BAYSM 2013

BAYESIAN YOUNG STATISTICIANS MEETING 2013

CNR-IMATI, Milan (MI), Italy

June, 5-6, 2013




List of accepted papers:

  1. Antoniano-Villalobos I., Walker S.G.
    A nonparametric model for stationary time series
    Paper no. 1
  2. Barrado L.G., Coart E., Burzykowski T.
    Estimation of optimally combine-biomarker accuracy in the absence of a gold standard reference test
    Paper no. 2
  3. Bass M., Sahu S.
    Efficient fitting of Bayesian regression models with spatio-temporally varying coefficients
    Paper no. 3
  4. Bitto A., Frühwirth-Schnatter S.
    Time-varying parameter models - achieving shrinkage and variable selection
    Paper no. 4
  5. Boggis E., Milo M., Walters K.
    Exploiting adaptive Bayesian regression shrinkage to identify exome sequence variants associated with gene expression
    Paper no. 5
  6. Bornn L.
    Scalable automation of Monte Carlo methods
    Paper no. 6
  7. Cellamare M., Sambucini V., Siena F.
    Randomized phase II trials: a Bayesian two-stage design
    Paper no. 7
  8. Charitidou E., Fouskakis D., Ntzoufras I.
    On Bayesian transformation selection: problem formulation and preliminary results
    Paper no. 8
  9. Di Giuseppe E., Jona Lasinio G., Pasqui M., Esposito S.
    Predicting rainfall fields from lightnings records: a hierarchical Bayesian approach
    Paper no. 9
  10. Diniz M.A., Polpo A.
    A simple proof for the multinomial version of representation theorem
    Paper no. 10
  11. Dorosh O.
    An approach to environmental problem based on PFLOTRAN package
    Paper no. 11
  12. Drovandi C.C., McGree J.M., Pettitt A.N.
    A sequential Monte Carlo framework for adaptive Bayesian model discrimination designs using mutual information
    Paper no. 12
  13. Blum M.G.B., Duforet-Frebourg N.
    Bayesian matrix factorization for outlier detection: an application in population genetics
    Paper no. 13
  14. Durante D., Scarpa B., Dunson D.B.
    Locally adaptive Bayesian covariance regression
    Paper no. 14
  15. Eibich P., Ziebarth N.R.
    Examining the structure of spatial health effects using hierarchical Bayes models
    Paper no. 15
  16. Grazian C.
    Approximate Bayesian computation for the elimination of nuisance parameters
    Paper no. 16
  17. Gruber L., Czado C.
    Bayesian model selection of regular vine copulas
    Paper no. 17
  18. Argiento R., Guglielmi A., Lanzarone E., Nawajah I.
    Bayesian analysis and prediction of patients' demands for visits in home care
    Paper no. 18
  19. Karaman E., Kaya E., Narinc D., Firat M.F.
    Bayesian hierarchical modeling of growth via Gompertz model: an application in poultry
    Paper no. 19
  20. Kastner G., Frühwirth-Schnatter S., Freitas Lopes H.
    Efficient Bayesian inference for multivariate factor stochastic volatility models
    Paper no. 20
  21. Knock E., Kypraios T., Morgan P., Sotiropoulos S.
    Noise model selection for multichannel diffusion-weighted MRI
    Paper no. 21
  22. Malsinier-Walli G., Frühwirth-Schnatter S., Grün B.
    Identifying mixtures of mixtures using Bayesian estimation
    Paper no. 22
  23. Marques R., Storvik G.
    Reweighting schemes based on particle methods
    Paper no. 23
  24. Martínez-Ovando J.C., Olivares-Guzmán S.I., Roldán-Rodríguez A.
    Bayesian inference of money flows due to international travelers on planned and unplanned domains
    Paper no. 24
  25. Martín-Fernández L., Gilioli G., Lanzarone E., Míguez J., Pasquali S., Ruggeri F., Ruiz D.P.
    Joint parameter estimation and biomass tracking in a stochastic predator-prey system
    Paper no. 25
  26. Nava C.R., Mena R.H., Prünster I.
    Poisson driven stationary Markovian models
    Paper no. 26
  27. Özel G.
    Claim sizes in the compound Poisson process from a Bayesian viewpoint
    Paper no. 27
  28. Bruno F., Paci L.
    Spatio-temporal model for short-term predictions of air pollution data
    Paper no. 28
  29. Parodi A., Ieva F., Guglielmi A., Argiento R.
    Analysis of hospitalizations of patients affected by chronic heart disease
    Paper no. 29
  30. Pervukhin A., Golikova V.
    Analysis of Ukrainian cargo transport industry through Bayesian inference and Kullback-Leibler information divergence
    Paper no. 31
  31. Pietrabissa T., Rusconi S.
    Parallel slice sampling
    Paper no. 32
  32. Plankensteiner K., Bluder O., Pilz J.
    Bayesian prediction of SMART power semiconductor lifetime with Bayesian networks
    Paper no. 33
  33. Frühwirth-Schnatter S., Halla M., Posekany A., Pruckner G., Schober T.
    Applying semiparametric Bayesian IV on health economic data
    Paper no. 34
  34. Prandoni E., Ieva F., Guglielmi A., Paganoni A.M.
    A semiparametric Bayesian multivariate model for survival probabilities after acute myocardial infarction
    Paper no. 35
  35. Pulcini A.
    Approximate Bayesian computation (ABC) in quantile regression
    Paper no. 36
  36. Salomond J.B.
    Adaptive Bayes test for monotonicity
    Paper no. 37
  37. Spence M., Blackwell P.
    Bayesian inference on individual-based models by controlling the random inputs
    Paper no. 38
  38. Taylor S., Ridall G., Sherlock C., Fearnhead P.
    Particle learning approach to Bayesian model selection: an application from neurology
    Paper no. 39
  39. Tesfaye L.M., Van Der Lans I.A., Bink M.C.A.M., Gremmen B.J.G., Van Trijp H.C.M.
    Consumer-oriented new-product development in fruit flavour breeding - a Bayesian approach
    Paper no. 40
  40. Vernet E.
    Consistency of Bayesian nonparametric hidden Markov models
    Paper no. 41
  41. Wawrzynczak A., Kopka P., Borysiewicz M.
    Bayesian methodology in the stochastic event reconstruction problems
    Paper no. 42
  42. Wheatley J.J., Blackwell P.G., Abram N.J., Wolff E.W.
    Bayesian layer-counting in ice-cores - reconstructing the time scale
    Paper no. 43
  43. Yang H.
    Land rental market and agricultural production efficiency: a Bayesian perspective
    Paper no. 44



Last update: July 3, 2013

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