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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 from Methods to Models and Applications : Research from BAYSM 2014 / / edited by Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany
| Bayesian Statistics from Methods to Models and Applications : Research from BAYSM 2014 / / edited by Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (175 p.) |
| Disciplina | 519.542 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Statistics and Computing |
| ISBN | 3-319-16238-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Bayesian based adaptive confidence sets for linear functionals -- A new finite approximation for the NGG mixture model: an application to density estimation -- Distributed Estimation of Mixture Models -- Bayesian Survival Model based on Moment Characterization -- Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check -- A subordinated stochastic process model -- Jeffreys priors for mixture estimation -- Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior -- A new strategy for testing cosmology with simulations -- Mixture Model for Filtering Firms' Profit Rates -- Bayesian Estimation of the Aortic Stiffness based on Non-Invasive Computed Tomography Images -- Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate -- Bayesian Filtering for Thermal Conductivity Estimation given Temperature Observations -- Application of Interweaving in DLMs to an Exchange and Specialization Experiment. |
| Record Nr. | UNINA-9910299782403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| 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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Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 / / edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire
| Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 / / edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire |
| Autore | Avalos-Pacheco Alejandra |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (119 pages) |
| Disciplina | 519.542 |
| Altri autori (Persone) |
De VitoRoberta
MaireFlorian |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Statistical Theory and Methods Bayesian Network Bayesian Inference Estadística bayesiana |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031424137
3031424131 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | J. Owen, I. Vernon, J. Carter, Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities -- B. Hansen, A. Avalos-Pacheco, M. Russo, Roberta De Vito, A Variational Bayes Approach to Factor Analysis. P. Strong, Jim Q. Smith, Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees -- G. Vasdekis, Gareth O. Roberts, Speeding up the Zig-Zag process -- V. Ghidini, S. Legramanti, R. Argiento, Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks -- A. Lachi, C. Viscardi, M. Baccini, Approximate Bayesian inference for smoking habit dynamics in Tuscany. |
| Record Nr. | UNINA-9910768195003321 |
Avalos-Pacheco Alejandra
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesians Versus Frequentists : A Philosophical Debate on Statistical Reasoning / / by Jordi Vallverdú
| Bayesians Versus Frequentists : A Philosophical Debate on Statistical Reasoning / / by Jordi Vallverdú |
| Autore | Vallverdú Jordi |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (118 p.) |
| Disciplina | 100 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Science - Philosophy
Mathematics History Science - History Statistics Philosophy of Science History of Mathematical Sciences History of Science Statistical Theory and Methods |
| ISBN | 3-662-48638-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Some Questions to Begin with -- Ancient Statistics History in a Nutshell -- The Bayesian Approach and its Evolution until the Beginning of 20th Century -- A Conceptual Reply to Reverend Bayes: the Frequentist Approach -- The Co-evolution, Battles and Fights of Both Paradigms -- The Birth of Multicausality as the Death of Causality and Their Statistical Corollaries.- Natural vs. Artificial Minds and the Supercomputing Era -- And the Winner is... -- References. |
| Record Nr. | UNINA-9910254089303321 |
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Vallverdú Jordi
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Belief, Evidence, and Uncertainty : Problems of Epistemic Inference / / by Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
| Belief, Evidence, and Uncertainty : Problems of Epistemic Inference / / by Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper |
| Autore | Bandyopadhyay Prasanta S |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (180 p.) |
| Disciplina | 100 |
| Collana | Philosophy of Science |
| Soggetto topico |
Science - Philosophy
Statistics Logic Philosophy of Science Statistical Theory and Methods |
| ISBN | 3-319-27772-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Confirmation and Evidence -- Chapter 3. Confirmation, Evidence and Inference -- Chapter 4. Subjective Bayesian Accounts of Evidence -- Chapter 5. Mapping the Concept of Misleading Evidence -- Chapter 6. Non-Bayesian Accounts of Evidence -- Chapter 7. Error-Statistics and Severe Testing -- Chapter 8. Confirmation/Evidence Epistemology and Resolution of Paradoxes -- Chapter 9. Concluding Remarks. |
| Record Nr. | UNINA-9910255348203321 |
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Bandyopadhyay Prasanta S
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big and Complex Data Analysis : Methodologies and Applications / / edited by S. Ejaz Ahmed
| Big and Complex Data Analysis : Methodologies and Applications / / edited by S. Ejaz Ahmed |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 386 p. 85 illus., 55 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Quantitative research Biometry Data mining Statistical Theory and Methods Statistics and Computing Data Analysis and Big Data Biostatistics Data Mining and Knowledge Discovery |
| ISBN | 3-319-41573-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Unsupervised Bump Hunting Using Principal Components -- Statistical Process Control Charts as a Tool for Analyzing Big Data -- Empirical Likelihood Test for High Dimensional Generalized Linear Models -- Identifying gene-environment interactions associated with prognosis using penalized quantile regression -- A Computationally Efficient Approach for Modeling Complex and Big Survival Data -- Regularization after marginal learning for ultra-high dimensional regression models -- Tests of concentration for low-dimensional and high-dimensional directional data -- Random Projections For Large-Scale Regression -- How Different are Estimated Genetic Networks of Cancer Subtypes? -- Analysis of correlated data with error-prone response under generalized linear mixed models -- High-Dimensional Classification for Brain Decoding -- Optimal shrinkage estimation in heteroscedastic hierarchical linear models -- Bias-reduced moment estimators of Population Spectral Distribution and their applications -- Testing in the Presence of Nuisance Parameters: Some Comments on Tests Post-Model-Selection and Random Critical Values -- A Mixture of Variance-Gamma Factor Analyzers -- Fast Community Detection in Complex Networks with a K-Depths Classifier. |
| Record Nr. | UNINA-9910254293703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bilinear Regression Analysis : An Introduction / / by Dietrich von Rosen
| Bilinear Regression Analysis : An Introduction / / by Dietrich von Rosen |
| Autore | von Rosen Dietrich |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 468 p. 42 illus.) |
| Disciplina | 519.5 |
| Collana | Lecture Notes in Statistics |
| Soggetto topico |
Statistics
Algebras, Linear Biometry Statistical Theory and Methods Linear Algebra Biostatistics Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-319-78784-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- The Basic Ideas of Obtaining MLEs: A Known Dispersion -- The Basic Ideas of Obtaining MLEs: Unknown Dispersion -- Basic Properties of Estimators -- Density Approximations -- Residuals -- Testing Hypotheses -- Influential Observations -- Appendices -- Indices. |
| Record Nr. | UNINA-9910300115603321 |
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von Rosen Dietrich
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biostatistics Modeling and Public Health Applications : Study Design and Analysis Methodology in Health Sciences, Volume 1 / / edited by Ding-Geng Chen, Carlos A. Coelho
| Biostatistics Modeling and Public Health Applications : Study Design and Analysis Methodology in Health Sciences, Volume 1 / / edited by Ding-Geng Chen, Carlos A. Coelho |
| Autore | Chen Ding-Geng |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (311 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) | CoelhoCarlos A |
| Collana | Emerging Topics in Statistics and Biostatistics |
| Soggetto topico |
Statistics
Biometry Biostatistics Statistical Theory and Methods Biometria Salut pública |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031696909
3031696905 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Bootstrap calibrated tests for average bioequivalence and scaled average bioequivalence. -- Hypothesis Testing within Bayesian Inference "Regression Estimation for Length-Biased Data:A Review and Comparative Study". -- "Nonparametric Methods for Incomplete Multivariate Data: Applications to Quality of Life Outcomes". -- Geostatistical Analysis of Under-Five Children Mortality and Associated Factors Across Sub-Saharan African Countries. -- SEIRD Mathematical Modelling of Malaria Transmission Dynamics in Ethiopia. -- Robust Principal Component Analysis for Retinal Image Enhancement. -- "Estimating Average and Individual Treatment Effects in the Presence of Time-Dependent Covariates". -- "Detection of Quadratic Interactions in Brain Functional Connectivity". -- "Variable selection in the generalized semiparametric longitudinal model and HIV analysis". -- Survey design effect in the prediction of events for categorical health outcomes through regression methods: Evidence from Malawi under-five mortality survey data; 2000-2016. -- Survey design effect in the prediction of events for categorical health outcomes through regression methods: Evidence from Malawi under-five mortality survey data; 2000-2016. -- Issues in Multivariate Spatial Analysis of Multiple Diseases Using Complex Health Survey Data. |
| Record Nr. | UNINA-9910917795003321 |
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Chen Ding-Geng
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Boosted Statistical Relational Learners : From Benchmarks to Data-Driven Medicine / / by Sriraam Natarajan, Kristian Kersting, Tushar Khot, Jude Shavlik
| Boosted Statistical Relational Learners : From Benchmarks to Data-Driven Medicine / / by Sriraam Natarajan, Kristian Kersting, Tushar Khot, Jude Shavlik |
| Autore | Natarajan Sriraam |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (79 p.) |
| Disciplina |
005.75
005.756 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Artificial intelligence
Statistics Data mining Medical informatics Artificial Intelligence Statistical Theory and Methods Data Mining and Knowledge Discovery Health Informatics |
| ISBN | 3-319-13644-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Statistical Relational Learning -- Boosting (Bi-)Directed Relational Models -- Boosting Undirected Relational Models -- Boosting in the presence of missing data -- Boosting Statistical Relational Learning in Action -- Appendix: Booster System. |
| Record Nr. | UNINA-9910298982003321 |
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Natarajan Sriraam
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
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Statistical Theory and Methods
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- Biostatistics (217)
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