### DÃ©tail de l'auteur

## Auteur Vehtari, A. |

### Documents disponibles écrits par cet auteur (2)

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Titre : Regression and other stories Type de document : livre Auteurs : Gelman, A., Auteur ; Hill, J., Auteur ; Vehtari, A., Auteur Mention d'Ã©dition : 1st ed., reprinted Editeur : Cambridge, UK : Cambridge University Press AnnÃ©e de publication : 2021 Collection : Analytical methods for social research Importance : 534 p. ISBN/ISSN/EAN : â€Ž978-1-107-67651-0 Prix : 40.84 EUR Note gÃ©nÃ©rale : First ed. 2021, reprinted 2021; DOI:10.1017/9781139161879; Home page for the book including the code and data for the examples : https://avehtari.github.io/ROS-Examples/ Langues : Anglais ( eng)Mots-clÃ©s : Statistical methods Computer programming RÃ©sumÃ© : L'Ã©diteur indique : Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting. En ligne : https://doi.org/10.1017/9781139161879 Regression and other stories [livre] / Gelman, A., Auteur ; Hill, J., Auteur ; Vehtari, A., Auteur . - 1st ed., reprinted . - Cambridge, UK : Cambridge University Press, 2021 . - 534 p.. - (Analytical methods for social research) .ISSN: â€Ž978-1-107-67651-0 : 40.84 EUR

First ed. 2021, reprinted 2021; DOI:10.1017/9781139161879; Home page for the book including the code and data for the examples : https://avehtari.github.io/ROS-Examples/

Langues : Anglais (eng)

Mots-clÃ©s : Statistical methods Computer programming RÃ©sumÃ© : L'Ã©diteur indique : Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting. En ligne : https://doi.org/10.1017/9781139161879 ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 69833 GEL_11_69833 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043Bayesian data analysis / Gelman, A. (2014)

Titre : Bayesian data analysis Type de document : livre Auteurs : Gelman, A., Auteur ; Carlin, J.B., Auteur ; Stern, H.S., Auteur ; Dunson, D.B., Auteur ; Vehtari, A., Auteur ; Rubin, D.B., Auteur Mention d'Ã©dition : 3rd ed. Editeur : Boca Raton, Florida : CRC Press AnnÃ©e de publication : 2014 Collection : Texts in statistical science Importance : 661 p. ISBN/ISSN/EAN : 978-1-4398-4095-5 Note gÃ©nÃ©rale : Voir aussi la 2ème édition de 2004 à la cote 68206/11 Langues : Anglais ( eng)Mots-clÃ©s : Bayesian statistical decision theory Data analysis Statistical methods RÃ©sumÃ© : "Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book" Bayesian data analysis [livre] / Gelman, A., Auteur ; Carlin, J.B., Auteur ; Stern, H.S., Auteur ; Dunson, D.B., Auteur ; Vehtari, A., Auteur ; Rubin, D.B., Auteur . - 3rd ed. . - Boca Raton, Florida : CRC Press, 2014 . - 661 p.. - (Texts in statistical science) .ISBN: 978-1-4398-4095-5

Voir aussi la 2ème édition de 2004 à la cote 68206/11

Langues : Anglais (eng)

Mots-clÃ©s : Bayesian statistical decision theory Data analysis Statistical methods RÃ©sumÃ© : "Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book" ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 69295 GEL_11_69295 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043