✦ LIBER ✦

Semiparametric inference in generalized mixed effects models

✍ Scribed by María José Lombardía; Stefan Sperlich

Book ID: 111039023
Publisher: Blackwell Publishing
Year: 2008
Tongue: English
Weight: 803 KB
Volume: 70
Category: Article
ISSN: 0952-8385
DOI: 10.1111/j.1467-9868.2008.00655.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Bayesian Inference in Semiparametric Mix

Bayesian Inference in Semiparametric Mixed Models for Longitudinal Data

✍ Yisheng Li; Xihong Lin; Peter Müller 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 195 KB

Statistical inference in generalized lin

Statistical inference in generalized linear mixed models: A review

✍ Francis Tuerlinckx; Frank Rijmen; Geert Verbeke; Paul De Boeck 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 333 KB

Likelihood inference in generalized line

Likelihood inference in generalized linear mixed measurement error models

✍ Mahmoud Torabi 📂 Article 📅 2013 🏛 Elsevier Science 🌐 English ⚖ 285 KB

Restricted likelihood inference for gene

Restricted likelihood inference for generalized linear mixed models

✍ Ruggero Bellio; Alessandra R. Brazzale 📂 Article 📅 2009 🏛 Springer US 🌐 English ⚖ 398 KB

Semiparametric Inference Methods for Gen

Semiparametric Inference Methods for General Time Scale Models

✍ Thierry Duchesne; Jerry Lawless 📂 Article 📅 2002 🏛 Springer 🌐 English ⚖ 135 KB

Semiparametric Bayesian inference in mul

Semiparametric Bayesian inference in multiple equation models

✍ Professor Gary Koop; Dale J. Poirier; Justin Tobias 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 216 KB

## Abstract This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components. The approach treats the points on each nonparamet