Bayesian Statistics in Action

519.5

Bayesian Statistics in Action BAYSM 2016, Florence, Italy, June 19-21 / edited by Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei. -
IX, 251 p. 56 illus., 44 illus. in color. online resource. - (Springer Proceedings in Mathematics & Statistics, 194) Content notes : Part I THEORY AND METHODS -- 1 Sequential Monte Carlo methods in random intercept models for longitudinal data -- 2 On the truncation error of a superposed gamma process -- 3 On the study of two models for integer valued high-frequency data -- 4 Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching -- 5 A Bayesian Joint Dispersion Model with Flexible Links -- 6 Local posterior concentration rate for multilevel sparse sequences -- 7 Likelihood Tempering in Dynamic Model Averaging -- 8 Localization in High-Dimensional Monte Carlo Filtering -- 9 Linear inverse problem with range prior on correlations and its Variational Bayes. Part II APPLICATIONS AND CASE STUDIES -- 10 Bayesian hierarchical model for assessment of climate model biases -- 11 An application of Bayesian seemingly unrelated regression models with flexible tails -- 12 Bayesian Inference of Stochastic Pursuit Models from Basketball Tracking Data -- 13 Identification of patient-specific parameters in a kinetic model of fluid and mass transfer during dialysis -- 14 A Bayesian nonparametric approach to ecological risk assessment -- 15 Approximate Bayesian Computation Methods in the identification of atmospheric contamination sources for DAPPLE experiment -- 16 Bayesian survival analysis to model plant resistance and tolerance to virus diseases -- 17 Randomization Inference and Bayesian Inference in Regression Discontinuity Design: An application to Italian University grants -- 18 Bayesian methods for microsimulation models -- 19 A Bayesian Model for Describing and Predicting the Stochastic Demand of Emergency Calls -- 20 Flexible Parallel Split-Merge MCMC for the HDP -- 21 Bayesian Inference for Continuous Time Animal Movement Based on Steps and Turns -- 22 Explaining the Lethality of Boko Haram’s Terrorist Attacks in Nigeria, 2009-2014: A Hierarchical Bayesian Approach -- 23 Optimizing movement of cooperating pedestrians by exploiting floor-field model and Markov decision process. 9783319540849 * Mathematical statistics. Statistics. Statistical Theory and Methods. Statistics and Computing/Statistics Programs. Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. Statistics for Business/Economics/Mathematical Finance/Insurance. * Argiento, Raffaele., edt, http://id.loc.gov/vocabulary/relators/edtLanzarone, Ettore., edt, http://id.loc.gov/vocabulary/relators/edtAntoniano Villalobos, Isadora., edt, http://id.loc.gov/vocabulary/relators/edtMattei, Alessandra., edt, http://id.loc.gov/vocabulary/relators/edt * Title * Series