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BISP5 |
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Thursday June 14th |
15:00-16:00 h
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REGISTRATION AT ADEIT |
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16:00-17:30 h
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SESSION 1: INVITED Chair: Susie Bayarri (Universitat de València) Jim Berger (Duke University). Analysis of Complex Computer Models of Processes Arnaud Doucet (University of British Columbia). The Expected Auxiliary Variables Method for Bayesian Inference in State-Space Models |
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17:30-18:00 h
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ORXATA BREAK (Typical beverage from the Valencian Country) |
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18:00-19:00 h
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SESSION 2: INVITED CONTRIBUTED Chair: Antonio López-Quílez (Universitat de València) Miguel Ángel Martínez-Beneito* (Epidemiology Service, Generalitat Valenciana and Universitat de València), Antonio López-Quílez (Universitat de València) and Paloma Botella-Rocamora (Universidad CEU San Pablo Cardenal Herrera and Universitat de València). Linking spatio-temporal disease mapping information Raquel Prado (University of California at Santa Cruz). Sequential estimation of features associated with states of mental alertness in EEG signals |
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20:00-21:30 h
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WELCOME RECEPTION |
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Friday June 15th |
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9:30-11:00 h
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SESSION 3: INVITED Chair: Sonia Petrone (Università Bocconi) Shengde Liang and Brad Carlin* (University of Minnesota). Spatial Point Processes Models for Multivariate Data Tobias Rydén (Lund University). Pros and cons of Bayesian estimation of hidden Markov models |
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11:00-11:30 h
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COFFEE BREAK |
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11:30-13:10 h
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SESSION 4: CONTRIBUTED Chair: Juan Antonio Cano (Universidad de Murcia) George W. Woodworth (University of Iowa) and Jay Kadane* (Carnegie Mellon University). Age and Time-Varying Proportional Hazards Model for Employment Discrimination Hedibert F. Lopes*, Robert McCulloch and Ruey Tsay (The University of Chicago). Time-varying Covariances: A Cholesky Decomposition Approach Malcolm J. Price*, Nicky J. Welton and A.E. Ades (University of Bristol). Bayesian Inferential Techniques for Modelling the Effect of Treatment on Disease Progression Represented by a Continuous-time Markov Model Vilda Purutçuoglu* and Ernst Wit (Lancaster University). Bayesian inference for the MAPK/ERK pathway by considering the dependency of the kinetic parameters Refik Soyer* and M. Murat Tarimcilar (The George Washington University). Modeling and Analysis of Call Center Arrival Data: A Bayesian Approach |
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13:10-15:30 h
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LUNCH BREAK |
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15:30-17:00 h
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SESSION 5: INVITED CONTRIBUTED Chair: Carmen Armero (Universitat de València) Nicolas Chopin* (Ecole Nationale de la Statistique et de l'Administration Economique, Paris) and Elisa Varini (CNR Milano). Likelihood inference for continuous-time hidden Markov models Pierpaolo De Blasi* (University of Turin) and Nils Lid Hjort (Univerity of Oslo). Bayesian survival analysis in proportional hazard models with logistic relative risk Zhen Wang* and Steven N. MacEachern (Ohio State University). Bayesian inference for a distribution-valued stochastic process |
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17:00-17:30 h
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ORXATA BREAK (Typical beverage from the Valencian Country) |
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17:30-19:00 h
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SESSION 6: INVITED CONTRIBUTED Chair: Michael Wiper (Universidad Carlos III de Madrid) Paul Fearnhead (Lancaster University). Bayesian analysis of the structure of GC content in the Human Genome Andrew Golightly* and Darren J. Wilkinson (Newcastle University). Bayesian inference for nonlinear multivariate diffusion processes Marc Suchard (University of California at Los Angeles). Phylogenetic repeated measures models via a Brownian diffusion process |
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19:00-21:30 h
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Poster SESSION Chair: David Conesa (Universitat de València) List and abstracts of poster contributions (only those which autors have confirmed their presence). |
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Saturday June 16th |
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9:30-11:00 h
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SESSION 7: INVITED Chair: Peter Mueller (UT MD Anderson Cancer Center) Richard Boys (Newcastle University). Bayesian inference for stochastic epidemic models with time-inhomogeneous removal rates Bhramar Mukherjee (University of Michigan). Using the Dirichlet Process Prior to Model Epidemiologic Data |
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11:00-11:30 h
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COFFEE BREAK |
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11:30-13:10 h
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SESSION 8: CONTRIBUTED Chair: Marco Ferreira (Universidade Federal do Rio de Janeiro) Dilan Gorur* and Carl Edward Rasmussen (Max Planck Institute for Biological Cybernetics). Dirichlet Process Mixtures of Factor Analysers Michele Guindani* (UT MD Anderson Cancer Center), Alan Gelfand (Duke University) and Sonia Petrone (Bocconi University). Hybrid Dirichlet processes for Bayesian inference with functional data John Haslett and Andrew Parnell* (Trinity College Dublin). Non-parametric Bayesian monotonic regression with applications to radiocarbon dating Matteo Ruggiero* (University of Turin) and Stephen G. Walker (University of Kent). Urn-based Particle Processes for Fleming-Viot Models in Bayesian Nonparametrics Matt Taddy* and Athanasios Kottas (University of California at Santa Cruz). Bayesian Nonparametric Markov Switching Regression Models |
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13:10-15:30 h
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LUNCH BREAK |
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15:30-17:00 h
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SESSION 9: INVITED CONTRIBUTED Chair: Fabrizio Ruggeri (CNR-IMATI, Milano) Lancelot F. James (Hong Kong University ) and John W. Lau* (University of Bristol). A class of generalized hyperbolic continuous time integrated stochastic volability likelihood models Gonzalo García-Donato Layrón (Universidad de Castilla- La Mancha), Jesús Palomo (Universidad Rey Juan Carlos) and Rui Paulo (University of Bristol). Validation of computer models with multivariate functional outputs Fabio Rigat (University of Warwick). Parallel hierarchical sampling |
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18:00-23:30 h
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EXCURSION AND FAREWELL DINNER |