Atjaunināt sīkdatņu piekrišanu

E-grāmata: Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin

Edited by , Edited by
  • Formāts: EPUB+DRM
  • Izdošanas datums: 21-Oct-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031613296
Citas grāmatas par šo tēmu:
  • Formāts - EPUB+DRM
  • Cena: 214,13 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Nonparametric Bayesian Inference: Contributions by Jean-Marie RolinPalielināt
  • Formāts: EPUB+DRM
  • Izdošanas datums: 21-Oct-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031613296
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain and died on November 5th, 2018. He made important contributions in mathematical statistics with applications to different fields like econometrics or biometrics.These papers cover a variety of topics, including:





The Mathematical structure of the Bayesian model and the main concepts (sufficiency, ancillarity, invariance)





Representation of the Dirichlet processes and of the associated Polya urn model and applications to nonparametric bayesian analysis.





Contributions to duration models and to their non parametric bayesian treatment.

Chapter
1. On the a-Algebraic Realization Problem.
Chapter
2. Weak Conditional Independence And Relative Invariance in Bayesian Statistics.
Chapter
3. Some Useful Properties of the Dirichlet Process.
Chapter
4. On the Distribution of Jumps of the Dirichlet Process.
Chapter
5. Bayes, Bootstrap, Moments.
Chapter
6. Smooth vs. likelihood estimation for a class of mixtures of discrete distributions.
Chapter
7. Bayesian Encompassing Specification Tests of a Parametric Model against a Non Parametric Alternative.
Chapter
8. Nonparametric Bayesian Survival Analysis.
Chapter
9. Simulation of Posterior Distributions in Nonparametric Censored Analysis.
Chapter
10. Bayesian Identification of Semi-Parametric Binary Response Models.
Chapter
11. Survival Data with Explanatory Processes: A Full Nonparametric Bayesian Analysis.
Chapter
12. Nonparametric Competing Risks Models: Identification and Strong Consistency.

Jean-Pierre Florens is an influential French econometrician at Toulouse School of Economics. He is known for his research on Bayesian information, econometrics of stochastic processes, causality, frontier estimation, and inverse problems. He has written 3 books and over 100 articles. Born in Marseille in 1947, France, he completed his undergraduate studies in economics, political science, and mathematics at the Aix-Marseille University. He pursued graduate studies in mathematics at the University of Rouen. He is a fellow of the Econometric Society.





Michel Mouchart was born in Huy in 1939, Belgium. He completed undergraduate studies in Commercial Sciences at the Institut Supérieur Saint-Ignace (Antwerp) and Economics at the University of Louvain, along with a PhD in Economics. He has been an Elected Member of International Statistical and member of Institute Société Belge de Statistique. He is also a member of the Editorial Boards: Statistica, Internationale Econometric Review. His biography has 101 articles and 3 books (as author or co-author).
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97830316132966e.html