Finite Mixture, Zero-inflated Poisson and Hurdle models with application to SIDS

By M. Dalrymple, Irene Lena Hudson, R. Ford. 2003

115 citations recorded by the source corpus.

Subfields: Endocrine and Autonomic Systems, General Health Professions, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Dankmar Böhning
2. Wilfried Seidel
3. A. O’Malley
4. Brian H Neelon
5. Sharon-Lise T. Normand
6. Mi-Ja Woo
7. S. Brittain
8. Marco Alfò

Citations in the corpus

• A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use (2010, background): “Roeder et al. (1999), Dalrymple et al. (2003) and Min and Agresti (2005) have developed finite mixture zero-inflated models that allow for clustering of subjects based on their latent response trajectories.”
• Editorial: recent developments in mixture models (2003, background): “Models of this kind are considered in Dalrymple et al., 2003(SI), Lambert (1992), B ohning (1998); see also Mooney et al., 2003( SI) for modeling count data in their time dependency.”