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Bayesian Essentials with R / / by Jean-Michel Marin, Christian P. Robert
| Bayesian Essentials with R / / by Jean-Michel Marin, Christian P. Robert |
| Autore | Marin Jean-Michel |
| Edizione | [2nd ed. 2014.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIV, 296 p. 75 illus., 38 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Springer Texts in Statistics |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Statistics and Computing Statistical Theory and Methods |
| ISBN |
9781461486879
1461486874 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | User's Manual -- Normal Models -- Regression and Variable Selection -- Generalized Linear Models -- Capture-Recapture Experiments -- Mixture Models -- Time Series -- Image Analysis -- References -- Index. |
| Record Nr. | UNINA-9910300148603321 |
Marin Jean-Michel
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / / edited by Adriano Polpo, Julio Stern, Francisco Louzada, Rafael Izbicki, Hellinton Takada
| Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / / edited by Adriano Polpo, Julio Stern, Francisco Louzada, Rafael Izbicki, Hellinton Takada |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 304 p. 70 illus., 44 illus. in color.) |
| Disciplina | 519.542 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Thermodynamics Biometry Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistical Theory and Methods Biostatistics |
| ISBN | 3-319-91143-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ariel Caticha,Quantum phases in entropic dynamics -- Ali Mohammad-Djafari,Bayesian Approach to Variable Splitting - Link with ADMM Methods -- Afonso Vaz,Prior shift using the Ratio Estimator -- Camila B. Martins,Bayesian meta-analytic measure -- Diego Marcondes,Feature Selection from Local Lift Dependence based Partitions -- Dirk Nille,Probabilistic Inference of Surface Heat Flux Densities from Infrared Thermography -- Donald Spector,Schrödinger's Zebra: Applying Mutual Information Maximization to Graphical Halftoning -- Geert Verdoolaege,Regression of Fluctuating System Properties: Baryonic Tully-Fisher Scaling in Disk Galaxies -- Hellinton Takada,Bayesian Portfolio Optimization for Electricity Generation Planning -- Jony Pinto Junior,Bayesian variable selection methods for log-Gaussian Cox processes -- Keith Earle,Effect of Hindered Diffusion on the Parameter Sensitivity of Magnetic Resonance Spectra -- Leandro Ferreira,The random Bernstein polynomial smoothing via ABC method -- Nestor Caticha,Mean Field studies of a society of interacting agents -- Marcio Diniz,The beginnings of axiomatic subjective probability -- Mircea Dumitru,Model selection in the sparsity context for inverse problems in Bayesian framework -- Milene Farhat,Sample Size Calculation using Decision Theory -- Nathália Moura,Utility for Significance Tests -- Paulo Hubert,Probabilistic equilibria: a review on the application of MAXENT to macroeconomic models -- Paulo Hubert,Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data -- Patricio Maturana,Bayesian support for Evolution: detecting phylogenetic signal in a subset of the primate family -- Rafael Catoia Pulgrossi,A comparison of two methods for obtaining a collective posterior distribution -- Rafael Console,A nonparametric Bayesian approach for the two-sample problem -- Thais Fonseca,Covariance modeling for multivariate spatial processes based on separable approximations -- Roberta Lima,Uncertainty quantification and cumulative distribution function: how are they related? -- Robert NIVEN,Maximum Entropy Analysis of Flow Networks with Structural Uncertainty (Graph Ensembles) -- Roland Preuss,Optimization employing Gaussian process-based surrogates -- Robert NIVEN,Bayesian and Maximum Entropy Analyses of Flow Networks with Gaussian or non-Gaussian Priors, and Soft Constraints -- Wesley Henderson,Using the Z-order curve for Bayesian model comparison. |
| Record Nr. | UNINA-9910300134603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Networks in R : with Applications in Systems Biology / / by Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre
| Bayesian Networks in R : with Applications in Systems Biology / / by Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre |
| Autore | Nagarajan Radhakrishnan |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (168 p.) |
| Disciplina | 519.542 |
| Altri autori (Persone) |
ScutariMarco
LèbreSophie |
| Collana | Use R! |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Compilers (Computer programs) Statistics and Computing Statistical Theory and Methods Compilers and Interpreters |
| ISBN |
9781461464464
1461464463 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Bayesian Networks in the Absence of Temporal Information -- Bayesian Networds in the Presence of Temporal Information -- Bayesian Network Inference Algorithms -- Parallel Computing for Bayesian Networks -- Solutions -- Index -- References. |
| Record Nr. | UNINA-9910438136003321 |
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Nagarajan Radhakrishnan
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Nonparametric Data Analysis / / by Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson
| Bayesian Nonparametric Data Analysis / / by Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson |
| Autore | Müller Peter |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (203 p.) |
| Disciplina | 519.542 |
| Collana | Springer Series in Statistics |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Biometry Statistical Theory and Methods Statistics and Computing Biostatistics |
| ISBN |
9783319189680
3319189689 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Acronyms -- 1.Introduction -- 2.Density Estimation - DP Models -- 3.Density Estimation - Models Beyond the DP -- 4.Regression -- 5.Categorical Data -- 6.Survival Analysis -- 7.Hierarchical Models -- 8.Clustering and Feature Allocation -- 9.Other Inference Problems and Conclusions -- Appendix: DP package. |
| Record Nr. | UNINA-9910299766803321 |
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Müller Peter
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / / by Ismaël Castillo
| Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / / by Ismaël Castillo |
| Autore | Castillo Ismaël |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (225 pages) |
| Disciplina | 519.5 |
| Collana | École d'Été de Probabilités de Saint-Flour |
| Soggetto topico |
Statistics
Machine learning Mathematical optimization Calculus of variations Statistical physics Probabilities Statistical Theory and Methods Machine Learning Calculus of Variations and Optimization Statistical Physics Probability Theory Estadística bayesiana Estadística no paramètrica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031740350
9783031740343 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -1. Introduction, rates I.-2. Rates II and first examples.-3. Adaptation I: smoothness.-4. Adaptation II: high-dimensions and deep neural networks -- 5. Bernstein-von Mises I: functionals -- 6. Bernstein-von Mises II: multiscale and applications -- 7. classification and multiple testing -- 8. Variational approximations. |
| Record Nr. | UNINA-9910908381203321 |
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Castillo Ismaël
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / / by Ismaël Castillo
| Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / / by Ismaël Castillo |
| Autore | Castillo Ismaël |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (225 pages) |
| Disciplina | 519.5 |
| Collana | École d'Été de Probabilités de Saint-Flour |
| Soggetto topico |
Statistics
Machine learning Mathematical optimization Calculus of variations Statistical physics Probabilities Statistical Theory and Methods Machine Learning Calculus of Variations and Optimization Statistical Physics Probability Theory Estadística bayesiana Estadística no paramètrica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031740350
9783031740343 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -1. Introduction, rates I.-2. Rates II and first examples.-3. Adaptation I: smoothness.-4. Adaptation II: high-dimensions and deep neural networks -- 5. Bernstein-von Mises I: functionals -- 6. Bernstein-von Mises II: multiscale and applications -- 7. classification and multiple testing -- 8. Variational approximations. |
| Record Nr. | UNISA-996630872303316 |
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Castillo Ismaël
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Bayesian Optimization for Materials Science / / by Daniel Packwood
| Bayesian Optimization for Materials Science / / by Daniel Packwood |
| Autore | Packwood Daniel |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VIII, 42 p. 16 illus., 12 illus. in color.) |
| Disciplina | 519.3 |
| Collana | SpringerBriefs in the Mathematics of Materials |
| Soggetto topico |
Materials
Catalysis Force and energy Statistics Mathematical physics Materials for Energy and Catalysis Statistical Theory and Methods Theoretical, Mathematical and Computational Physics |
| ISBN |
9789811067815
9811067813 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Overview of Bayesian optimization in materials science -- Chapter 2. Theory of Bayesian optimization -- Chapter 3. Bayesian optimization of molecules adsorbed to metal surfaces. |
| Record Nr. | UNINA-9910254287803321 |
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Packwood Daniel
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Reliability / / by Michael S. Hamada, Alyson Wilson, C. Shane Reese, Harry Martz
| Bayesian Reliability / / by Michael S. Hamada, Alyson Wilson, C. Shane Reese, Harry Martz |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (449 p.) |
| Disciplina | 620.0045201519542 |
| Altri autori (Persone) | HamadaMichael <1955-> |
| Collana | Springer Series in Statistics |
| Soggetto topico |
Probabilities
Statistics Security systems Probability Theory Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Security Science and Technology Statistical Theory and Methods |
| ISBN |
1-281-86123-5
9786611861230 0-387-77950-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reliability Concepts -- Bayesian Inference -- Advanced Bayesian Modeling and Computational Methods -- Component Reliability -- System Reliability -- Repairable System Reliability -- Regression Models in Reliability -- Using Degradation Data to Assess Reliability -- Planning for Reliability Data Collection -- Assurance Testing. |
| Record Nr. | UNINA-9910969465003321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
| Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura |
| Autore | Matsuura Kentaro |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (395 pages) |
| Disciplina | 519.542 |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Biometry Social sciences - Statistical methods Statistics and Computing Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Estadística bayesiana Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811947551
9789811947544 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data. |
| Record Nr. | UNISA-996508571103316 |
|
Matsuura Kentaro
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bayesian Statistical Modeling with Stan, R, and Python / / by Kentaro Matsuura
| Bayesian Statistical Modeling with Stan, R, and Python / / by Kentaro Matsuura |
| Autore | Matsuura Kentaro |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (395 pages) |
| Disciplina | 519.542 |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Biometry Social sciences - Statistical methods Statistics and Computing Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Estadística bayesiana Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811947551
9789811947544 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data. |
| Record Nr. | UNINA-9910645896403321 |
|
Matsuura Kentaro
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Theory and Methods
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