• Markov Chain Monte Carlo Models & Algorithms to Enable Bayesian Inference Modeling • OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk • Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation • Models Validation ...
2.2. Sparse Bayesian Extreme Learning Machine (SBELM) SBELM learns the output weights by using Bayesian inference. For a two-class clas- sification problem, the probability of each training sample is expressed as P(t|x). The likelihood function can be represented as: P(t|β, h) = ∏N...
Exact prior-free probabilistic inference on the heritability coefficient in a linear mixed model. Electron. J. Stat. 2014, 8, 3062–3076. [CrossRef] 11. Hu, X.; Waller, L.A.; Al-Hamdan, M.Z.; Crosson, W.L.; Estes Jr, M.G.; Estes, S.M.; Quattrochi, D.A.; Sarnat, J....