Showing 81 - 92 results of 92 for search '"Bayesian model"', query time: 0.03s Refine Results
  1. 81

    Individual differences in event experiences and psychosocial factors as drivers for perceived linguistic change following occupational major life events by Wirtz Mason A., Pickl Simon, Pfenninger Simone E.

    Published 2025-02-01
    “…We analyzed survey data from 154 German-speaking adults in Austria who experienced (at least) one of these career-related MLEs. Results from Bayesian modeling showed that individual differences in event experiences (e.g., how stressful an MLE is perceived, how damaging an MLE is for one’s social status) alongside social factors such as varietal proficiency affect the degree of perceived MLE-related change in the sociolinguistic repertoire. …”
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  2. 82

    Bayesian Estimation for the Doubly Censored Topp Leone Distribution using Approximate Methods and Fuzzy Type of Priors by Navid Feroze, Ali Al-Alwan, Muhammad Noor-ul-Amin, Shajib Ali, R. Alshenawy

    Published 2022-01-01
    “…The Fuzzy priors can be used as prior information in the Bayesian models. This paper considers the posterior analysis of TLD, when the samples are doubly censored. …”
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  3. 83

    Inference of a three-gene network underpinning epidermal stem cell development in Caenorhabditis elegans by Alicja Brożek, Arianna Ceccarelli, Andreas Christ Sølvsten Jørgensen, Mark Hintze, Vahid Shahrezaei, Michalis Barkoulas

    Published 2025-02-01
    “…We validate its significance at the L1 stage with ordinary differential equations and Bayesian modeling, making testable predictions for a double mutant. …”
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  4. 84

    Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network. by Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji

    Published 2025-01-01
    “…A relationship between locations based on logistics connectivity is assumed rather than the spatial correlation based on the geographical distance used in the past. Hierarchical Bayesian models integrating data through the network were implemented for two fire ant species (Solenopsis invicta and Solenopsis geminata) observed in Japanese ports. …”
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    Article
  5. 85

    The Heating Efficiency of Hot Jupiters from a Data-driven Perspective by Sheng Jin, Dong-Hong Wu, Yi-Xuan Cao, Zi-Yi Guo

    Published 2025-01-01
    “…By connecting planetary thermal evolution models with the observed properties of hot Jupiters using hierarchical Bayesian models, a theoretical parameter called the heating efficiency has been introduced to describe the heating of the interiors of these planets. …”
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  6. 86

    Population Dynamics of the Exotic Flatworm Obama nungara in an Invaded Garden by Shanèze Noël, Yoan Fourcade, Virginie Roy, Georges Bonnet, Lise Dupont

    Published 2025-01-01
    “…Daily monitoring data revealed high population size fluctuations that may be explained by meteorological factors as well as intra‐ and inter‐specific interactions. Bayesian modeling confirmed that O. nungara's abundance fluctuates depending on temperature, humidity, and precipitation. …”
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  7. 87

    Frugivore Traits Predict Plant–Frugivore Interactions Using Generalized Joint Attribute Modeling by Laurel R. Yohe, Leith B. Leiser‐Miller, Zofia A. Kaliszewska, Susan R. Whitehead, Sharlene E. Santana, Liliana M. Dávalos

    Published 2025-01-01
    “…We used generalized joint attribute modeling (GJAM), a Bayesian modeling approach that simultaneously accounts for multiple sources of variance across trait types. …”
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    Article
  8. 88

    Multiple Dimensions Define Thresholds for Population Resilience of the Eastern Oyster, Crassostrea virginica by Megan K. La Peyre, Hongqing Wang, Shaye E. Sable, Wei Wu, Bin Li, Devin Comba, Carlos Perez, Melanie Bates, Lauren M. Swam

    Published 2025-01-01
    “…Two statistical approaches were applied, with each model highlighting a different operational definition of a threshold: random forest models identified a threshold as an abrupt change in the oyster abundance‐ salinity relationship, while Bayesian models identified an increased probability of oyster abundance dropping below a critical threshold, defined here as less than 50% of the 5‐year mean. …”
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  9. 89

    What motivates West African cocoa farmers to value trees? Taking the 4 W approach to the heart of the field by Marie Ruth Dago, Irié Casimir Zo‐Bi, Isaac Kouamé Konan, Aimé Kouadio Kouassi, Stéphane Guei, Patrick Jagoret, Anny Estelle N'Guessan, Elsa Sanial, Chloé Tankam, Soulemane Traoré, Bruno Hérault

    Published 2025-01-01
    “…Drawing from a sample of 150 farmers responsible for the management of 12,096 trees, we quantified the motivations of farmers for 10 material and immaterial uses of trees and used a Bayesian modelling framework to explore the relative importance of the 4 W framework in explaining general motivations, specific to each use, as well as the varying levels of specialization in tree management strategies among farmers. …”
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  10. 90

    Bayesian Estimation of the True Bovine Brucellosis Prevalence in Vaccinated and Non-Vaccinated Ecuadorian Cattle Populations, and the Sensitivity and Specificity of a Competitive a... by Ana Dolores Garrido Haro, Margoth Yolanda Barrionuevo Samaniego, Paola Moreno-Caballeros, Alexandra Burbano-Enríquez, Verónica Alexandra Salas Torres, María Cristina Galante Mulki, Constance Wielick, Jorge Ron-Román, Claude Saegerman

    Published 2025-01-01
    “…The Se of both tests was similar across Bayesian models, with values around 94%. In contrast, the Sp of the iELISA, ranging between 97 and 98%, was significantly higher than that of the cELISA, which was approximately 94–95%. …”
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  11. 91

    Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity by H. Chen, Q. Liang, J. Zhao, S. B. Maharjan

    Published 2025-02-01
    “…In the innovative framework, multi-temporal imagery is utilised with a random forest model to extract glacial lake water surfaces. Bayesian models are employed to estimate a plausible range of glacial lake water volumes and the associated GLOF peak discharges while accounting for the uncertainty stemming from the limited sizes of the available data and outliers within the data. …”
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  12. 92

    Patterns of interpopulation variation and physiological trade-offs of the acute thermal tolerance of juvenile Chinook salmon (Oncorhynchus tshawytscha) by Kenneth W. Zillig, Kenneth W. Zillig, Heather N. Bell, Alyssa M. FitzGerald, Alyssa M. FitzGerald, Nann A. Fangue

    Published 2025-01-01
    “…Acclimation capacity was determined as the maximum difference in CTMAX between fish acclimated to 11°C and 20°C during their second trial, capturing the full acclimatory scope. Bayesian models were employed to test the thermal trade-off hypothesis, which posits that individuals or populations with higher thermal tolerance have reduced capacity for acclimation. …”
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