๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

John F. Geweke (2005): Contemporary Bayesian econometrics and statistics (Wiley series in probability and statistics)

โœ Scribed by Wolfgang Polasek


Book ID
106045276
Publisher
Springer-Verlag
Year
2007
Tongue
English
Weight
65 KB
Volume
49
Category
Article
ISSN
0932-5026

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


[Wiley Series in Probability and Statist
โœ Rossi, Peter E.; Allenby, Greg M.; McCulloch, Robert ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 811 KB

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new p

[Wiley Series in Probability and Statist
โœ Rossi, Peter E.; Allenby, Greg M.; McCulloch, Robert ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 341 KB ๐Ÿ‘ 2 views

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new p

[Wiley Series in Probability and Statist
โœ Rossi, Peter E.; Allenby, Greg M.; McCulloch, Robert ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 131 KB ๐Ÿ‘ 2 views

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new p

[Wiley Series in Probability and Statist
โœ Rossi, Peter E.; Allenby, Greg M.; McCulloch, Robert ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 109 KB ๐Ÿ‘ 2 views

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new p