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.
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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.
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New. Print on demand Sewn binding. Cloth over boards. 248 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob.
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Fine. Sewn binding. Cloth over boards. 248 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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