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Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / / edited by Raffaele Argiento, Daniele Durante, Sara Wade
| 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
Mathematical statistics - Data processing Biometry Computer simulation Statistical Theory and Methods Statistics and Computing Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Computer Modelling |
| 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
| 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
Mathematical statistics - Data processing Social sciences - Statistical methods Statistical Theory and Methods Statistics and Computing Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics in 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 decisionprocess. |
| 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
| 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, Sally Paganin
| New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1–3 / / edited by Raffaele Argiento, Federico Camerlenghi, Sally Paganin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (122 pages) |
| Disciplina | 519.542 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Mathematical statistics
Stochastic processes Stochastic models Stochastic analysis Markov processes Mathematical Statistics Stochastic Networks Stochastic Modelling Stochastic Analysis Markov Process Stochastic Processes Estadística bayesiana |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-16427-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Andrej Srakar, Approximate Bayesian algorithm for tensor robust principal component analysis -- 2 Yuanqi Chu, Xueping Hu, Keming Yu, Bayesian Quantile Regression for Big Data Analysis -- 3 Peter Strong, Alys McAlphine, Jim Smith, Towards A Bayesian Analysis of Migration Pathways using Chain Event Graphs of Agent Based Models -- 4 Giorgos Tzoumerkas, Dimitris Fouskakis, Power-Expected-Posterior Methodology with Baseline Shrinkage Priors -- 5 Mica Teo, Sara Wade, Bayesian nonparametric scalar-on-image regression via Potts-Gibbs random partition models -- 6 Alessandro Colombi, Block Structured Graph Priors in Gaussian Graphical Models -- 7 Jessica Pavani, Paula Moraga, A Bayesian joint spatio-temporal model for multiple mosquito-borne diseases -- 8 Ivan Gutierrez, Luis Gutierrez, Danilo Alvare, A Bayesian nonparametric test for cross-group differences relative to a control -- 9 Francesco Gaffi, Antonio Lijoi, Igor Pruenster, Specification of the base measure of nonparametric priors via random means -- 10 Matteo Pedone, Raffaele Argiento, Francesco Claudio Stingo, Bayesian Nonparametric Predictive Modeling for Personalized Treatment Selection -- 11 Gabriel Calvo, carmen armero, Virgilio Gómez-Rubio, Guido Mazzinari, Bayesian growth curve model for studying the intra-abdominal volume during pneumoperitoneum for laparoscopic surgery. |
| Record Nr. | UNINA-9910632477903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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