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Sparse Ising Models with Covariates
Graphical model Lasso Ising model Binary Markov network covariates
2012/11/23
There has been a lot of work fitting Ising models to multivariate binary data in order to understand the conditional dependency relationships between the variables. However, additional covariates are ...
People born in the Middle East but residing in the Netherlands: Invariant population size estimates and the role of active and passive covariates
Population size estimation capture-Crecapture collapsbility multiple record-systems estimation missing data structural zeros
2012/11/23
Including covariates in loglinear models of population registers improves population size estimates for two reasons. First, it is possible to take heterogeneity of inclusion probabilities over the lev...
Predicting Sequences of Progressive Events Times with Time-dependent Covariates
Sequences Progressive Events Times Time-dependent Covariates
2010/12/15
This paper presents an approach to modeling progressive event-history data when the overall objective is prediction based on time-dependent covariates.This approach does not model the hazard function ...