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Publication Date
Mon Feb 01 2021
Journal Name
Journal Of Physics: Conference Series
Volume
1804
DOI
10.1088/1742-6596/1804/1/012073
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oBe1uI4BVTCNdQwCyFf7
Bayesian Computational Methods of the Logistic Regression Model
Najla A. Al-Khairullah
Tasnim Hasan Kadhim Albaldawi
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Abstract<p>In this paper, we will discuss the performance of Bayesian computational approaches for estimating the parameters of a Logistic Regression model. Markov Chain Monte Carlo (MCMC) algorithms was the base estimation procedure. We present two algorithms: Random Walk Metropolis (RWM) and Hamiltonian Monte Carlo (HMC). We also applied these approaches to a real data set.</p>
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