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Bayes factors for detection of Quantitative Trait Loci
Genetics Selection Evolution, 2001 A fundamental issue in quantitative trait locus (QTL) mapping is to determine the plausibility of the presence of a QTL at a given genome location. Bayesian analysis offers an attractive way of testing alternative models (here, QTL vs.
Pérez-Enciso Miguel +2 more
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ANALISIS KESALAHAN DALAM MENYELESAIKAN SOAL TEOREMA BAYES [PDF]
, 2022 Penelitian ini bertujuan mengidentifikasi dan menemukan penyebab mahasiswa melakukan kesalahan dalam menyelesaikan soal Teorema Bayes. Penelitian ini termasuk kualitatif deskriptif.
Aini, Septi Dariyatul, Nuritasari, Fetty
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Implementasi Naives Bayes-Certainty Factor untuk Diagnosa Penyakit Menular
Jurnal Sisfokom, 2020 One type of pet is Chicken (Gallus gallus domesticus). Chickens are the result of the domestication of red jungle fowl (Gallus gallus) which is most commonly kept throughout the world. These animals include animals that are easily maintained because they
Yudi Eko Windarto, Marfuah Marfuah
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BFpack: Flexible Bayes Factor Testing of Scientific Theories in R
Journal of Statistical Software, 2021 There have been considerable methodological developments of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields.
Joris Mulder +13 more
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Neyman–Pearson lemma for Bayes factors [PDF]
Communications in Statistics - Theory and Methods, 2021 8 ...
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Estimating Bayes factors via thermodynamic integration and population MCMC [PDF]
, 2009 A Bayesian approach to model comparison based on the integrated or marginal likelihood is considered, and applications to linear regression models and nonlinear ordinary differential equation (ODE) models are used as the setting in which to elucidate and
Calderhead, B., Girolami, M.
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Scientific Journal of Informatics, 2018 Expert system is computer programs that mimic the thought process and expert knowledge in solving a particular problem. Basically, an expert system has various methods to diagnose various kinds of diseases experienced by humans, animals, and plants. This
Khairina Eka Setyaputri +2 more
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Default Priors in a Zero-Inflated Poisson Distribution: Intrinsic Versus Integral Priors
MathematicsPrior elicitation is an important issue in both subjective and objective Bayesian frameworks, where prior distributions impose certain information on parameters before data are observed.
Junhyeok Hong, Kipum Kim, Seong W. Kim
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Replication data for: A Comparison of Bayes Factor Approximation Methods Including Two New Methods
, 2012 Bayes factors (BFs) play an important role in comparing the fit of statistical models. However, computational limitations or lack of an appropriate prior sometimes prevent researchers from using exact BFs.
Kenneth A. Bollen +3 more
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Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing [PDF]
advances.in/psychologyBayesian analysis methods provide a significant advancement in network psychometrics, allowing researchers to use the edge inclusion Bayes factor for testing conditional independence between pairs of variables in the network.
Nikola Sekulovski +3 more
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