Bayes Lectures 2014: Posters

• Charalampos Chanialidis (University of Glasgow): Bayesian density regression for count data
• Gregor Gorjanc (Roslin Institute): Hierarchical quantitative genetic model using genomic and pedigree information
• Thomas Joyce (University of Edinburgh): Bayesian Optimization Algorithms and their Complexity
• Luke Kelly (University of Oxford): Phylogenetic trees with lateral trait transfer
• Jaakko Luttinen (Aalto University): Linear State-Space Model with Time-Varying Dynamics
• Ana Paula Palacios (University of Plymouth): Non-decreasing stochastic processes: applications and Bayesian inference
• Alessandra Tosi (Universitat Politecnica de Catalunya): Metrics for probabilistic geometries
• Murat Uney (University of Edinburgh): Probabilistic models and efficient inference in fusion applications with networked sensors
• Yichuan Zhang (University of Edinburgh): Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models