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Slater, Mel: Bayesian methods in statistics : from concepts to practice / Mel Slater. -
Los Angeles: Sage, [2022]. - xxvii, 239 Seiten : Illustrationen, ISBN 978-1-5297-6861-9
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Signatur: UBN/SK 830 S631
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Calvetti, Daniela: Bayesian Scientific Computing / by Daniela Calvetti, Erkki Somersalo. - 1st ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XVII, 286 p. 77 illus., 55 illus. in color.), ISBN 978-3-031-23824-6
(Applied Mathematical Sciences ; 215)
DOI: 10.1007/978-3-031-23824-6
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Mazur, Johanna: Bayesian inference of gene regulatory networks : from parameter estimation to experimental design / Johanna Mazur, 2012. - Online-Ressource (XXIII, 228 S.)
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Mazur, Johanna: Bayesian inference of gene regulatory networks : from parameter estimation to experimental design / vorgelegt von Johanna Mazur, 2012. - XXIII, 228 S. : Ill., graph. Darst.
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Chan, Joshua: Bayesian econometric methods / Joshua Chan (Purdue University, Indiana), Gary Koop (University of Strathclyde), Dale J. Poirier (Un… . - Second edition. -
Cambridge ; New York, NY ; Port Melbourne, VIC ; New Delhi ; Singapore: Cambridge University Press, 2020. - xxiii, 466 Seiten : Diagramme, ISBN 978-1-108-42338-0
(Econometric exercises ; Volume 7)
DOI: 10.1017/9781108525947
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ausleihbar  Signatur: 2019 A 13320
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West, Brady T.: Linear mixed models : a practical guide using statistical software / Brady T. West, Kathleen B. Welch, Andrzej T. Galecki ; with contributions from Brenda W. Gillespie. - Third edition. -
Boca Raton: CRC Press, Taylor & Francis Group, 2022. - xxxviii, 461 Seiten : Diagramme, Illustrationen, ISBN 978-1-032-01932-1
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Canary Islands Winter School of Astrophysics <26., 2014, La Laguna, Teneriffa>: Bayesian astrophysics / edited by Andrés Asensio Ramos (Instituto de Astrofísica de Canarias, Tenerife), Iñigo Arregui (Inst… . -
Cambridge, United Kingdom ; New York, NY ; Port Melbourne ; New Delhi ; Singapore: Cambridge University Press, 2018. - xiii, 194 Seiten : Illustrationen, Diagramme, ISBN 978-1-107-49958-4
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Harrer, Mathias: Doing meta-analysis with R : a hands-on guide / Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert. - First edition. -
Boca Raton ; London ; New York: CRC Press, Taylor & Francis Group, 2022. - 1 Online-Ressource (xxvi, 474 Seiten), ISBN 978-1-000-43563-4
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Albert, Jim: Probability and Bayesian modeling / Jim Albert, Jingchen Hu. -
Boca Raton ; London ; New York: CRC Press Taylor & Francis Group, [2020]. - xiv, 537 Seiten : Illustrationen, Diagramme, ISBN 978-1-138-49256-1
(Chapman & Hall/CRC texts in statistical science series)
(A Chapman & Hall book)
Buch/keine Angabe |
ausleihbar Signatur: 2020 A 8544
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McNulty, Keith: Handbook of regression modeling in people analytics : with examples in R and Python / Keith McNulty. - First edition. -
Boca Raton ; London ; New York: CRC Press, 2021. - xvi, 255 Seiten : Diagramme, ISBN 978-1-03-204174-2
Buch/keine Angabe |
ausleihbar Signatur: 2021 A 12653
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Korosteleva, Olga: Stochastic processes with R : an introduction / Olga Korosteleva. - First edition. -
Boca Raton ; London ; New York: CRC Press, 2022. - 1 Online-Ressource (ix, 190 Seiten), ISBN 978-1-000-53737-6
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Lin, Sarah: Hands-on data science for librarians / Sarah Lin, Dorris Scott. -
Boca Raton ; London ; New York: CRC Press, 2023. - 1 Online-Ressource (xix, 180 Seiten) : Diagramme, ISBN 978-1-003-21801-2
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McElreath, Richard: Statistical rethinking : a Bayesian course with examples in R and Stan / Richard McElreath. - Second edition. -
Boca Raton ; London ; New York: CRC Press, Taylor & Francis Group, 2020. - xvii, 593 Seiten : Illustrationen, Diagramme, ISBN 978-0-367-13991-9
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Handbook of measurement error models / edited by Grace Y. Yi, Aurore Delaigle, and Paul Gustafson. - First edition. -
Boca Raton ; London ; New York: CRC Press, Taylor & Francis Group, 2021. - 1 Online-Ressource (xiv, 577 Seiten) : Diagramme, ISBN 978-1-315-10127-9
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Carlin, Bradley P.: Bayes and empirical Bayes methods for data analysis / Bradley P. Carlin and Thomas A. Louis. - CRC Press reprint. -
Boca Raton [u.a.]: Chapman & Hall/CRC, 1998. - XVI, 399 S : Ill., graph. Darst, ISBN 978-0-412-05611-6
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Hoffmann, John P.: Linear regression models : applications in R / John P. Hoffmann. -
Boca Raton ; London ; New York: CRC Press, Taylor & Francis Group, 2022. - xv, 420 Seiten : Illustrationen, Diagramme, ISBN 978-0-367-75368-9
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Handbook of approximate bayesian computation / edited by S.A. Sisson, Y. Fan, M.A. Beaumont. -
Boca Raton ; London ; New York: CRC Press, Taylor & Francis Group, [2019]. - xvi, 662 Seiten : Illustrationen, Diagramme, ISBN 978-1-4398-8150-7
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Heintel, Markus: Computerintensive Bayes-Schätzungen in Fehler-in-den-Variablen-Modellen / von Markus Heintel. -
Stuttgart: Lucius und Lucius, 1999. - XII, 209 S., ISBN 978-3-8282-0099-9
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Hanada, Masanori: MCMC from Scratch : a practical introduction to Markov Chain Monte Carlo / Masanori Hanada, So Matsuura. -
Singapore: Springer, 2022. - 1 Online-Ressource (IX, 194 Seiten), ISBN 978-981-19-2715-7
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Handbook of structural equation modeling / edited by Rick H. Hoyle. - Second edition. -
New York ; London: The Guilford Press, [2023]. - xiv, 785 Seiten : Diagramme, ISBN 978-1-4625-4464-6
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