Bayesian Nonparametrics for Causal Inference and Missing Data, Hardback - Jason Roy

Detalii:

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.Publisher: Taylor & Francis LtdAuthor(s): Jason RoyIllustration(s): 8 Tables, black and white; 42 Line drawings, black and white; 42 Illustrations, black and whiteNumber of pages: 248Collection: Chapman & Hall/CRC Monographs on Statistics and Applied ProbabilityPublication date: 2023Dimensions: 159 x 242 x 22Cover type: Hardback

Preț:

707.99 ^RON

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Vânzător: Elefant.ro
Brand: Taylor & Francis Ltd