Bayesian Robustness for Multivariate Problems

2002 ◽  
pp. 161-168
Author(s):  
Thomas Brendan Murphy
Keyword(s):  
Bayesian Robustness ◽  
Multivariate Problems

Bayesian Robustness of the Posterior Predictivep-Value

2003 ◽  
Vol 32 (8) ◽  
pp. 1493-1503 ◽  
Author(s):  
Julian de la Horra ◽  
Maria Teresa Rodriguez-Bernal
Keyword(s):  
Bayesian Robustness

Bayesian robustness of the empirical distribution

Test ◽  
1994 ◽  
Vol 3 (1) ◽  
pp. 183-194
Author(s):  
Alfonso García-Pérez
Keyword(s):  
Empirical Distribution ◽  
Bayesian Robustness

Bayesian Robustness

2000 ◽  
pp. 1-32 ◽  
Author(s):  
James O. Berger ◽  
David Ríos Insua ◽  
Fabrizio Ruggeri
Keyword(s):  
Bayesian Robustness

Tractability of Multivariate Problems

10.4171/116 ◽  
2012 ◽  
Author(s):  
Erich Novak ◽  
Henryk Woźniakowski
Keyword(s):  
Multivariate Problems

Computer Assistance in Food Analysis

1986 ◽  
Vol 69 (5) ◽  
pp. 754-756
Author(s):  
Laurence R Dusold ◽  
John A G Roach
Keyword(s):  
Pattern Recognition ◽  
Information System ◽  
Laboratory Data ◽  
Chemical Information ◽  
Laboratory Computer ◽  
Food Adulteration ◽  
Pattern Recognition Techniques ◽  
Computer Assistance ◽  
Multivariate Problems ◽  
Chemical Information System

Abstract Laboratory computer links are a key part of acquisition, movement, and interpretation of certain types of data. Remote information retrieval from databases such as the Chemical Information System provides the analyst with structural and toxicologicai information via a laboratory terminal. Remote processing of laboratory data by large computers permits the application of pattern recognition techniques to the solution of complex multivariate problems such as the detection of food adulteration.

scholarly journals Bayesian robustness modeling using regularly varying distributions

2006 ◽  
Vol 1 (1) ◽  
pp. 169-188 ◽  
Author(s):  
J. A. A. Andrade ◽  
A. O'Hagan
Keyword(s):  
Bayesian Robustness ◽  
Regularly Varying
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