Bayesian Computation with R

✍ Jim Albert 📂 Library 📅 2008 🏛 Springer, Berlin 🌐 English

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for s

📁 Bayesian Computation with R

✍ Jim Albert (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag New York 🌐 English

Bayesian Computation with R

📁 Bayesian Computation with R

✍ Jim Albert (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag New York 🌐 English

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R fo

Bayesian Computation with R

📁 Bayesian Computation with R

✍ Jim Albert (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag New York 🌐 English

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R fo

Bayesian Computation with R

📁 Bayesian Computation with R

✍ Professor Jim Albert (eds.) 📂 Library 📅 2007 🏛 Springer New York 🌐 English

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for s

Bayesian computation with R

📁 Bayesian computation with R

✍ Albert Jim 📂 Library 📅 2007 🏛 Springer 🌐 English

Bayesian Computation with R

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