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stat.AP2013
Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
Dimitris Rizopoulos, Laura A. Hatfield, Bradley P. Carlin +1
The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in the recent years. More recently, a new an…
stat.AP2011★ 61 cited
Bayesian semiparametric inference for multivariate doubly-interval-censored data
Alejandro Jara, Emmanuel Lesaffre, Maria De Iorio +1
Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a funct…
stat.AP2008★ 145 cited
On spatial extremes: with application to a rainfall problem
T. A. Buishand, L. de Haan, C. Zhou
We consider daily rainfall observations at 32 stations in the province of North Holland (the Netherlands) during 30 years. Let be the total rainfall in this area on one day. An…