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Bayesian measures of model complexity and fit

Spiegelhalter, David J.; Best, Nicola G.; Carlin, Bradley P. - In: Journal of the Royal Statistical Society Series B 64 (2002) 4, pp. 583-639

We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined. Using an information theoretic argument we derive a measure "p"<sub>"D"</sub> for the effective number of parameters in a model as the difference between the posterior mean of the...

Persistent link: https://www.econbiz.de/10005658865

Commissioned analysis of surgical performance using routine data: lessons from the Bristol inquiry

Spiegelhalter, David J.; Aylin, Paul; Best, Nicola G.; … - In: Journal of the Royal Statistical Society Series A 165 (2002) 2, pp. 191-221

Persistent link: https://www.econbiz.de/10005682513

DIC in variable selection

Linde, Angelika - In: Statistica Neerlandica 59 (2005) 1, pp. 45-56

Persistent link: https://www.econbiz.de/10005312996

A Bayesian latent variable approach to functional principal components analysis with binary and count data

Linde, Angelika - In: AStA Advances in Statistical Analysis 93 (2009) 3, pp. 307-333

Persistent link: https://www.econbiz.de/10005014993

Applications and Case Studies - Spatial Poisson Regression for Health and Exposure Data Measured at Disparate Resolutions

Best, Nicola G.; Ickstadt, Katia; Wolpert, Robert L. - In: Journal of the American Statistical Association : JASA 95 (2000) 452, pp. 1076-1088

Persistent link: https://www.econbiz.de/10006622361

Dynamic Conditional Independence Models and Markov Chain Monte Carlo Methods

Berzuini, Carlo; Best, Nicola G.; Gilks, Walter R.; … - In: Journal of the American Statistical Association : JASA 92 (1997) 440, pp. 1403-1412

Persistent link: https://www.econbiz.de/10006629790

A Bayesian latent variable approach to functional principal components analysis with binary and count data

Linde, Angelika - In: Wirtschafts- und sozialstatistisches Archiv : ASTA ; … 93 (2009) 3, pp. 307-334

Persistent link: https://www.econbiz.de/10008352244

DIC in variable selection

Linde, Angelika - In: Statistica Neerlandica : journal of the Netherlands … 59 (2005) 1, pp. 45-56

Persistent link: https://www.econbiz.de/10006426463

On the association between a random parameter and an observable

Linde, Angelika - In: TEST: An Official Journal of the Spanish Society of … 13 (2004) 1, pp. 85-111

Persistent link: https://www.econbiz.de/10005390545

A shared component model for detecting joint and selective clustering of two diseases

Knorr-Held, Leonhard; Best, Nicola G. - In: Journal of the Royal Statistical Society Series A 164 (2001) 1, pp. 73-85

Persistent link: https://www.econbiz.de/10005276883