Bayesian dynamic modeling of latent trait distributions

Latent Trait and Latent Class Models

✍ Rolf Langeheine, Jürgen Rost (auth.), Rolf Langeheine, Jürgen Rost (eds.) 📂 Library 📅 1988 🏛 Springer US 🌐 English

<p>This volume is based on an international conference held at the Institute for Science Education (IPN) in Kiel in August 1985. The IPN is a national research institute for science education of the Federal Republic of Germany associated with the University of Kiel. The aim of this conference-to tre

Bayesian forecasting and dynamic models

📁 Bayesian forecasting and dynamic models

✍ Mike West, Jeff Harrison 📂 Library 📅 1997 🏛 Springer 🌐 English

The second edition of this book includes revised, updated, and additional material on the structure, theory, and application of classes of dynamic models in Bayesian time series analysis and forecasting. In addition to wide ranging updates to central material in the first edition, the second edition

Bayesian Forecasting and Dynamic Models

📁 Bayesian Forecasting and Dynamic Models

✍ Mike West, Jeff Harrison (auth.) 📂 Library 📅 1989 🏛 Springer New York 🌐 English

Bayesian Forecasting and Dynamic Models

📁 Bayesian Forecasting and Dynamic Models

✍ West M., Harrison J. 📂 Library 📅 1997 🌐 English

Bayesian Forecasting and Dynamic Models

📁 Bayesian Forecasting and Dynamic Models

✍ Mike West, Jeff Harrison 📂 Library 📅 1997 🏛 Springer 🌐 English

The second edition of this book includes revised, updated, and additional material on the structure, theory, and application of classes of dynamic models in Bayesian time series analysis and forecasting. In addition to wide ranging updates to central material in the first edition, the second edition

Bayesian Forecasting and Dynamic Models

📁 Bayesian Forecasting and Dynamic Models

✍ Shai Ben David, John Case, Akira Maruoka 📂 Library 📅 1997 🏛 Springer 🌐 English

The second edition of this book includes revised, updated, and additional material on the structure, theory, and application of classes of dynamic models in Bayesian time series analysis and forecasting. In addition to wide ranging updates to central material in the first edition, the second edition