====== Program ====== {{:events:ysm12:abs:program1.pdf|Program}} ====== Abstracts ====== ===== Austria ===== * Verena Feirer: {{:events:ysm12:abs:feirer.pdf|Dispersed Binomial Frequencies for the Modelling of Ink Transmission on Paper}} * Gregor Kastner: {{:events:ysm12:abs:Kastner.docx|Strategies for Boosting MCMC Estimation of Multivariate Factor Stochastic Volatility (SV) Models}} * Daniel Kurz: {{:events:ysm12:abs:Kurz.docx|On a Sampling Decision System using Virtual Metrology}} * Fabian Schroeder: {{:events:ysm12:abs:schroeder.pdf|Robust Variable Selection in Linear Regression for Compositional Data}} ===== Croatia ===== * Snježana Lubura: {{:events:ysm12:abs:lubura.pdf|Analysis of the Approximate Maximum Likelihood Estimators of Diffusion Parameters by Simulations}} ===== Hungary ===== * Kristóf Körmendi: {{:events:ysm12:abs:kormendi.pdf|Parameter Estimation for Critical, Symmetric 2-type Galton-Watson Processes}} * Dóra Nemoda: {{:events:ysm12:abs:nemoda.pdf|Probabilistic Wind Speed Forecasting in Hungary}} * László Martinek: {{:events:ysm12:abs:martinek.pdf|Estimation of Claim Numbers in Automobile Insurance}} ===== Italy ===== * Nicola Lunardon: {{:events:ysm12:abs:lunardon.docx|Prepivoting Composite Likelihood Statistics by Weighted Bootstrap Iteration}} * Irene Martelli: {{:events:ysm12:abs:Irene.docx|Investigating Bayesian Item Response Theory Multidimensional Models}} * Nicola Soriani: {{:events:ysm12:abs:soriani.pdf|Approximate Maximum Likelihood Estimation for p2 Network Regression Models with Crossed Random Effects}} ===== Slovenia ===== * Tomi Deutsch: {{:events:ysm12:abs:deutsch.pdf|Potential Bias in the Consumer Price Index}} * Rok Platinovšek: {{:events:ysm12:abs:platinovsek.doc|A Simulation-Based Comparison of Two Multiple Imputation Procedures Applied to Clustered Datasets}} * Špela Jezernik Širca: {{:events:ysm12:abs:Jezernik.pdf|The JLS Model with ARMA/GARCH Errors}} ===== Young statistician from another country ===== * Joran Jongerling (NL): {{:events:ysm12:abs:Jonerling.pdf|The Multilevel First-Order Autoregressive Model: A Bayesian Look at Stability and Sensitivity}}