✦ LIBER ✦

Exact Bayesian Prediction in a Class of Markov-switching Models

✍ Scribed by Noémie Bardel; François Desbouvries

Publisher: Springer US
Year: 2010
Tongue: English
Weight: 329 KB
Volume: 14
Category: Article
ISSN: 1387-5841
DOI: 10.1007/s11009-010-9189-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Bayesian prediction based on a class of

Bayesian prediction based on a class of shrinkage priors for location-scale models

✍ Fumiyasu Komaki 📂 Article 📅 2007 🏛 Springer Japan 🌐 English ⚖ 194 KB

Exact Connections between Current Fluctu

Exact Connections between Current Fluctuations and the Second Class Particle in a Class of Deposition Models

✍ Márton Balázs; Timo Seppäläinen 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 296 KB

Usefulness of Bayesian graphical models

Usefulness of Bayesian graphical models for early prediction of disease progression in multiple sclerosis

✍ R. Bergamaschi; A. Romani; S. Tonietti; A. Citterio; C. Berzuini; V. Cosi 📂 Article 📅 2000 🏛 Springer Milan 🌐 English ⚖ 81 KB

Evaluation of a Published in silico Mode

Evaluation of a Published in silico Model and Construction of a Novel Bayesian Model for Predicting Phospholipidosis Inducing Potential.

✍ Dennis J. Pelletier; Daniel Gehlhaar; Anne Tilloy-Ellul; Theodore O. Johnson; Ni 📂 Article 📅 2007 🏛 John Wiley and Sons ⚖ 18 KB 👁 1 views

Description and prediction of physical f

Description and prediction of physical functional disability in psoriatic arthritis: A longitudinal analysis using a Markov model approach

✍ Husted, Janice A. ;Tom, Brian D. ;Farewell, Vernon T. ;Schentag, Catherine T. ;G 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 75 KB 👁 1 views

A Markov model for HIV disease progressi

A Markov model for HIV disease progression including the effect of HIV diagnosis and treatment: Application to AIDS prediction in England and Wales

✍ Odd O. Aalen; Vernon T. Farewell; Daniela de Angelis; Nicholas E. Day; O. Nöel G 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 206 KB 👁 2 views

Back-calculation is a widely used method to estimate HIV incidence rates, and is commonly based on times of AIDS diagnosis. Following up earlier work, we extend this method to also incorporate knowledge of times of HIV diagnosis (first positive test). This is achieved through the use of a Markov mod