Bayesian inference / Anthony O'Hagan |
Autore | O'Hagan, Anthony |
Pubbl/distr/stampa | London : E. Arnold, 1994 |
Descrizione fisica | xii, 330 p. ; 26 cm. |
Disciplina | 519.5 |
Altri autori (Persone) | Kendall, Maurice G. |
Collana | Kendall's advanced theory og statistics ; 2B |
Soggetto topico |
Bayesian inference
Mathematical statistics |
ISBN | 0340529229 |
Classificazione | AMS 62F15 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000715799707536 |
O'Hagan, Anthony
![]() |
||
London : E. Arnold, 1994 | ||
![]() | ||
Lo trovi qui: Univ. del Salento | ||
|
Benchmark Priors Revisited : : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging / / Martin Feldkircher, Stefan Zeugner |
Autore | Feldkircher Martin |
Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
Descrizione fisica | 39 p. : col. ill |
Altri autori (Persone) | ZeugnerStefan |
Collana | IMF Working Papers |
Soggetto topico |
Bayesian statistical decision theory
Economic development - Mathematical models Econometrics Inflation Labor Public Finance Data Processing Bayesian Analysis: General Data Collection and Data Estimation Methodology Computer Programs: General National Government Expenditures and Related Policies: Infrastructures Other Public Investment and Capital Stock Human Capital Skills Occupational Choice Labor Productivity Price Level Deflation Bayesian inference Data capture & analysis Public finance & taxation Labour income economics Macroeconomics Bayesian models Data processing Public investment and public-private partnerships (PPP) Human capital Econometric models Electronic data processing Public-private sector cooperation Prices |
ISBN |
1-4623-4466-6
1-4518-7349-2 9786612844096 1-4527-6923-0 1-282-84409-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910788226903321 |
Feldkircher Martin
![]() |
||
Washington, D.C. : , : International Monetary Fund, , 2009 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Data Assimilation Fundamentals : A Unified Formulation of the State and Parameter Estimation Problem |
Autore | Evensen Geir |
Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
Descrizione fisica | 1 online resource (251 p.) |
Altri autori (Persone) |
VossepoelFemke C
van LeeuwenPeter Jan |
Collana | Springer Textbooks in Earth Sciences, Geography and Environment |
Soggetto topico |
Earth sciences
Probability & statistics Bayesian inference |
Soggetto non controllato |
Data Assimilation
Parameter Estimation Ensemble Kalman Filter 4DVar Representer Method Ensemble Methods Particle Filter Particle Flow |
ISBN | 3-030-96709-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910564680903321 |
Evensen Geir
![]() |
||
Cham, : Springer International Publishing AG, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods / / Alin Mirestean, Charalambos Tsangarides, Huigang Chen |
Autore | Mirestean Alin |
Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
Descrizione fisica | 1 online resource (45 p.) |
Altri autori (Persone) |
TsangaridesCharalambos
ChenHuigang |
Collana | IMF Working Papers |
Soggetto topico |
Panel analysis
Bayesian statistical decision theory Econometrics Data Processing Bayesian Analysis: General Estimation Data Collection and Data Estimation Methodology Computer Programs: General Bayesian inference Econometrics & economic statistics Data capture & analysis Bayesian models Estimation techniques Data processing Econometric models Electronic data processing |
ISBN |
1-4623-7192-2
1-4527-1274-3 9786612842955 1-4518-7221-6 1-282-84295-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; I. Introduction; II. Model Uncertainty in the Bayesian Context; A. Model Selection and Hypothesis Testing; B. Bayesian Model Averaging; C. Choice of Priors; III. Limited Information Bayesian Model Averaging; A. A Dynamic Panel Data Model with Endogenous Regressors; B. Estimation and Moment Conditions; C. The Limited Information Criterion; IV. Monte Carlo Simualtions and Results; A. The Data Generating Process; B. Simulation Results; V. Conclusion; References; Tables; 1. Posterior Probability of the True Model; 2. Posterior Probability Ratio of True Model/Best among the Other Models
3. Probability of Retrieving the True Model4. Model Recovery: Medians and Variances of Posterior Inclusi; 5. Model Recovery: Medians and Variances of Estimated Paramet; 6. Posterior Probability of the True Model (Non-Gaussian Case); 7. Posterior Probability Ratio: True Model/best among the Other Models (Non-Gaussian Case); 8. Probability of Retrieving the True Model (Non-Gaussian Case); 9. Model Recovery: Medians and Variances of Posterior Inclusion Probability for Each Variable (Non-Gaussian Case); 10. Model Recovery: Medians and Variances of Estimated Parameter Values (Non- Gaussian Case) Appendix A Figures1. Posterior Densities for the Probabilities in Table 1; 2. Posterior Densities for the Probabilities in Table 2; 3. Box Plots for Parameters in Table 5; 4. Posterior Densities for the Probabilities in Table 6; 5. Posterior Densities for the Probabilities in Table 7; 6. Box Plots for Parameters in Table 10 |
Record Nr. | UNINA-9910788337703321 |
Mirestean Alin
![]() |
||
Washington, D.C. : , : International Monetary Fund, , 2009 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Regularized System Identification : Learning Dynamic Models from Data |
Autore | Pillonetto Gianluigi |
Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
Descrizione fisica | 1 online resource (394 p.) |
Altri autori (Persone) |
ChenTianshi
ChiusoAlessandro De NicolaoGiuseppe LjungLennart |
Collana | Communications and Control Engineering |
Soggetto topico |
Machine learning
Automatic control engineering Statistical physics Bayesian inference Probability & statistics Cybernetics & systems theory |
Soggetto non controllato |
System Identification
Machine Learning Linear Dynamical Systems Nonlinear Dynamical Systems Kernel-based Regularization Bayesian Interpretation of Regularization Gaussian Processes Reproducing Kernel Hilbert Spaces Estimation Theory Support Vector Machines Regularization Networks |
ISBN | 3-030-95860-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910568256103321 |
Pillonetto Gianluigi
![]() |
||
Cham, : Springer International Publishing AG, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|