic
396 Pages, Published 2012 by Springer Science & Business Media
ISBN-13: 978-1-4612-0567-8, ISBN: 1-4612-0567-0

"Peter Müller, Brani Vidakovic. – (1998), “Minimax Estimation via Wavelet Shrinkage,” Ann. Stat., 26(3), 879–921. Granger, C. and Joyeux, R. (1980), “An introduction to long memory time series models and fractional differencing,” J. Time Series Analysis, 1, 15–29. Hosking, J. (1981), “Fractional ... Vannucci, M. ( 1996), On the Application of Wavelets in Statistics, Ph.D. thesis, Dipartimento di Statistica G.Parenti, University of Fl ..."






The Equations of Oceanic Motions
by Peter Müller
Printed Access Code, Published 2010 by Cambridge University Press
ISBN-13: 978-0-511-61784-3, ISBN: 0-511-61784-4

"Modeling and prediction of oceanographic phenomena and climate is based on the integration of dynamic equations. The Equations of Oceanic Motions, published in 2006, derives and systematically classifies the most common dynamic equations used in physical oceanography, from large-scale thermohaline circulations to those governing small scale motions and turbulence. After establishing the basic dynamical equations that describe all oceani ..."






Bayesian Nonparametrics
by Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G. Walker
Published 2010 by Cambridge University Press
ISBN-13: 978-1-139-48460-2, ISBN: 1-139-48460-5

"2 The Dirichlet process, related priors and posterior asymptotics Subhashis Ghosal Here we review the role of the Dirichlet process and related prior distribtions in nonpara- metric Bayesian inference. ... Examples of such infinite- dimensional parameters include the cumulative distribution function (c.d.f.), density function, nonparametric regression function, spectral density of a time series, unknown link function in a generalize ..."






Frontiers of Statistical Decision Making and Bayesian Analysis
In Honor of James O. Berger
by Ming-Hui Chen, Peter Müller, Dongchu Sun, Keying Ye, Dipak K. Dey, James O. Berger
631 Pages, Published 2010 by Springer Science & Business Media
ISBN-13: 978-1-4419-6944-6, ISBN: 1-4419-6944-6

"In Honor of James O. Berger Ming-Hui Chen, Peter Müller, Dongchu Sun, Keying Ye, Dipak K. Dey. II f(6;ly, pi, o') = TI N(Y, pho"). Bież(j) Bież(j) The joint prior for Yi is conveniently expressed by a scaled conjugate normal prior, f(Y|aj) = N, (0, qpho'I.), which induces the posterior form f(ypic' B)=NG, "XB.", "o"). * — jknowledge of within-partition variance pja” (see (10.1.5) for notation), in that we plug in the estimated vari ..."






Cambridge Ser. in Statistical and Probabilistic Mathematics Ser.
Bayesian Nonparametrics
by Chris Holmes, Stephen G. Walker, Nils Lid Hjort, Peter Müller
Published 2010
ISBN-13: 978-0-511-67338-2, ISBN: 0-511-67338-8






The Equations of Oceanic Motions
by Peter Müller
Published 2006
ISBN-13: 978-0-511-23963-2, ISBN: 0-511-23963-7



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