Bayesian Modeling of Crowd Dynamics by Aggregating Multiresolution Observations From UAVs and UGVs

Authors: Yuan, Y., Son, Y., Liu, J.

Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems IEEE Trans. Syst. Man Cybern, Syst. Systems, Man, and Cybernetics: Systems, IEEE Transactions on. 52(10):6406-6417 Oct, 2022

Informative Bayesian Survival Analysis to Handle Heavy Censoring in Lifetime Data

Authors: Leadbetter, Ryan, Phatak, Aloke, Polpo, Adriano, Hodkiewicz, Melinda

Source: 2021 International Conference on Maintenance and Intelligent Asset Management (ICMIAM) Maintenance and Intelligent Asset Management (ICMIAM), 2021 International Conference on. :1-6 Dec, 2021

Relation: 2021 International Conference on Maintenance and Intelligent Asset Management (ICMIAM)

Comparison of Bayesian approaches for developing prediction models in rare disease: application to the identification of patients with Maturity-Onset Diabetes of the Young

Authors: Pedro Cardoso, Timothy J. McDonald, Kashyap A. Patel, Ewan R. Pearson, Andrew T. Hattersley, Beverley M. Shields, Trevelyan J. McKinley

Source: BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-17 (2024)

Subject Terms: MODY, Bayesian modelling, Rare diseases, Prior elicitation, Recalibration, Medicine (General), R5-920

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2288

Access URL: https://doaj.org/article/c97bb83cbf934f38bba047a2417f6b8e

Prior Robustness for Bayesian Implementation of the Fault Tree Analysis

Authors: Joshi, C., Ruggeri, F., Wilson, S.P.

Source: IEEE Transactions on Reliability IEEE Trans. Rel. Reliability, IEEE Transactions on. 67(1):170-183 Mar, 2018

Informative g-Priors for Mixed Models

Authors: Yu-Fang Chien, Haiming Zhou, Timothy Hanson, Theodore Lystig

Source: Stats, Vol 6, Iss 1, Pp 169-191 (2023)

Subject Terms: prior elicitation, g-priors, linear regression, Bayesian model selection, mixed models, variable selection, Statistics, HA1-4737

File Description: electronic resource

Relation: https://www.mdpi.com/2571-905X/6/1/11; https://doaj.org/toc/2571-905X

Access URL: https://doaj.org/article/49e892a46ce54894a0c1262db99fbd22

Bayesian Design in Clinical Trials

Contributors: Berchialla, Paola, Baldi, Ileana

Subject Terms: dose-escalation, combination study, modelling assumption, interaction, adaptive designs, adaptive randomization, Bayesian designs, clinical trials, predictive power, target allocation, Bayesian inference, highest posterior density intervals, normal approximation, predictive analysis, sample size determination, bayesian meta-analysis, clustering, binary data, priors, frequentist validation, Bayesian, rare disease, prior distribution, meta-analysis, sample size, bridging studies, distribution distance, oncology, phase I, dose-finding, dose–response, bayesian inference, prior elicitation, latent dirichlet allocation, clinical trial, power-prior, poor accrual, Bayesian trial, cisplatin, doxorubicin, oxaliplatin, dose escalation, PIPAC, peritoneal carcinomatosis, randomized controlled trial, causal inference, doubly robust estimation, propensity score, Bayesian monitoring, futility rules, interim analysis, posterior and predictive probabilities, stopping boundaries, Bayesian trial design, early phase dose finding, treatment combinations, optimal dose combination, History, Social and ethical issues

File Description: image/jpeg

Access URL: https://directory.doabooks.org/handle/20.500.12854/79674
https://mdpi.com/books/pdfview/book/5059

tPRiors |: a tool for prior elicitation and obtaining posterior distributions of true disease prevalence

Authors: Konstantinos Pateras, Polychronis Kostoulas

Source: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-10 (2022)

Subject Terms: Prevalence estimation, Prior elicitation, Bayesian, Pooled samples, Statistical modelling, JAGS, Medicine (General), R5-920

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2288

Access URL: https://doaj.org/article/e39deed190014e4caff3befb5cdae7c6

Informed Bayesian Inference for the A/B Test

Authors: Quentin F. Gronau, Akash Raj K. N., Eric-Jan Wagenmakers

Source: Journal of Statistical Software, Vol 100, Pp 1-39 (2021)

Subject Terms: model comparison, bayes factor, prior elicitation, bayesian estimation, Statistics, HA1-4737

File Description: electronic resource

Relation: https://www.jstatsoft.org/index.php/jss/article/view/3766; https://doaj.org/toc/1548-7660

Access URL: https://doaj.org/article/cd9b72a1b24642f98043586f3ac94397

A general method of prior elicitation in bayesian reliability analysis

Authors: Wang, Zhongming, Zhou, Hui

Source: 2009 8th International Conference on Reliability, Maintainability and Safety Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on. :415-419 Jul, 2009

Relation: 2009 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009)

Natural (Non-)Informative Priors for Skew-symmetric Distributions

Authors: DETTE, HOLGER, LEY, CHRISTOPHE, RUBIO, FRANCISCO

Source: Scandinavian Journal of Statistics, 2018 Jun 01. 45(2), 405-420.

Access URL: https://www.jstor.org/stable/26593413

Prior elicitation of the efficacy and tolerability of Methotrexate and Mycophenolate Mofetil in Juvenile Localised Scleroderma [version 1; peer review: 2 approved]

Authors: Thomas Jaki, Yasin Desai, Thomas Burnett, Michael W Beresford, Heidi Jacobe, Despina Eleftheriou, Suzanne Li, Valentina Leone, Athimalaipet V Ramanan, Pavel Mozgunov, Marina E Anderson, Kathryn S Torok, Tadej Avcin, Jordi Anton, Ivan Foeldvari, Jessie Felton, Flora McErlane, Bisola Laguda, Francesco Zulian, Lindsay Shaw, Clare E Pain

Source: AMRC Open Research, Vol 3 (2021)

Subject Terms: juvenile localised scleroderma, methotrexate, mycophenolate mofetil, Bayesian approach, prior elicitation, eng, Medicine

File Description: electronic resource

Relation: https://healthopenresearch.org/articles/3-20/v1; https://doaj.org/toc/2517-6900

Access URL: https://doaj.org/article/7b83534093a34529af0e5f6825761c33

Bayesian Inference under Partial Prior Information

Authors: Moreno, Elias, Bertolino, Francesco, Racugno, Walter

Source: Scandinavian Journal of Statistics, 2003 Sep 01. 30(3), 565-580.

Access URL: https://www.jstor.org/stable/4616784

Prior Induction in Log-Linear Models for General Contingency Table Analysis

Authors: King, R., Brooks, S. P.

Source: The Annals of Statistics, 2001 Jun 01. 29(3), 715-747.

Access URL: https://www.jstor.org/stable/2673969

On the Analysis of Accumulation Curves

Authors: Christen, J. Andrés, Nakamura, Miguel

Source: Biometrics, 2000 Sep 01. 56(3), 748-754.

Access URL: https://www.jstor.org/stable/2676917

Power Prior Distributions for Regression Models

Authors: Ibrahim, Joseph G., Chen, Ming-Hui

Source: Statistical Science, 2000 Feb 01. 15(1), 46-60.

Access URL: https://www.jstor.org/stable/2676676

Bayesian Analysis of Multivariate Mortality Data with Large Families

Authors: Chen, Ming-Hui, Dey, Dipak K., Sinha, Debajyoti

Source: Journal of the Royal Statistical Society. Series C (Applied Statistics), 2000 Jan 01. 49(1), 129-144.

Access URL: https://www.jstor.org/stable/2680865

Bayesian Analysis of the Prototypal Search Model

Authors: Kiefer, Nicholas M.

Source: Journal of Business & Economic Statistics, 1998 Apr 01. 16(2), 178-186.

Access URL: https://www.jstor.org/stable/1392573

Bayesian Methods in Extreme Value Modelling: A Review and New Developments

Authors: Coles, Stuart G., Powell, Elwyn A.

Source: International Statistical Review / Revue Internationale de Statistique, 1996 Apr 01. 64(1), 119-136.

Access URL: https://www.jstor.org/stable/1403426

Advances in Data Combination, Analysis and Collection for System Reliability Assessment

Authors: Wilson, Alyson G., Graves, Todd L., Hamada, Michael S., Reese, C. Shane

Source: Statistical Science, 2006 Nov 01. 21(4), 514-531.

Access URL: https://www.jstor.org/stable/27645792

On Describing Multivariate Skewed Distributions: A Directional Approach

Authors: Ferreira, José T. A. S., Steel, Mark F. J.

Source: The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2006 Sep 01. 34(3), 411-429.

Access URL: https://www.jstor.org/stable/20445212