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- W2550389601 endingPage "146" @default.
- W2550389601 startingPage "128" @default.
- W2550389601 abstract "Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished by placing a prior distribution on an infinite-dimensional space, referred to as Bayesian nonparametric models. We provide an overview on the most popular Bayesian nonparametric models for probability distributions and for collections of predictor-dependent probability distributions. The intention of is not to be complete or exhaustive, but rather to touch on areas of interest for the practical use of the priors in the context of a hierarchical model. We give an overview covering the main properties of the basic models and the algorithms for fitting them." @default.
- W2550389601 created "2016-11-30" @default.
- W2550389601 creator A5002233749 @default.
- W2550389601 date "2017-02-01" @default.
- W2550389601 modified "2023-10-18" @default.
- W2550389601 title "Theory and computations for the Dirichlet process and related models: An overview" @default.
- W2550389601 cites W1516111018 @default.
- W2550389601 cites W1548584376 @default.
- W2550389601 cites W1698248478 @default.
- W2550389601 cites W1828886525 @default.
- W2550389601 cites W1913227953 @default.
- W2550389601 cites W1963703587 @default.
- W2550389601 cites W1967535759 @default.
- W2550389601 cites W1967611219 @default.
- W2550389601 cites W1967687583 @default.
- W2550389601 cites W1968738889 @default.
- W2550389601 cites W1971418261 @default.
- W2550389601 cites W1973352198 @default.
- W2550389601 cites W1974600023 @default.
- W2550389601 cites W1975427826 @default.
- W2550389601 cites W1978992581 @default.
- W2550389601 cites W1995522632 @default.
- W2550389601 cites W1996859651 @default.
- W2550389601 cites W2000032254 @default.
- W2550389601 cites W2001272401 @default.
- W2550389601 cites W2002068752 @default.
- W2550389601 cites W2005230390 @default.
- W2550389601 cites W2005931557 @default.
- W2550389601 cites W2006111398 @default.
- W2550389601 cites W2015458685 @default.
- W2550389601 cites W2016608935 @default.
- W2550389601 cites W2017791169 @default.
- W2550389601 cites W2029995866 @default.
- W2550389601 cites W2030916954 @default.
- W2550389601 cites W2037668034 @default.
- W2550389601 cites W2038885294 @default.
- W2550389601 cites W2043306693 @default.
- W2550389601 cites W2046997730 @default.
- W2550389601 cites W2048370764 @default.
- W2550389601 cites W2050189467 @default.
- W2550389601 cites W2051545900 @default.
- W2550389601 cites W2052376791 @default.
- W2550389601 cites W2053405531 @default.
- W2550389601 cites W2053483403 @default.
- W2550389601 cites W2055991639 @default.
- W2550389601 cites W2058241489 @default.
- W2550389601 cites W2059029763 @default.
- W2550389601 cites W2063390378 @default.
- W2550389601 cites W2063608735 @default.
- W2550389601 cites W2065246942 @default.
- W2550389601 cites W2065392216 @default.
- W2550389601 cites W2067776296 @default.
- W2550389601 cites W2069137694 @default.
- W2550389601 cites W2069429561 @default.
- W2550389601 cites W2071300976 @default.
- W2550389601 cites W2072169887 @default.
- W2550389601 cites W2074178102 @default.
- W2550389601 cites W2075430350 @default.
- W2550389601 cites W2079501320 @default.
- W2550389601 cites W2081212329 @default.
- W2550389601 cites W2082035330 @default.
- W2550389601 cites W2085601275 @default.
- W2550389601 cites W2086772315 @default.
- W2550389601 cites W2087309226 @default.
- W2550389601 cites W2088173642 @default.
- W2550389601 cites W2089484716 @default.
- W2550389601 cites W2091180152 @default.
- W2550389601 cites W2091797506 @default.
- W2550389601 cites W2092379933 @default.
- W2550389601 cites W2101998432 @default.
- W2550389601 cites W2116251091 @default.
- W2550389601 cites W2118942461 @default.
- W2550389601 cites W2125185478 @default.
- W2550389601 cites W2125474556 @default.
- W2550389601 cites W2127498532 @default.
- W2550389601 cites W2135789104 @default.
- W2550389601 cites W2136999619 @default.
- W2550389601 cites W2138689104 @default.
- W2550389601 cites W2152824262 @default.
- W2550389601 cites W2156489037 @default.
- W2550389601 cites W2158266063 @default.
- W2550389601 cites W2160100611 @default.
- W2550389601 cites W2162021827 @default.
- W2550389601 cites W2162469599 @default.
- W2550389601 cites W2163229341 @default.
- W2550389601 cites W3106384737 @default.
- W2550389601 cites W3106413894 @default.
- W2550389601 cites W4238654087 @default.
- W2550389601 cites W4245208499 @default.
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- W2550389601 doi "https://doi.org/10.1016/j.ijar.2016.11.008" @default.
- W2550389601 hasPublicationYear "2017" @default.
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