APPLICATION OF BAYESIAN METHOD ON GAUSSIAN LINEAR MIXED MODEL
In general, regression analysis is defined as an analysis of the dependence of a variable on other variables, namely the independent variables (predictor) in order to make estimates or predictions of the value of the dependent variable (response) if the value of the independent variables (predictor)...
محفوظ في:
المؤلف الرئيسي: | Vantika, Sandy |
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التنسيق: | Dissertations |
اللغة: | Indonesia |
الوصول للمادة أونلاين: | https://digilib.itb.ac.id/gdl/view/39410 |
الوسوم: |
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المؤسسة: | Institut Teknologi Bandung |
اللغة: | Indonesia |
مواد مشابهة
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Mixing of linear operators under non-Gaussian measures
بواسطة: Mau, Camille
منشور في: (2025) -
NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
بواسطة: YU HAIBIN
منشور في: (2020) -
Automatic Bayesian model averaging for linear regression and applications in Bayesian curve fitting
بواسطة: Liang, F., وآخرون
منشور في: (2014) -
HIDDEN MARKOV MODEL (HMM) IS APPLIED TO THE CASE OF MUTATION OF HUMAN MITOCHONDRIAL DNA. A TOTAL OF 25 SAMPLES WERE TAKEN AT RANDOM FROM THE 100 SEQUENCES OF HUMAN MITOCHONDRIAL DNA. FROM EACH SAMPLE, THE EMISSION MATRICES AND THE TRANSITION MATRICES WERE DETERMINED. FURTHERMORE, THE VITERBI ALGORITHM IS USED TO FIND THE OPTIMAL HIDDEN STATE SEQUENCE (MUTATION / NORMAL). THIS ALGORITHM SHOWS THAT THERE IS NO MUTATION THAT ARISE IN EACH SAMPLE. FURTHERMORE, THE LEVEL OF UNCERTAINTY OF THE MODELS WERE OBTAINED WITH A VARIETY ENTROPY BETWEEN 7.1735 TO 49.7388. THERE ARE 3 MODELS WHICH HAVE ENTROPY 7.1735 AND 1 MODEL WHICH HAS ENTROPY 49.7388.
بواسطة: Vantika, Sandy -
Two-stage Bayesian system identification using Gaussian discrepancy model
بواسطة: Zhang, Feng-Liang, وآخرون
منشور في: (2020)