Bayesian statistics from methods to models and applications

A Springer book published in conjunction with the great BAYSM 2014 conference in Wien last year has now appeared. Here is the table of contents:

• Bayesian Survival Model Based on Moment Characterization by Arbel, Julyan et al.
• A New Finite Approximation for the NGG Mixture Model: An Application to Density Estimation by Bianchini, Ilaria
• Distributed Estimation of Mixture Model by Dedecius, Kamil et al.
• Jeffreys’ Priors for Mixture Estimation by Grazian, Clara and X
• A Subordinated Stochastic Process Model by Palacios, Ana Paula et al.
• Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior by Perrakis, Konstantinos et al.
• Application of Interweaving in DLMs to an Exchange and Specialization Experiment by Simpson, Matthew
• On Bayesian Based Adaptive Confidence Sets for Linear Functionals by Szabó, Botond
• Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check by Alharthi, Muteb et al.
• A New Strategy for Testing Cosmology with Simulations by Killedar, Madhura et al.
• Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate by Kolly, Jeremy
• Bayesian Estimation of the Aortic Stiffness based on Non-invasive Computed Tomography Images by Lanzarone, Ettore et al.
• Bayesian Filtering for Thermal Conductivity Estimation Given Temperature Observations by Martín-Fernández, Laura et al.
• A Mixture Model for Filtering Firms’ Profit Rates by Scharfenaker, Ellis et al.

Enjoy!