top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advanced Methodologies for Bayesian Networks [[electronic resource] ] : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno
Advanced Methodologies for Bayesian Networks [[electronic resource] ] : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVIII, 265 p. 102 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Mathematical statistics
Computers
Database management
Application software
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Probability and Statistics in Computer Science
Computation by Abstract Devices
Database Management
Information Systems Applications (incl. Internet)
Intel·ligència artificial
Estadística bayesiana
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-319-28379-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning.-Parallelization.
Record Nr. UNISA-996466369303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Methodologies for Bayesian Networks [[electronic resource] ] : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno
Advanced Methodologies for Bayesian Networks [[electronic resource] ] : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVIII, 265 p. 102 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Mathematical statistics
Computers
Database management
Application software
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Probability and Statistics in Computer Science
Computation by Abstract Devices
Database Management
Information Systems Applications (incl. Internet)
Intel·ligència artificial
Estadística bayesiana
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-319-28379-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning.-Parallelization.
Record Nr. UNINA-9910484136303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Autore Bozza Silvia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics—Data processing
Forensic sciences
Medical jurisprudence
Forensic psychology
Social sciences—Statistical methods
Statistical Theory and Methods
Statistics and Computing
Forensic Science
Forensic Medicine
Forensic Psychology
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
ISBN 3-031-09839-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
Record Nr. UNISA-996495166503316
Bozza Silvia  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Autore Bozza Silvia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics—Data processing
Forensic sciences
Medical jurisprudence
Forensic psychology
Social sciences—Statistical methods
Statistical Theory and Methods
Statistics and Computing
Forensic Science
Forensic Medicine
Forensic Psychology
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
ISBN 3-031-09839-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
Record Nr. UNINA-9910623993803321
Bozza Silvia  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian adaptive design for immunotherapy and targeted therapy [[electronic resource] /] / by Haitao Pan, Ying Yuan
Bayesian adaptive design for immunotherapy and targeted therapy [[electronic resource] /] / by Haitao Pan, Ying Yuan
Autore Pan Haitao
Edizione [First edition 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XI, 262 p. 58 illus., 50 illus. in color.) : illustrations
Disciplina 570.15195
Soggetto topico Biometry
Biostatistics
Clinical Trial Protocols as Topic
Adaptive Clinical Trials as Topic
Bayes Theorem
Immunoteràpia
Dianes farmacològiques
Assaigs clínics
Estadística matemàtica
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 981-19-8176-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Adaptive Design and Delayed Outcomes -- Basics of Bayesian Statistics -- Phase I Dose-finding Design -- Phase II Design for Interim Monitoring -- Phase I-II Dose-finding Design -- Drug Combination Trial Design -- Conclusion.
Record Nr. UNINA-9910717420903321
Pan Haitao  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian and high-dimensional global optimization / / Anatoly Zhigljavsky, Antanas Žilinskas
Bayesian and high-dimensional global optimization / / Anatoly Zhigljavsky, Antanas Žilinskas
Autore Zhigli͡avskiĭ A. A (Anatoliĭ Aleksandrovich)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (VIII, 118 p. 54 illus., 38 illus. in color.)
Disciplina 519.7
Collana SpringerBriefs in Optimization
Soggetto topico Nonconvex programming
Optimització matemàtica
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 3-030-64712-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Space-filling in high-dimensional sets -- 2 Bi-objective decisions and partition based methods in Bayesian global optimization -- 3 Global random search in high dimensions.
Record Nr. UNINA-9910483396703321
Zhigli͡avskiĭ A. A (Anatoliĭ Aleksandrovich)  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian and high-dimensional global optimization / / Anatoly Zhigljavsky, Antanas Žilinskas
Bayesian and high-dimensional global optimization / / Anatoly Zhigljavsky, Antanas Žilinskas
Autore Zhigli͡avskiĭ A. A (Anatoliĭ Aleksandrovich)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (VIII, 118 p. 54 illus., 38 illus. in color.)
Disciplina 519.7
Collana SpringerBriefs in Optimization
Soggetto topico Nonconvex programming
Optimització matemàtica
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 3-030-64712-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Space-filling in high-dimensional sets -- 2 Bi-objective decisions and partition based methods in Bayesian global optimization -- 3 Global random search in high dimensions.
Record Nr. UNISA-996466545003316
Zhigli͡avskiĭ A. A (Anatoliĭ Aleksandrovich)  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bayesian Inference and Computation in Reliability and Survival Analysis [[electronic resource] /] / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Bayesian Inference and Computation in Reliability and Survival Analysis [[electronic resource] /] / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (367 pages)
Disciplina 519.542
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics
Clinical medicine - Research
Bayesian Inference
Bayesian Network
Clinical Research
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 3-030-88658-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. A Bayesian Approach for Step-stress Accelerated Life-tests for One-shot Devices under Exponential Distributions -- 2. Bayesian Estimation of Stress-strength Parameter for Moran-Downton Bivariate Exponential Distribution under Progressive Type-II Censoring -- 3. Bayesian Computation in A Birnbaum-Saunders Reliability Model with Applications to Fatigue Data -- 4. A Competing Risks Model Based on A Two-parameter Exponential Family Distribution under Progressive Type-II Censoring -- 5. Bayesian Computations for Reliability Analysis in Dynamic Environments -- 6. Bayesian Analysis of Stochastic Processes in Reliability -- 7. Bayesian Analysis of A New Bivariate Wiener Degradation Process -- 8. Bayesian Estimation for Bivariate Gamma Processes with Copula -- 9. Review of Statistical Treatment for Oncology Dose Escalation Trial with Prolonged Evaluation Window or Fast Enrollment -- 10. A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments under Weibull Lifetimes -- 11. Bayesian Sensitivity Analysis in Survival and Longitudinal Trial with Missing Data -- 12. Bayesian Analysis for Clustered Data under A Semi-competing Risks Framework -- 13. Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey’s Priors -- 14. Bayesian Inferences for Panel Count Data and Interval-censored Data with Nonparametric Modeling of the Baseline Functions -- 15. Bayesian Approach for Interval-censored Survival Data with Time-varying Coefficients -- 16. Bayesian Approach for Joint-modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies.
Record Nr. UNISA-996485662503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bayesian Inference and Computation in Reliability and Survival Analysis [[electronic resource] /] / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Bayesian Inference and Computation in Reliability and Survival Analysis [[electronic resource] /] / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (367 pages)
Disciplina 519.542
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics
Clinical medicine - Research
Bayesian Inference
Bayesian Network
Clinical Research
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 3-030-88658-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. A Bayesian Approach for Step-stress Accelerated Life-tests for One-shot Devices under Exponential Distributions -- 2. Bayesian Estimation of Stress-strength Parameter for Moran-Downton Bivariate Exponential Distribution under Progressive Type-II Censoring -- 3. Bayesian Computation in A Birnbaum-Saunders Reliability Model with Applications to Fatigue Data -- 4. A Competing Risks Model Based on A Two-parameter Exponential Family Distribution under Progressive Type-II Censoring -- 5. Bayesian Computations for Reliability Analysis in Dynamic Environments -- 6. Bayesian Analysis of Stochastic Processes in Reliability -- 7. Bayesian Analysis of A New Bivariate Wiener Degradation Process -- 8. Bayesian Estimation for Bivariate Gamma Processes with Copula -- 9. Review of Statistical Treatment for Oncology Dose Escalation Trial with Prolonged Evaluation Window or Fast Enrollment -- 10. A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments under Weibull Lifetimes -- 11. Bayesian Sensitivity Analysis in Survival and Longitudinal Trial with Missing Data -- 12. Bayesian Analysis for Clustered Data under A Semi-competing Risks Framework -- 13. Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey’s Priors -- 14. Bayesian Inferences for Panel Count Data and Interval-censored Data with Nonparametric Modeling of the Baseline Functions -- 15. Bayesian Approach for Interval-censored Survival Data with Time-varying Coefficients -- 16. Bayesian Approach for Joint-modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies.
Record Nr. UNINA-9910586592203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian inference of state space models : Kalman filtering and beyond / / Kostas Triantafyllopoulos
Bayesian inference of state space models : Kalman filtering and beyond / / Kostas Triantafyllopoulos
Autore Triantafyllopoulos Kostas
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2021]
Descrizione fisica 1 online resource (503 pages)
Disciplina 629.8312
Collana Springer Texts in Statistics
Soggetto topico Kalman filtering
Bayesian statistical decision theory - Data processing
Filtre de Kalman
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 9783030761240
9783030761233
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466563103316
Triantafyllopoulos Kostas  
Cham, Switzerland : , : Springer International Publishing, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui