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~isPartOf:"Journal of the American Statistical Association : JASA"
~person:"Boys, Richard J."
~person:"Ghosh, Malay"
~person:"Ibrahim, Joseph George"
~subject:"Bayesian inference"
~subject:"Prognoseverfahren"
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Bayesian inference
Prognoseverfahren
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Boys, Richard J.
Ghosh, Malay
Ibrahim, Joseph George
Dunson, David B.
7
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3
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2
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Journal of the American Statistical Association : JASA
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Bayesian emulation and calibration of a stochastic computer model of mitochondrial DNA deletions in substantia nigra neurons
Henderson, Daniel A.
;
Boys, Richard J.
;
Krishnan, Kim J.
; …
- In:
Journal of the American Statistical Association : JASA
104
(
2009
)
485
,
pp. 76-87
Persistent link: https://www.econbiz.de/10003878155
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2
Current methods for recurrent events data with dependent termination : a Bayesian perspective
Sinha, Debajyoti
;
Maiti, Tapabrata
;
Ibrahim, Joseph George
- In:
Journal of the American Statistical Association : JASA
103
(
2008
)
482
,
pp. 866-878
Persistent link: https://www.econbiz.de/10003752202
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3
Bayesian model averaging with applications to benchmark dose estimation for arsenic in drinking water
Morales, Knashawn H.
;
Ibrahim, Joseph George
;
Chen, …
- In:
Journal of the American Statistical Association : JASA
101
(
2006
),
pp. 9-17
Persistent link: https://www.econbiz.de/10003309024
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4
Semiparametric Bayesian analysis of matched case-control studies with missing exposure
Sinha, Samiran
;
Mukherjee, Bhramar
;
Ghosh, Malay
; …
- In:
Journal of the American Statistical Association : JASA
100
(
2005
)
470
,
pp. 591-601
Persistent link: https://www.econbiz.de/10002929760
Saved in:
5
Hierarchical Bayesian neural networks : an application to a prostate cancer study
Ghosh, Malay
;
Maiti, Tapabrata
;
Kim, Dalho
; …
- In:
Journal of the American Statistical Association : JASA
99
(
2004
)
467
,
pp. 601-608
Persistent link: https://www.econbiz.de/10002241603
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