1.
Goodness-of-fit based on measures of surprise
M.E. Castellanos Nueda, Universidad Miguel Hernàndez, me.castella@umh.es
(with M.J. Bayarri)
2.
On goodness of fit for time series models
Cathy W S Chen, Taiwan, chenws@fcu.edu.tw
3.
Satisfying comonotonic book-making with non-additive probabilities
Enrico Diecidue, Tilburg University, e.diecidue@kub.nl
(with Peter Wakker)
4.
Introduction to Bayesian methods for inventory models
Emre Berk, Bilkent University, eberk@Bilkent.edu.tr
5.
The use of Bayes' factors for flood protection policy
E.H. Chbab, h.chbab@riza.rws.minvenw.nl
(with J.M. van Noortwijk, M.T. Duits, and P.H.A.J.M. van Gelder)
6.
Stochastic optimisation for cost-effective Bayesian quality assessment in health
Dimitris Fouskakis, University of Bath, d.draper@maths.bath.ac.uk
(with David Draper)
7.
Comparisons of methods for constructing Bayesian trees
Blaise Egan, Goldsmiths College, blaise.egan@bt.com
(with L Pettit)
8.
Multiresolution autoregressions and Markov random fields
Marco Ferreira, Duke University, marco@stat.duke.edu
(with Herbie Lee, David Higdon and Mike West)
9.
Bayesian mixture modeling with an unknown number of components
Rainer Fischer, Max-Planck-Institut fuer Plasmaphysik, Rainer.Fischer@ipp.mpg.de
10.
Bayesian cost-effectiveness analysis for setting medical treatment policy
Dennis G. Fryback, University of Wisconsin-Madison, dfryback@facstaff.wisc.edu
11.
Bayesian semi-parametric modelling for improved "league-table" quality monitoring in health and education
Mark Gittoes, University of Bath, d.draper@maths.bath.ac.uk
(with David Draper)
12.
Local approaches to Bayesian model building
James Griffin, NCR Knowledge Lab., james.griffin@ncr.com
(with Clive Hoggart)
13.
Applying Bayesian methodology to the single period inventory model
Ulku Gurler, Bilkent University, ulku@Bilkent.edu.tr
14.
Title TBA
Nick Heard, NCR Knowledge Lab., nh162000@exchange.UnitedKingdom.NCR.COM
15.
Criteria for some multivariate tests of homogeneity with applications in multisample clustering
Helena Jelenkowska, University of Agriculture Poland, jelen@ursus.ar.lublin.pl
16.
Multivariate autoregressions and decompositions with model order uncertainty
Gabriel Huerta, CIMAT, Mexico, ghuerta@spin.com.mx
(with Raquel Prado)

17.
A non-parametric method for long-term forecasting of interest rates
Vladimir Ladyzhets, Ernst & Young, Vlad.Ladyzhets@ey.com
18.
Optimal problems in credibility
Zinoviy Landsman, University of Haifa, landsman@stat.haifa.ac.il
(with U. Makov)
19.
An (S, s) Inventory model with Bayesian updating of the demand distribution
Richard Levine, University of California at Davis, ralevine@ucdavis.edu
20.
Multidimensional item response model: A Bayesian approach
Michalis Linardakis, Athens University of Economics and Business, michalis@aueb.gr
(with P. Dellaportas)
21.
Bayesian analysis of multivariate futures in commodity markets
Viridiana Lourdes, Duke University, vl@stat.duke.edu
(with Mike West and James Smith)
22.
Estimating heritability of twin data by incorporating historical information:
Variance components approach
Amita K Manatunga, Emory University, amanatu@sph.emory.edu
(with Ming-Hui Chen and Chris Williams)
23.
Bayesian dynamic modelling of stock-recruitment relationships
Renate Meyer, University of Auckland, meyer@stat.auckland.ac.nz
24.
Delaying rejection in reversible jump Metropolis-Hastings
Antonietta Mira, University of Pavia, anto@ipvaim.unipv.it
(with P.J. Green and L. Tierney)
25.
New criteria for outlier identification
J. Morales, Universidad Miguel Hernàndez, j.morales@umh.es
(with M.J. Bayarri)
26.
Inference under partial prior information on observable random variables
Elias Morena, University of Granada, emoreno@goliat.ugr.es
27.
Bayesian inference on regional processes of infants and child undernoutrition and mortality in Africa
Kandala Ngianga-Bakwin, University of Munich, kandala@stat.uni-muenchen.de
28.
Bayesian inference using MCMC for diffusion models where the volatility is a shotnoise stochastic process
Omiros Papaspiliopoulos, University of Lancaster, o.papaspiliopoulos@lancaster.ac.uk
(with Gareth Roberts)
29.
Classical and Bayesian methods in meta-analysis
George Petrakos, Liaison, Greece, George.Petrakos@liaison.gr
30.
Analysis and classification of ECG signals via hierarchical mixture priors on wavelet based models
Raquel Prado, Universidad Simón Bolívar, raquel@cesma.usb.ve
(with Irene Garcia and Pedro Gomis)
31.
Randomized Polya trees
Susan Paddock, RAND Corp., susan@stat.duke.edu
(with Mike West and Fabrizio Ruggeri)
32.
TBA
Wolfgang Polasek, University of Basel, wolfgang@iso.iso.unibas.ch
(with A. Gelfand and S. Banejeree)

33.
Bayesian estimation of joint survival functions in life insurance
Arkady Shemyakin, University of St.Thomas, a9shemyakin@stthomas.edu
(with H Youn)
34.
Using Bayesian analysis to estimate turkey hunter success rates spatially
Steven L Sheriff, Missouri Department of Conservation, sheris@mail.conservation.state.mo.us
(with D Sun, Z He and R Woodard)
35.
Bayesian analysis of nonhomogeneous Markov chains
Refik Soyer, George Washington University, soyer@gwis2.circ.gwu.edu
(with Minje Sung)
36.
Predicting transaction behaviour using sequence alignment and local regression
Francesco Vivarelli, NCR Knowledge Lab., francesco.vivarelli@ncr.com
37.
Inferences on health care indicators for the treatment of HIV/AIDS
David Walshaw, University of Newcastle, David.Walshaw@ncl.ac.uk
(with Karl Heiner)
38.
Bayesian approach in pharmacokinetics models
Patricia K. Ziegelmann, University of Kent at Canterbury, pkz2@ukc.ac.uk
(with Phil Brown)

1.
Robust Bayesian decision theory applied in medicine
Christophe Abraham, ENSAM INRA, abraham@helios.ensam.inra.fr
2.
A Bayesian approach for accelerated life tests using length-biased inverse Gaussian distribution
Olcay Akman, Coastal Carolina University, akmano@ccucs.coastal.edu
(with Prashant Sansgiry)
3.
A particle filter approach to non-stationary phases, frequencies and amplitudes of harmonic processes
Christophe Andrieu, University of Cambridge, ca226@eng.cam.ac.uk
(with A. Doucet)
4.
Bayesian methods in spectral analysis of dynamic PET neuroreceptor ligand studies
John Aston, McGill University, jaston@bic.mni.mcgill.ca
5.
Minimax estimation of a bounded parameter for LINEX loss function
Agata Boratynska, University of Warsaw, agatab@mimuw.edu.pl
6.
Dynamic evaluation of liver transplantation programs in France
Y Chalem, Etablissement Francais des Greffes, ych@biomath.jussieu.fr
(with J L Golmard)
7.
Probabilistic inversion for obtaining priors: Applications from recent risk analyses
Roger Cooke, Delft University of Technology, roger@dutiosa.twi.tudelft.nl
(with B. Kraan and J. van Noortwijk)
8.
Simplifying Bayesian networks: An approximation algorithm
M de Orio, Duke University, maria@isds.duke.edu
(with M Lavine)
9.
Sequential Monte Carlo filters for parameter estimation under model uncertainty
Petar Djuric, State University of New York at Stony Brook, djuric@ece.sunysb.edu
10.
Quantifying expert opinion in the UK water industry: an experimental study
Paul Garthwaite, Aberdeen University, p.garthwaite@maths.abdn.ac.uk
11.
Embedding Bayesian tools in commercial software: Computer demos
John Geweke, University of Iowa, jgeweke@blue.weeg.uiowa.edu
(with William McCausland)
12.
Bayesian analysis of nest survival rates
Zhuoqiong (Chong) He, University of Missouri, chong@stat.missouri.edu
(with D Sun and Y Tra)
13.
Cretan immortals: Bayesian survival analysis of long-term survivors using BUGS software
Daphne Kounali, University of Manchester, mdehsdk2@man.ac.uk
(with Anthony Robinson)
14.
Techical efficiency of collective farms: Accounting for labor over-reporting
L. Kurkalova, Iowa State University,
(with Alicia Carriquiry)
15.
Meta-analysis for longitudinal data models using multivariate mixture priors
Hedibert Freitas-Lopes, IM-UFRJ and Duke University, hedibert@stat.duke.edu
(with Peter Mueller and Gary Rosner)

16.
Bayesian modelling and computation for dependent non-Gaussian processes with application in wavelet analysis of texture images
Jane Liu, CDC Investment Management Corp. and Duke University, jane@isds.duke.edu, barbaraliu@netscape.net
17.
Predictive mortality graduation and the value at risk
Manuel Mendoza, ITAM, Mexico, mendoza@gauss.rhon.itam.mx
(with A.M. Madrigal and E. Gutierrez-Peña)
18.
The error-free mean reaction time as a measure of human performance
Carlos Morales, Boston University, carlosm@math.bu.edu
(with Mark E. Glickman)
19.
Likelihood and Bayesian methods in mixed effects logistic models, with application to the evaluation of liver transplantation programs in France
F Mesnil, Etablissement Francais des Greffes, fme@biomath.jussieu.fr
(with J L Golmard)
20.
Measuring value-relevance in stock prices, earnings and cash flows using the Gibbs sampler
Chung-ki Min, Hong Kong Polytechnic University, cmin@maincc.hufs.ac.kr
,
accmin@inet.polyu.edu.hk
(with J.B. Kim and C.H. Yi)
21.
An application of binomial state-space model to a study of the occurrence of respiratory diseases in Danish diary calves
Rodrigo Labouriau, Danish Institute of Agricultural Sciences,
Rodrigo.Labouriau@agrsci.dk
(with Soren Lundbye-Christensen)
22.
Application of state-space models and Monte Carlo methods for analyzing longitudinal data from patients on anticoagulant therapy
Soren Lundbye-Christensen, Aarhus University, s0ren@math.auc.dk
23.
Multiresolution Bayesian approaches to inverse problems
Robert Nowak, Rice University, nowak@rice.edu
24.
Behavior of the posterior in regression with autoregressive errors
J Lynn Palmer, MD Anderson Cancer Center, jlp@odin.mdacc.tmc.edu
(with Dennis Cox, Joaquin Diaz and Isabel Llatas)
25.
Constructing nonparametric priors by mixtures
Sonia Petrone, sonia.petrone@uni-bocconi.it
26.
Bayesian non-parametric approach to multiple imputation
Antonio Pievatolo, CNR-IAMI, marco@iami.mi.cnr.it
(with Marco Di Zio)
27.
Optimizing budget assessment for R&D activities. The experience of the Argentine agency for development of science and technology
Russo, Universidad Nacional de Quilmes, arusso@unq.edu.ar
(with M.L. Russo)
28.
Simulation and monitoring of project cash flow as MCMC
Russo, M.L. Russo and P. Pascual, Universidad Nacional de Quilmes
29.
Optimizing sequential processes in bread making using MCMC
M.L. Russo, P. Martinez, A. Russo and R. Grau, Universidad Nacional de Quilmes

30.
Combining stochastic and dynamic downscaling using a Bayesian approach
Bruno Sansó, Universidad Simón Bolívar, bruno@cesma.usb.ve
(with Lelys Guenni)
31.
Evaluating expected information in structural auction, job search and Roy selection models
Samita Sareen, University of Toronto, ssareen@chass.utoronto.ca
32.
Efficiency estimation of U.S. commercial banking: A stochastic frontier approach using Gibbs sampling
James Sfiridis, Central Connecticut State University, Sfiridis@mail.ccsu.edu
(with Kenneth Daniels)
33.
Bayesian estimation of the variation in time of the weight of the risk factors of the
CML after bone marrow transplantation
M L Tanguy, Societe Francaise des Greffes de Moelle, jlg@biomath.jussieu.fr
(with J L Golmard, M Michallet and J P Vernant)
34.
Bayesian portfolio selection in stochastic volatility models
Kadir Tanyeri, George Washington University, tanyeri@gwis2.circ.gwu.edu
(with Refik Soyer)
35.
Binary regression using Fisher's z Link
Florin Vaida, Harvard School of Public Health, vaida@biostat.harvard.edu
(with Xiao-Li Meng)
36.
Bayesian inference on gradual switching GARCH models: Gibbs sampling approach
Hajime Wago, Niigata University, hwago@fd.catv.ne.jp
37.
Generalized non-parametric mixed effects model
Yuedong Wang, University of California at Santa Barbara, yuedong@pstat.ucsb.edu
(with Peter Karcher)
38.
Spatial and spectral analysis in high energy astrophysics
David van Dyk, Harvard University, vandyk@stat.harvard.edu
(with A. Connors, V.L. Kashyap and A. Siemiginowska)

1.
Where's the utility in Bayesian data-monitoring in clinical trials?
Deborah Ashby, Queen Mary and Westfield College, D.Ashby@mds.qmw.ac.uk
2.
Analysis of incomplete high-dimensional multivariate normal data using a common factor model
Thomas Belin, UCLA, tbelin@mednet.ucla.edu
(with Juwon Song)
3.
Bayesian analysis of the calibration problem under elliptical distributions
H. Bolfarine, Universiade de Sao Paulo, hbolfar@ime.usp.br
(with M. Branco)
4.
Bayesian semiparametric and noparametric modelling approaches for cytogenetic dosimetry
Marcia Branco, Universidade de Sao Paulo, mbranco@ime.usp.br
(with Alan Gelfand and Athanasios Kottas)
5.
Estimation and model selection in asset pricing models
David Chan, University of New South Wales, David.Chan@cmis.CSIRO.AU
(with Robert Kohn)
6.
Image restoration using Kalman filter techniques
Claus Dethlefsen, Aalborg University, dethlef@mailhost.math.auc.dk
7.
Parametric and semi-parametric Bayesian models for accelerated life test
Alaattin Erkanli, Duke University, al@psych.mc.duke.edu
(with Refik Soyer and Jason Merrick)
8.
The Bayesian marginal likelihood in the diffuse Kalman Filter and the general linear model with noninformative priors
Marc K. Francke, Free University of Amsterdam, FranckeM@gba.amsterdam.nl
(with Aart F. de Vos)
9.
On multivariate stochastic volatility models
Stefanos Giakoumatos, Athens University of Economics and Business, stefanos@aueb.gr
(with P. Dellaportas and D.N. Politis)
10.
Bayesian sequential designs supported on credible regions
Enrique Gonzalez Davila, Universidad de La Laguna, egonzale@ull.es
(with J. Ginebra)
11.
An algorithm to sample QTLs in complex pedigrees
Soledad Fernandez, Iowa State University, soledad@iastate.edu
(with Alicia Carriquiry and Rohan Fernando)
12.
On the construction of Bayes estimators which improve on classical procedures
Dominique Fourdrinier, University of Rouen, Dominique.Fourdrinier@univ-rouen.fr
(with William Strawderman and Martin Wells)
13.
The deductive phase of statistical inference via predictive simulations: A food industry case study
Philippe P. Girard, Laboratoire GRESE/ENGREF, girard@engref.fr
(with Eric Parent)
14.
Bayesian process control charts
Chikobvu Delson, University of the Orange Free State, delson@wwg3.uovs.ac.za

15.
The estimation of switchpoints in multi-path linear regression
Piet Groenewald, Univesity of the Free State SA, wwpg@wwg3.uovs.ac.za
16.
Chromosome dosimetry after accidental exposure to radiation
Peter Groer, University of Tennessee, groer@utk.edu
17.
Bayesian methods for claims reserving
Hazan, University of Haifa, stdx@rstat.haifa.ac.il
(with U. Makov)
18.
Bayesian and entropy methods in a model of US crop supply
Jonathan Kaplan, University of California-Davis, kaplan@primal.ucdavis.edu
19.
Bayesian analysis of Social Security's disability determination process: Estimation of a nested logit model by MCMC
Kajal Lahiri, SUNY Albany, KL758@cnsvax.albany.edu
(with J. Gao, J. Hu and B. Wixon)
20.
A challenge for statistical instructors: Teaching Bayesian inference without discarding the "official" significance tests
Bruno LeCoutre, CNRS et Universite de Rouen, bruno.lecoutre@univ-rouen.fr
(with Jean-Marie Grouin and Marie-Paule Lecoutre)
21.
A Bayesian approach to uncertainty analysis and model calibration in atmospheric pollution models
John D. McClure, University of Glasgow, johndm@stats.gla.ac.uk
22.
A Bayesian method to analyse cancer survival times using the Weibull model
P.J. Mostert, University of South Africa, pjmos@fharga.sun.ac.za
(with A. Bekker and J.J.J. Roux)
23.
A Bayesian model to forecast sales and competitive interactions in new product categories: An application to high technology consumer electronics
Ramya Neelamegham, University of Colorado at Boulder, neelamegham@hotmail.com
(with Chintagunta Pradeep)
24.
On prior distributions for variable selection
Ioannis Ntzoufras, Athens University of Economics and Business,
jbn@stat-athens.stats.aueb.gr
(with P. Dellaportas and J.J. Forster)
25.
Analysis of elliptical measurement error models with applications to the study of air pollution
Wilfredo Palma Catholic University of Chile, wilfredo@mat.puc.cl
(with R. Arellano-Valle and P. Iglesias)
26.
Improving on the MLE of a bounded normal mean
Francois Perron, University of Montreal, perronf@dms.umontreal.ca
(with Eric Marchand)
27.
An econometric model of birth inputs and outputs for Native Americans
Dale J. Poirier, University of California at Irvine, dpoirier@uci.edu
(with Kai Li)
28.
Bayesian density estimation and inference using the mixed linear model and the
Dirichlet process prior
Albertus L. Pretorius, University of the Orange Freestate, pretoral@wwg3.uovs.ac.za
(with Abrie J. van der Merwe)

29.
Bayesian network modeling of atmospheric nitrogen deposition at watershed scale
Peter Principe, EPA, principe.peter@epa.gov
30.
Nonparametric Bayesian clustering and product partition models
Fernando Quintana, Catholic University Chile, quintana@mat.pucem.cl
(with Pilar Iglesias and Michael Newton)
31.
Hierarchical Bayesian analysis for the number of species
Josemar Rodrigues, vjosemar@power.ufscar.br
32.
Technical trading rules: An empirical investigation in Athens stock exchange
Zontos Sotiris, Technical University of Crete, zontos@orpheas.dpem.tuc.gr
(with Christos Skiadas, Yiannis Valvis and Yiannis Kasotakis)
33.
Calculating Bayes factors for variance component testing in generalized linear mixed models
Sandip Sinharay, Iowa State University, ssray@iastate.edu
(with Hal Stern)
34.
Bayesian method of moments for the mixed linear model
Abrie J. van der Merwe, University of the Orange Freestate, fay@wwg3.uovs.ac.za
(with Albertus L. Pretorius)
35.
Multivariate combination ARCH model: A new approach
Ioannis Vrontos, Athens University of Economics and Business, vrontos@stat-athens.aueb.gr
(with P. Dellaportas and D.N. Politis)
36.
Modelling high monthly wind gusts in Cape Town area: A multivariate extreme value model with regression
D.J. de Waal, University of the Orange Free State, wwdw@wwg3.uovs.ac.za
37.
Stopping rules in auditing and tax inspection: An empirical Bayesian approach
F. Jan Wille, Free University of Amsterdam, wille@tinbergen.nl
(with Aart F. de Vos)
38.
Methods of estimating marginal likelihoods and an application in time series diagnostics
Karen Young, University of Surrey, mas1ky@ee.surrey.ac.uk
(with Lawrence Pettit)