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  • Search: subject:"Retrospective sampling"
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Retrospective sampling 3 Block Gibbs sampler 1 Conditional independence 1 Copy number variation 1 Doubly-truncated 1 Local and global clustering 1 Longitudinal 1 Partial exchangeability 1 Partition models 1 Semiparametric model 1 Social network 1 Sociocentric design 1 Sparse data 1 Two-sample tests 1 Weighting 1
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Undetermined 2 Free 1
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Article 3
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Undetermined 3
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Holmes, C. 1 O’Malley, A. James 1 Papaspiliopoulos, O. 1 Paul, Sudeshna 1 Roberts, G. O. 1 Shen, Pao-Sheng 1 Yau, C. 1
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Computational Statistics & Data Analysis 1 Journal of the Royal Statistical Society Series B 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
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RePEc 3
Showing 1 - 3 of 3
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Bayesian non‐parametric hidden Markov models with applications in genomics
Yau, C.; Papaspiliopoulos, O.; Roberts, G. O.; Holmes, C. - In: Journal of the Royal Statistical Society Series B 73 (2011) 1, pp. 37-57
Persistent link: https://www.econbiz.de/10008783792
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Using retrospective sampling to estimate models of relationship status in large longitudinal social networks
O’Malley, A. James; Paul, Sudeshna - In: Computational Statistics & Data Analysis 82 (2015) C, pp. 35-46
Estimation of longitudinal models of relationship status between all pairs of individuals (dyads) in social networks is challenging due to the complex inter-dependencies among observations and lengthy computation times. To reduce the computational burden of model estimation, a method is...
Persistent link: https://www.econbiz.de/10011117716
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A class of rank-based tests for doubly-truncated data
Shen, Pao-Sheng - In: TEST: An Official Journal of the Spanish Society of … 22 (2013) 1, pp. 83-102
A class of rank-based tests is proposed for the two-sample problem with doubly-truncated data. We consider both nonparametric and semiparametric approaches, where the truncation distribution is parameterized, while the lifetime distribution is left unspecified. The asymptotic distribution theory...
Persistent link: https://www.econbiz.de/10010994243
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