MCMC methods to approximate conditional predictive distributionsBAYARRI, M. J; CASTELLANOS, M. E; MORALES, J et al.Computational statistics & data analysis. 2006, Vol 51, Num 2, pp 621-640, issn 0167-9473, 20 p.Article

Bayesian measures of surprise for outlier detectionBAYARRI, M. J; MORALES, J.Journal of statistical planning and inference. 2003, Vol 111, Num 1-2, pp 3-22, issn 0378-3758, 20 p.Article

Bayesian analysis and design for comparison of effect-sizesBAYARRI, M. J; MAYORAL, A. M.Journal of statistical planning and inference. 2002, Vol 103, Num 1-2, pp 225-243, issn 0378-3758, 19 p.Article

Optimal reporting of predictionsBAYARRI, M. J; DEGROOT, M. H.Journal of the American Statistical Association. 1989, Vol 84, Num 405, pp 214-222, issn 0162-1459, 9 p.Article

Special Issue on Computer ModelingBAYARRI, M. J; BERGER, Jim; STEINBERG, David M et al.Technometrics. 2009, Vol 51, Num 4, issn 0040-1706, 123 p.Serial Issue

Extending conventional priors for testing general hypotheses in linear modelsBAYARRI, M. J; GARCIA-DONATO, Gonzalo.Biometrika. 2007, Vol 94, Num 1, pp 135-152, issn 0006-3444, 18 p.Article

Generalization of Jeffreys divergence-based priors for Bayesian hypothesis testingBAYARRI, M. J; GARCIA-DONATO, G.Journal of the Royal Statistical Society. Series B, statistical methodology. 2008, Vol 70, pp 981-1003, issn 1369-7412, 23 p., 5Article

What Bayesians expect of each otherBAYARRI, M. J; DEGROOT, M. H.Journal of the American Statistical Association. 1991, Vol 86, Num 416, pp 924-932, issn 0162-1459Article

A bayesian sequential look at u-control chartsBAYARRI, M. J; GARCIA-DONATO, G.Technometrics. 2005, Vol 47, Num 2, pp 142-151, issn 0040-1706, 10 p.Article

Statistical inverse analysis for a network microsimulatorMOLINA, German; BAYARRI, M. J; BERGER, James O et al.Technometrics. 2005, Vol 47, Num 4, pp 388-398, issn 0040-1706, 11 p.Article

Predicting Vehicle Crashworthiness: Validation of Computer Models for Functional and Hierarchical DataBAYARRI, M. J; BERGER, James O; KENNEDY, Marc C et al.Journal of the American Statistical Association. 2009, Vol 104, Num 487, pp 929-943, issn 0162-1459, 15 p.Article

Using Statistical and Computer Models to Quantify Volcanic HazardsBAYARRI, M. J; CALDER, Eliza S; LUNAGOMEZ, Simon et al.Technometrics. 2009, Vol 51, Num 4, pp 402-413, issn 0040-1706, 12 p.Article

COMPUTER MODEL VALIDATION WITH FUNCTIONAL OUTPUTBAYARRI, M. J; BERGER, J. O; CAFEO, J et al.Annals of statistics. 2007, Vol 35, Num 5, pp 1874-1906, issn 0090-5364, 33 p.Article

Calibration of p values for testing precise null hypothesesSELLKE, Thomas; BAYARRI, M. J; BERGER, James O et al.The American statistician. 2001, Vol 55, Num 1, pp 62-71, issn 0003-1305Conference Paper

Influence of light intensity, spectrum and orientation on sea bass plasma and ocular melatoninBAYARRI, M. J; MADRID, J. A; SANCHEZ-VAZQUEZ, F. J et al.Journal of pineal research. 2002, Vol 32, Num 1, pp 34-40, issn 0742-3098Article

Expert Knowledge and Multivariate Emulation: The Thermosphere-lonosphere Electrodynamics General Circulation Model (TIE-GCM)ROUGIER, Jonathan; MAUTE, Astrid; GUILLAS, Serge et al.Technometrics. 2009, Vol 51, Num 4, pp 414-424, issn 0040-1706, 11 p.Article

Assessing uncertainties in traffic simulation: A key component in model calibration and validationBAYARRI, M. J; BERGER, James O; MOLINA, German et al.Transportation research record. 2004, Num 1876, pp 32-40, issn 0361-1981, 9 p.Article

Choosing the Sample Size of a Computer Experiment: A Practical GuideLOEPPKY, Jason L; SACKS, Jerome; WELCH, William J et al.Technometrics. 2009, Vol 51, Num 4, pp 366-376, issn 0040-1706, 11 p.Article

A Bayesian analysis of the thermal challenge problemLIU, F; BAYARRI, M. J; BERGER, J. O et al.Computer methods in applied mechanics and engineering. 2008, Vol 197, Num 29-32, pp 2457-2466, issn 0045-7825, 10 p.Conference Paper

Binding characteristics and daily rhythms of melatonin receptors are distinct in the retina and the brain areas of the European sea bass retina (Dicentrarchus labrax)BAYARRI, M. J; IIGO, M; MUNOZ-CUETO, J. A et al.Brain research. 2004, Vol 1029, Num 2, pp 241-250, issn 0006-8993, 10 p.Article

Luteinizing hormone and sexual steroid plasma levels after treatment of European sea bass with sustained-release delivery systems for gonadotropin-releasing hormone analogueMANANOS, E; CARRILLO, M; SORBERA, L. A et al.Journal of fish biology. 2002, Vol 60, Num 2, pp 328-339, issn 0022-1112Article

Assessing and propagating uncertainty in model inputs in CORSIMMOLINA, G; BAYARRI, M. J; BERGER, J. O et al.International symposium on sensitivity analysis of model output. 2001, isbn 84-7834-408-X, p. 323Conference Paper

Effect of daily thermo- and photo-cycles of different light spectrum on the development of Senegal sole (Solea senegalensis) larvaeBLANCO-VIVES, B; VILLAMIZAR, N; RAMOS, J et al.Aquaculture (Amsterdam). 2010, Vol 306, Num 1-4, pp 137-145, issn 0044-8486, 9 p.Article

Bayesian Guided Pattern Search for Robust Local OptimizationTADDY, Matthew A; LEE, Herbert K. H; GRAY, Genetha A et al.Technometrics. 2009, Vol 51, Num 4, pp 389-401, issn 0040-1706, 13 p.Article

Diagnostics for Gaussian Process EmulatorsBASTOS, Leonardo S; O'HAGAN, Anthony.Technometrics. 2009, Vol 51, Num 4, pp 425-438, issn 0040-1706, 14 p.Article