Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / / edited by Raffaele Argiento, Daniele Durante, Sara Wade |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XI, 184 p. 40 illus., 29 illus. in color.) |
Disciplina | 519.5 |
Collana | Springer Proceedings in Mathematics & Statistics |
Soggetto topico |
Statistics
Computer simulation Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Business, Management, Economics, Finance, Insurance Statistics for Life Sciences, Medicine, Health Sciences Simulation and Modeling |
ISBN | 3-030-30611-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I – Theory and Methods: A. Diana, J. Griffin, and E. Matechou, A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population -- S. Haque and K. Mengersen, Bias Estimation and Correction Using Bootstrap Simulation of the Linking Process -- N. Laitonjam and N. Hurley, Non-parametric Overlapping Community Detection -- L. Fee Schneider, T. Staudt, and A. Munk, Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study -- C. Spire and D. Chakrabarty, Learning in the Absence of Training Data - a Galactic Application -- D. Tait and B. Worton, Multiplicative Latent Force Models -- PART II – Computational Statistics: N. Cunningham, J. E. Griffin, D. L. Wild, and A. Lee, particleMDI: A Julia Package for the Integrative Cluster Analysis of Multiple Datasets -- D. Hosszejni and G. Kastner, Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage -- B. Karimi and M. Lavielle, Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models -- G. Kratzer, Reinhard Furrer, and Pittavino Marta. Comparison Between Suitable Priors for Additive Bayesian Networks -- I. Peneva and R. Savage, A Bayesian Nonparametric Model for Integrative Clustering of Omics Data -- I. Schwabe, Bayesian Inference of Interaction Effects in Item-Level Hierarchical Twin Data -- PART III – Applied Statistics: K. Brock, L. Billingham, C. Yap, and G. Middleton, A Phase II Clinical Trial Design for Associated Co-Primary Efficacy and Toxicity Outcomes with Baseline Covariates -- E. Lanzarone, E. Scalco, A. Mastropietro, S. Marzi, and G. Rizzo, A Conditional Autoregressive Model for estimating Slow and Fast Diffusion from Magnetic Resonance Images -- D. Rocha, M. Scotto, C. Pinto, J. Nuno Tavares, and S. Gouveia, Simulation Study of HIV Temporal Patterns Using Bayesian Methodology -- A. Shenvi, J. Smith, R. Walton, and S. Eldridge, Modelling with Non-Stratified Chain Event Graphs -- O. Stevenson and B. Brewer, Modelling Career Trajectories of Cricket Players Using Gaussian Processes -- F. Turner, R. Wilkinson, C. Buck, J. Jones, and L. Sime, Ice Cores and Emulation: Learning More About Past Ice Sheet Shapes. |
Record Nr. | UNINA-9910360852703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21 / / edited by Raffaele Argiento, Ettore Lanzarone, Isadora Antoniano Villalobos, Alessandra Mattei |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (IX, 251 p. 56 illus., 44 illus. in color.) |
Disciplina | 519.542 |
Collana | Springer Proceedings in Mathematics & Statistics |
Soggetto topico |
Statistics
Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Social Sciences, Humanities, Law Statistics for Business, Management, Economics, Finance, Insurance |
ISBN | 3-319-54084-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910254298103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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New frontiers in Bayesian Statistics : Baysm 2021, online, September 1-3 / / edited by Raffaele Argiento, Federico Camerlenghi, and Sally Paganin |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (122 pages) |
Disciplina | 519.542 |
Collana | Springer Proceedings in Mathematics and Statistics |
Soggetto topico |
Bayesian statistical decision theory
Estadística bayesiana |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-031-16427-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996499868203316 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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New frontiers in Bayesian Statistics : Baysm 2021, online, September 1-3 / / edited by Raffaele Argiento, Federico Camerlenghi, and Sally Paganin |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (122 pages) |
Disciplina | 519.542 |
Collana | Springer Proceedings in Mathematics and Statistics |
Soggetto topico |
Bayesian statistical decision theory
Estadística bayesiana |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-031-16427-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910632477903321 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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