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Bayesian nonparametric methods for missing data and causal inference /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bayesian nonparametric methods for missing data and causal inference /Michael J. Daniels, Antonio Linero, and Jason Roy.
作者:	Daniels, M. J.
其他作者:	Linero, Antonio,
面頁冊數:	xiv, 248pages :illustrations ;25cm.
標題:	Nonparametric statistics.
ISBN:	9780429324222$q(ebook)

Bayesian nonparametric methods for missing data and causal inference /
Daniels, M. J.

Bayesian nonparametric methods for missing data and causal inference /Michael J. Daniels, Antonio Linero, and Jason Roy. - First edition. - xiv, 248pages :illustrations ;25cm. - Chapman & Hall/CRC monographs on statistics and applied probability.

Includes bibliographical references and index.

"Bayesian nonparametric (BNP) methods can be used to flexibly model joint or conditional distributions, as well as functional relationships. These methods, along with causal and/or missingness assumptions, can be used with the g-formula to infer causal effects"--

ISBN: 9780429324222$q(ebook)

LCCN: 2023007544Subjects--Topical Terms:

182700
Nonparametric statistics.

LC Class. No.: QA278.8

Dewey Class. No.: 519.5/4

Bayesian nonparametric methods for missing data and causal inference /
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082 0 0 $a 519.5/4 $2 23/eng/20231016
100 1 $a Daniels, M. J. $3 490500
245 1 0 $a Bayesian nonparametric methods for missing data and causal inference / $c Michael J. Daniels, Antonio Linero, and Jason Roy.
250 $a First edition.
264 1 $a Boca Raton : $b CRC Press, $c 2024.
300 $a xiv, 248pages : $b illustrations ; $c 25cm.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 0 $a Chapman & Hall/CRC monographs on statistics and applied probability
504 $a Includes bibliographical references and index.
520 $a "Bayesian nonparametric (BNP) methods can be used to flexibly model joint or conditional distributions, as well as functional relationships. These methods, along with causal and/or missingness assumptions, can be used with the g-formula to infer causal effects"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher; resource not viewed.
650 0 $a Nonparametric statistics. $3 182700
650 0 $a Bayesian statistical decision theory. $3 182005
650 0 $a Missing observations (Statistics) $3 182525
650 6 $a Statistique non paramétrique. $3 966384
650 6 $a Théorie de la décision bayésienne. $3 966385
650 6 $a Observations manquantes (Statistique) $3 265582
650 7 $a Bayesian statistical decision theory $v Textbooks. $3 443102
650 7 $a Nonparametric statistics $v Textbooks. $3 445332
700 1 $a Linero, Antonio, $e author. $3 966304
700 1 $a Roy, Jason $q (Jason Allen), $e author. $3 966305
776 0 8 $i Print version: $a Daniels, M. J. $t Bayesian nonparametric methods for missing data and causal inference $b First edition. $d Boca Raton : CRC Press, 2024 $z 9780367341008 $w (DLC) 2023007543
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