Conditionally Specified Distributions: An Introduction (with comments and a rejoinder by the authors)

By Barry C. Arnold, Enrique F. Castillo, José María Sarabia. 2001

123 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c63c000fe147b2352bd31aa4d4ebdc8c7caaf762

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In Statistics and Probability

1. Chandra R. Bhat
2. Cristiano Varin
3. David Firth
4. Nancy Reid
5. Gareth Hughes
6. Trivellore E. Raghunathan
7. John T. Kent
8. Kanti V. Mardia

Citations in the corpus

• AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS (2011, background): “This issue is pursued in Wang and Ip (2008), where the key notion of interactions is defined, and their role in ensuring the compatibility of conditional and joint distributions is emphasized; see also Arnold, Castillo, and Sarabia (2001).”
• Convergence Properties of a Sequential Regression Multiple Imputation Algorithm (2015, background): “Arnold, Castillo, and Sarabia (2001) gave a thorough introduction to the problem in general, and Gelman and Raghunathan (2001) joined the discussion regarding the effect of incompatible conditionally specified models in missing data analysis.”
• Maximum likelihood estimation using composite likelihoods for closed exponential families (2009, background): “Arnold & Strauss (1991b) and Arnold et al. (2001) investigated the construction of joint distributions given the conditionals and discussed various properties of such distributions.”