Managing score heterogeneity between online consumer review websites by M. Martel–Escobar, C. González-Martel, F. J. Vázquez-Polo

“…We approach this issue by considering tests of multiple population means, assuming this question can be viewed as a clustering problem and that all feasible data configurations can be tested using a Bayesian procedure from which the posterior probabilities of each cluster model are computed. …”
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Non-Parametric Mixture Model Based Evolution of Level Sets and Application to Medical Images by Joshi, N, Brady, M

“…The log ratio of the posterior probabilities is used to drive the level set evolution. …”

Colocalization analysis of polycystic ovary syndrome to identify potential disease-mediating genes and proteins by Censin, JC, Bovijn, J, Holmes, MV, Lindgren, CM

“…We evaluated the posterior probabilities of evidence consistent with shared causal variants between 14 PCOS genetic risk loci and intermediate cellular phenotypes in one protein (N = 3301) and two expression quantitative trait locus datasets (N = 31,684 and N = 80–491). …”

Interregional Effects of Innovations in Russia: Analysis from the Bayesian Perspective by Dmitrii Sergeevich Tereshchenko

“…Using panel data on Russian regions for the period from 2000 to 2021, the author calculates posterior probabilities for a set of spatial regression models that model interregional effects of innovation in different ways. …”
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Project Cost Overrun Risk Prediction Using Hidden Markov Chain Analysis by Sou-Sen Leu, Yanni Liu, Pei-Lin Wu

“…One SRC building project in Taiwan was used for model validation and comparison. The posterior probabilities from the real-time HMM model were highly consistent with the cost overrun ratios of real construction projects. …”
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A Decision Support System for Organizing Quality Control of Buildings Construction during the Rebuilding of Destroyed Cities by Azariy Lapidus, Aleksandr Makarov, Anastasiia Kozlova

“…The weights of the links are represented by posterior probabilities of damage calculated using the Bayes’ theorem in the pre-training stage. …”
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A Bayesian model selection approach to mediation analysis. by Wesley L Crouse, Gregory R Keele, Madeleine S Gastonguay, Gary A Churchill, William Valdar

“…Our approach reports posterior probabilities that can be useful in interpreting uncertainty among competing models. …”
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Maximum likelihood approach suggests positive selection in platelet integrin αIIbβ3 in mammalian species by Luís Bernardo Pina-Cabral, Miguel Carneiro, Begoña Criado, Pedro José Esteves

“…Four codons in mature αIIb-subunit (corresponding to residues 150, 184, 193, and 370) and three codons in mature β3-subunit (corresponding to residues 129, 440, and 444) showed signs of positive selection with posterior probabilities over 95%. The different amino acids observed for each of the positively selected residues detected showed different physicochemical properties. …”
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SparsePro: An efficient fine-mapping method integrating summary statistics and functional annotations. by Wenmin Zhang, Hamed Najafabadi, Yue Li

“…In this work, we build connections between SuSiE and a paired mean field variational inference algorithm through the implementation of a sparse projection, and propose effective strategies for estimating hyperparameters and summarizing posterior probabilities. Moreover, we incorporate functional annotations into fine-mapping by jointly estimating enrichment weights to derive functionally-informed priors. …”
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Ancestral inference and the study of codon bias evolution: implications for molecular evolutionary analyses of the Drosophila melanogaster subgroup. by Hiroshi Akashi, Piyush Goel, Anoop John

“…Maximum parsimony inference, which has been widely employed in analyses of Drosophila codon bias evolution, was compared to an approach that attempts to account for uncertainty in ancestral inference by weighting ancestral reconstructions by their posterior probabilities. The latter approach employs maximum likelihood estimation of rate and base composition parameters. …”
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Descriptor extraction on inherent creep strength of carbon steel by exhaustive search by Junya Sakurai, Masahiko Demura, Yoh-ichi Mototake, Masato Okada, Masayoshi Yamazaki, Junya Inoue

“…A comparison among the Bayesian posterior probabilities of the candidate models showed that the Mo-only model has a predominantly high posterior probability of 79.76% compared with the other models. …”
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Robust synthetic control by Shen, Dennis, Ph. D. Massachusetts Institute of Technology

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A Bayesian inference theory of attention: neuroscience and algorithms by Chikkerur, Sharat, Serre, Thomas, Poggio, Tomaso

“…Visual recognition proceeds by estimating the posterior probabilities for objects and their locations within an image via an exchange of messages between ventral and parietal areas of the visual cortex. …”
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Phylogenetic relationships within the genus holothuria inferred from 16s mitochondiral rRNA gene sequences by Kamarudin, Kamarul Rahim, Mohamed Rehan, ‘Aisyah, Hashim, Ridzwan, Usup, Gires, Mohamed Rehan, Maryam

“…Subgenera of Holothuria, Merthensiothuria and Metriatyla are monophyletic with strong bootstrap supports and posterior probabilities of clades, thus strengthening their morphological taxonomies. …”
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Multiscale Superpixel-Based Fine Classification of Crops in the UAV-Based Hyperspectral Imagery by Shuang Tian, Qikai Lu, Lifei Wei

“…For the post-processing strategy, the pixel-wise classification is implemented to obtain the label and posterior probabilities of each pixel. Subsequently, the superpixel-based voting is conducted at each scale, and these obtained voting results are fused to generate the multiscale voting result. …”
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Choice of observation type affects Bayesian calibration of Greenland Ice Sheet model simulations by D. Felikson, D. Felikson, S. Nowicki, I. Nias, B. Csatho, A. Schenk, M. J. Croteau, B. Loomis

“…More importantly for risk-averse sea-level planning, posterior probabilities of high-end mass change scenarios are highly sensitive to the observation selected for calibration. …”
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Hemolivia species infecting Central American wood turtles (Rhinoclemmys pulcherrima manni) and problems with differential diagnosis within the genus Hemolivia by Živčicová Žaneta, Kvičerová Jana, Široký Pavel

“…Their phylogenetic position was supported by high bootstrap values and high posterior probabilities, suggesting that there are at least two new distinct haplotypes corresponding to two distinct species. …”
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Complete chloroplast genome sequences of Myristicaceae species with the comparative chloroplast genomics and phylogenetic relationships among them. by Changli Mao, Fengliang Zhang, Xiaoqin Li, Tian Yang, Qi Zhao, Yu Wu

“…Phylogenetic analysis showed that all Knema species were clustered in the same group and formed a sister clade with Myristica species support by both high maximum likelihood bootstrap values and Bayesian posterior probabilities; among Horsfieldia species, Horsfieldia amygdalina (Wall.) …”
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Assessing Evidence for Weather Regimes Governing Solar Power Generation in Kuwait by Mari R. Tye, Sue Ellen Haupt, Eric Gilleland, Christina Kalb, Tara Jensen

“…A three-component Gaussian distribution is developed that reproduces the observed multimodal peaks in sky clearness indices, and their temporal distribution. Posterior probabilities from the fitted mixture distributions are used to identify periods of clear, partially-cloudy, and cloudy skies. …”
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Molecular data reveal a new species of Rhopalias Stiles & Hassall, 1898 (Digenea, Echinostomatidae) in the Common opossum, Didelphis marsupialis L. (Mammalia, Didelphidae)... by Jorge López-Caballero, Rosario Mata-López, Gerardo Pérez-Ponce de León

“…All phylogenetic analyses showed that the specimens from Yucatán represented a monophyletic lineage, with high bootstrap support and Bayesian posterior probabilities. In addition, the genetic divergence estimated between R. oochi sp. nov. and two species of Rhopalias, R. coronatus, and R. macracanthus Chandler, 1932 that also occur in Mexican marsupials ranged between 7–8% and 16–17%, for cox1, and between 0.1–0.2% and 7% for the ITS region, respectively. …”
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