BAYSM 2013
BAYESIAN YOUNG STATISTICIANS MEETING 2013
CNR-IMATI, Milan (MI), Italy
June, 5-6, 2013
List of accepted papers:
- Antoniano-Villalobos I., Walker S.G.
A nonparametric model for stationary time series
Paper no. 1
- 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
- Bass M., Sahu S.
Efficient fitting of Bayesian regression models with spatio-temporally varying coefficients
Paper no. 3
- Bitto A., Frühwirth-Schnatter S.
Time-varying parameter models - achieving shrinkage and variable selection
Paper no. 4
- Boggis E., Milo M., Walters K.
Exploiting adaptive Bayesian regression shrinkage to identify exome sequence variants
associated with gene expression
Paper no. 5
- Bornn L.
Scalable automation of Monte Carlo methods
Paper no. 6
- Cellamare M., Sambucini V., Siena F.
Randomized phase II trials: a Bayesian two-stage design
Paper no. 7
- Charitidou E., Fouskakis D., Ntzoufras I.
On Bayesian transformation selection: problem formulation and preliminary results
Paper no. 8
- Di Giuseppe E., Jona Lasinio G., Pasqui M., Esposito S.
Predicting rainfall fields from lightnings records: a hierarchical Bayesian approach
Paper no. 9
- Diniz M.A., Polpo A.
A simple proof for the multinomial version of representation theorem
Paper no. 10
- Dorosh O.
An approach to environmental problem based on PFLOTRAN package
Paper no. 11
- 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
- Blum M.G.B., Duforet-Frebourg N.
Bayesian matrix factorization for outlier detection: an application in population genetics
Paper no. 13
- Durante D., Scarpa B., Dunson D.B.
Locally adaptive Bayesian covariance regression
Paper no. 14
- Eibich P., Ziebarth N.R.
Examining the structure of spatial health effects using hierarchical Bayes models
Paper no. 15
- Grazian C.
Approximate Bayesian computation for the elimination of nuisance parameters
Paper no. 16
- Gruber L., Czado C.
Bayesian model selection of regular vine copulas
Paper no. 17
- Argiento R., Guglielmi A., Lanzarone E., Nawajah I.
Bayesian analysis and prediction of patients' demands for visits in home care
Paper no. 18
- Karaman E., Kaya E., Narinc D., Firat M.F.
Bayesian hierarchical modeling of growth via Gompertz model: an application in poultry
Paper no. 19
- Kastner G., Frühwirth-Schnatter S., Freitas Lopes H.
Efficient Bayesian inference for multivariate factor stochastic volatility models
Paper no. 20
- Knock E., Kypraios T., Morgan P., Sotiropoulos S.
Noise model selection for multichannel diffusion-weighted MRI
Paper no. 21
- Malsinier-Walli G., Frühwirth-Schnatter S., Grün B.
Identifying mixtures of mixtures using Bayesian estimation
Paper no. 22
- Marques R., Storvik G.
Reweighting schemes based on particle methods
Paper no. 23
- 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
- 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
- Nava C.R., Mena R.H., Prünster I.
Poisson driven stationary Markovian models
Paper no. 26
- Özel G.
Claim sizes in the compound Poisson process from a Bayesian viewpoint
Paper no. 27
- Bruno F., Paci L.
Spatio-temporal model for short-term predictions of air pollution data
Paper no. 28
- Parodi A., Ieva F., Guglielmi A., Argiento R.
Analysis of hospitalizations of patients affected by chronic heart disease
Paper no. 29
- Pervukhin A., Golikova V.
Analysis of Ukrainian cargo transport industry through Bayesian inference and Kullback-Leibler information divergence
Paper no. 31
- Pietrabissa T., Rusconi S.
Parallel slice sampling
Paper no. 32
- Plankensteiner K., Bluder O., Pilz J.
Bayesian prediction of SMART power semiconductor lifetime with Bayesian networks
Paper no. 33
- Frühwirth-Schnatter S., Halla M., Posekany A., Pruckner G., Schober T.
Applying semiparametric Bayesian IV on health economic data
Paper no. 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
- Pulcini A.
Approximate Bayesian computation (ABC) in quantile regression
Paper no. 36
- Salomond J.B.
Adaptive Bayes test for monotonicity
Paper no. 37
- Spence M., Blackwell P.
Bayesian inference on individual-based models by controlling the random inputs
Paper no. 38
- Taylor S., Ridall G., Sherlock C., Fearnhead P.
Particle learning approach to Bayesian model selection: an application from neurology
Paper no. 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
- Vernet E.
Consistency of Bayesian nonparametric hidden Markov models
Paper no. 41
- Wawrzynczak A., Kopka P., Borysiewicz M.
Bayesian methodology in the stochastic event reconstruction problems
Paper no. 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
- Yang H.
Land rental market and agricultural production efficiency: a Bayesian perspective
Paper no. 44
Last update: July 3, 2013
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