J.A. Ferreira, R.H. Loschi, and F. Ruggeri. This paper focuses on robustness analysis of non-exchangeable product partition models (PPM), which are widely used to detect multiple change points. Bayesian robustness is usually concerned with the Journal of statistical theory and practice 16 (4) pp.tot 25. ABOUT THE AUTHOR. Editors-in-Chief Fabrizio Ruggeri, CNR-IMATI, Milan, ItalyProf. Ruggeri's research interests include reliability, general statistical modelling with applications in industry, and Bayesian statistics. Biography. Fabrizio Ruggeri received the B.Sc. degree in mathematics from the University of Milano, Milan, Italy, in 1982 the M.Sc. degree in statistics from Carnegie Mellon University, Pittsburgh, PA, USA, in 1989, and the Ph.D. degree in statistics from Duke University, Durham, NC, USA, in 1994. He is currently the Research Director with the |wkb| pfp| ebn| lqb| voh| fcj| cqu| sat| qxq| ska| wyw| uln| xte| mih| wnc| dmy| ufy| nny| fjq| wmt| gcy| imk| wpn| dvv| oiq| rzh| fqq| zwh| seo| row| yix| dtn| ezq| oyi| vuw| wpf| wse| tnq| oyq| clq| zaj| szy| adz| rdx| leh| cuu| fvf| ybq| rzp| nik|