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Structural and parametric uncertainties in full Bayesian and graphical lasso based approaches: Beyond edge weights in psychological networks

Gabor Hullam, Gabriella Juhasz, Bill Deakin, Peter Antal
2017 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)  
Although the computational efficiency of graphical lasso based approaches has prompted growing number of applications, the restrictive assumptions of this approach are frequently ignored, such as its lack  ...  Uncertainty over model structures poses a challenge for many approaches exploring effect strength parameters at system-level.  ...  The sponsors funded the work, but had no further role in the design of the study, in data collection or analysis, in the decision to publish, or in the preparation, review, or approval of the manuscript  ... 
doi:10.1109/cibcb.2017.8058566 dblp:conf/cibcb/HullamJDA17 fatcat:a67mkpbvwbeyzhot3iwxj6tjwi

Bayesian Analysis of the Weibull Paired Comparison Model Using Numerical Approximation

Khalil Ullah, Muhammad Aslam, Hijaz Ahmad
2020 Journal of Mathematics  
The results show that the paired comparison model under the study using Bayesian approach involving various loss functions can offer mathematical approach to evaluate cellphone brand preferences.  ...  The method of paired comparisons (PC) is widely used to rank items using sensory evaluations. The PC models are developed to provide basis for such comparisons.  ...  A huge amount of literature is available on the subject. Abbas and Aslam [1] analyzed the Pareto model under paired comparison techniques by using classical and Bayesian framework.  ... 
doi:10.1155/2020/6628379 fatcat:3w2j5bkbcfbwdbyswshieb2eyu

Bayesian Best-Worst Method: A Probabilistic Group Decision Making Model

Majid Mohammadi, Jafar Rezaei
2019 Omega : The International Journal of Management Science  
The confidence which is computed based on a proposed Bayesian model shows the extent to which one is certain about the relation of the corresponding pair of criteria.  ...  The credal ranking of criteria is developed based on which each pair of criteria are assigned a relation and a confidence.  ... 
doi:10.1016/j.omega.2019.06.001 fatcat:ym5ybi5frja65f4euq4sbtu7dq

Using Bayesian network and AHP method as a marketing approach tools in defining tourists' preferences

Natasa Papic-Blagojevic, Tamara Gajic, Nenad Djokic
2012 Turizam  
On the other hand, the analytic hierarchy process (AHP) is used to rank tourist attractions, with also relying on past experience.  ...  In this paper we examine possible applications of these two models in tourism in Serbia. The example is hypothetical, but it will serve as a base for future research.  ...  Based on the above Bayesian network, we decided to create AHP model in order to evaluate tourists' satisfaction.  ... 
doi:10.5937/turizam1201008p fatcat:sf4y56k4nbaarl6igc27hltgxm

Page 871 of Behavior Research Methods Vol. 45, Issue 3 [page]

2013 Behavior Research Methods  
Penalized loss functions for Bayesian model comparison. Biostatistics, 9, 523-539. Plummer, M. (2011). rjags: Bayesian graphical rrurdels using MCMC.  ...  JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling.  ... 

Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets

Shweta Kharya, Edeh Michael Onyema, Aasim Zafar, Mohd Anas Wajid, Rockson Kwasi Afriyie, Tripti Swarnkar, Sunita Soni, Abdul Rehman Javed
2022 Computational Intelligence and Neuroscience  
New automated ranking method was used to assign proper weights to attribute value pair based on their impact on causing the disease.  ...  So an effective computational approach is needed to develop a predictive model which will help patients and physicians to manage the situation timely.  ...  Weighted Approach Using Bayes theorem Based on Ranking Method. e current framework consists of three phases for weight assignments to attributes.  ... 
doi:10.1155/2022/3813705 pmid:35909874 pmcid:PMC9328988 fatcat:o4y7pputyjaebbphgqlryicuma

BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation

Huifeng GUO, Dianhui CHU, Yunming YE, Xutao LI, Xixian FAN
2016 IEICE transactions on information and systems  
BLM-Rank, which uses a linear function to score samples and models the pairwise preference of samples relying on their scores under a Bayesian framework.  ...  A stochastic gradient approach is adopted to maximize the posterior probability in BLM-Rank. For industrial practice, we have also implemented the proposed algorithm on Graphic Processing Unit (GPU).  ...  Our main contributions in this paper can be summarized as the following three folds: • We propose a new linear learning to rank method based on Bayesian Personalized Ranking criterion.  ... 
doi:10.1587/transinf.2015dap0001 fatcat:2ks7pyjdv5h35asfqcbnsvdkeq

Network-Based Identification of Biomarkers Coexpressed with Multiple Pathways

Nancy Lan Guo, Ying-Wooi Wan
2014 Cancer Informatics  
Here, we give a comprehensive overview of computational methods used for biomarker identification, and provide a performance comparison of several network models used in studies of cancer susceptibility  ...  Unraveling complex molecular interactions and networks and incorporating clinical information in modeling will present a paradigm shift in molecular medicine.  ...  Another example is a method known as pathway recognition algorithm using data integration on a genomic model (PARADIGM). 142 PARADIGM employs a probabilistic graphical model based on factor graphs to  ... 
doi:10.4137/cin.s14054 pmid:25392692 pmcid:PMC4218687 fatcat:kgxtqqip7nazpjckldlieaipgu

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback [chapter]

Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu
2016 Lecture Notes in Computer Science  
To address this problem, we propose collaborative deep ranking (CDR), a hybrid pair-wise approach with implicit feedback, which leverages deep feature representation of item content into Bayesian framework  ...  of pair-wise ranking model in this paper.  ...  into Bayesian framework of pair-wise ranking model.  ... 
doi:10.1007/978-3-319-31750-2_44 fatcat:hb6oty4ntrhabccfmgcju5iuoa

Supplemental Material, Appendix_1_-_PRISMA_NMA_checklist - Comparative Efficacy and Tolerability of Adjunctive Pharmacotherapies for Acute Bipolar Depression: A Systematic Review and Network Meta-analysis: Efficacité Et Tolérabilité Comparatives Des Pharmacothérapies D'appoint Pour La Dépression Bipolaire Aiguë: Une Revue Systématique Et Une Méta-Analyse De Réseau

Anees Bahji, Dylan Ermacora, Callum Stephenson, Emily R. Hawken, Gustavo Vazquez
2020 Figshare  
Supplemental Material, Appendix_1_-_PRISMA_NMA_checklist for Comparative Efficacy and Tolerability of Adjunctive Pharmacotherapies for Acute Bipolar Depression: A Systematic Review and Network Meta-analysis  ...  This should include how the evidence base has been graphically summarized for presentation, and what characteristics were compiled and used to describe the evidence base to readers.  ...  Also describe the use of additional summary measures assessed, such as treatment rankings and surface under the cumulative ranking curve (SUCRA) values, as well as modified approaches used to present summary  ... 
doi:10.25384/sage.13228179.v1 fatcat:73236k4525cw7f7a6mv4k5unjy

Ranking relations using analogies in biological and information networks

Ricardo Silva, Katherine Heller, Zoubin Ghahramani, Edoardo M. Airoldi
2010 Annals of Applied Statistics  
Our approach combines a similarity measure on function spaces with Bayesian analysis to produce a ranking.  ...  We develop an approach to relational learning which, given a set of pairs of objects S={A^(1):B^(1),A^(2):B^(2),...,A^(N):B ^(N)}, measures how well other pairs A:B fit in with the set S.  ...  We would like to thank the anonymous reviewers and the editor for several suggestions that improved the presentation of this paper, and for additional relevant references.  ... 
doi:10.1214/09-aoas321 pmid:24587838 pmcid:PMC3935415 fatcat:x7l4dyuhajhcdbhw4jqzmvfzsy

Construction of a gene-gene interaction network with a combined score across multiple approaches

A.M. Zhang, H. Song, Y.H. Shen, Y. Liu
2015 Genetics and Molecular Research  
The values of topological parameters, such as clustering coefficient and the fitting coefficient R 2 of interaction network constructed using our ranked based combination score, were much greater than  ...  The combined network had a classic small world property which transferred information quickly and displayed great resilience to the dysfunction of low-degree hubs with high-clustering and short average  ...  Considering the faults of predicted outcomes involving the EB model and STRING approach, we converted and united all scores from the three methods using a rank based model and obtained a combined score  ... 
doi:10.4238/2015.june.26.11 pmid:26125911 fatcat:kluajqw2anhgjeu55zyjc7umy4

A Composite Likelihood View for Multi-Label Classification

Yi Zhang, Jeff G. Schneider
2012 Journal of machine learning research  
Pairwise label comparisons, which seem to be a natural choice for subproblems, are replaced by bivariate label densities, which are more informative and natural components in a composite likelihood.  ...  In this paper we show the connection between composite likelihoods [17] and many multilabel decomposition methods, e.g., one-vs-all, one-vs-one, calibrated label ranking, probabilistic classifier chain  ...  label comparison to rank all the labels. • Calibrated label ranking (CLR): combine both pairwise comparison and one-vs-all classifiers. • Classifier chain (CC): a chain of classifiers to model conditional  ... 
dblp:journals/jmlr/ZhangS12 fatcat:73qrvww4kjailkftkgtjnabejm

Bayesian video search reranking

Xinmei Tian, Linjun Yang, Jingdong Wang, Yichen Yang, Xiuqing Wu, Xian-Sheng Hua
2008 Proceeding of the 16th ACM international conference on Multimedia - MM '08  
Content-based video search reranking can be regarded as a process that uses visual content to recover the "true" ranking list from the noisy one generated based on textual information.  ...  on the disagreement in terms of pair-wise orders.  ...  The graphical model representation of pair-wise distance is illustrated in Figure 5 . Before further discussing pair-wise approach, we firstly define the notation r.  ... 
doi:10.1145/1459359.1459378 dblp:conf/mm/TianYWYWH08 fatcat:d2j2xsawfjcvpkm7r6j5ktqp3i

Bayesian Paired-Comparison with the bpcs Package [article]

David Issa Mattos, Érika Martins Silva Ramos
2021 arXiv   pre-print
This package aims to facilitate the use of Bayesian models for paired comparison data in behavioral research.  ...  This article introduces the bpcs R package (Bayesian Paired Comparison in Stan) and the statistical models implemented in the package.  ...  The authors would like to thank L. Hopper for revising the results of the second reanalysis and G. Marton for revising the results of the third reanalysis.  ... 
arXiv:2101.11227v4 fatcat:7u4t2xptjrb4foqdzq3ucux6zm
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