Past Present and Future of Statistical Science
Conditioning is the issue
Publication
, Chapter
Berger, JO
January 1, 2014
The importance of conditioning in statistics and its implementation are highlighted through the series of examples that most strongly affected my understanding of the issue. The examples range from “oldies but goodies” to new examples that illustrate the importance of thinking conditionally in modern statistical developments. The enormous potential impact of improved handling of conditioning is also illustrated.
Duke Scholars
Citation
APA
Chicago
ICMJE
MLA
NLM
Berger, J. O. (2014). Conditioning is the issue. In Past Present and Future of Statistical Science (pp. 253–266). https://doi.org/10.1201/b16720-28
Berger, J. O. “Conditioning is the issue.” In Past Present and Future of Statistical Science, 253–66, 2014. https://doi.org/10.1201/b16720-28.
Berger JO. Conditioning is the issue. In: Past Present and Future of Statistical Science. 2014. p. 253–66.
Berger, J. O. “Conditioning is the issue.” Past Present and Future of Statistical Science, 2014, pp. 253–66. Scopus, doi:10.1201/b16720-28.
Berger JO. Conditioning is the issue. Past Present and Future of Statistical Science. 2014. p. 253–266.