GHOSH, Model selection and multiple testing - A Bayes and empirical Bayes overview and some new results, Journal of the Indian Statistical Association, 50, pp. 105-142, 2012.R. Dutta, M. Bogdan, and J. K. Ghosh, "Model selection and multiple testing--A Bayesian and empirical Bayes ...
In this work, an empirical Bayes method was applied to estimate highly parameterized transmissivity fields in 2D aquifers under conditions of steady flow. The Bayesian inverse procedure was coupled with the Akaike’s Bayesian information criterion to identify both the main transmissivity field and the ...
With PA and NA scales that areempirically correlated—as is often the case in recent studies—Neuroticism tends to predict PA (negatively), and Extraversion tends to predict NA (negatively). This opens up the possibility that the effects of these two personality traits may be fully mediated by ...
LDA, Linear Discriminant Analysis; LR, Logistic Regression; GNB, Gaussian Naïve Bayes; CART, Classification And Regression Trees; KNN, K-Nearest Neighbors; SVM, Support Vector Machine; RF, Random Forest; XGB, Extreme Gradient Boosting; MLP, Multi-Layer Perceptron. c Denotes model accuracy signif...
we used (eq. 4) is closely related to the naïve Bayes method and is discussed further in Dickerson et al. ([52] section 2.3.3) and Berleant [53]. For additional discussion see Zhang et al. [32], Manning et al. ([54], sections 11.1, 11.3) and Davis ([55], pp. 128-130)....
In the comparisons between the two Bayesian regularized methods, Lasso Bayes consistently outperformed the Ridge Bayes method across all the three traits, demonstrating superior predictive accuracy and generally smaller prediction errors. Table 6 Range of the estimated predictive accuracies across the ...
[58], whereqrepresents the number of additional parameters involved in adding a changepoint. More complex penalty methods, such as modified Bayesian information criterion (mBIC [59]), take into account the length of the segments. Although these common choices have good theoretical properties, they...
Combining evidence: the naïve Bayes model vs. semi-naïve evidence combination. 2004, http://ualr.edu/jdberleant/papers/seminaivemodel.pdf, Google Scholar Manning CD, Raghavan R, Schütze H: Introduction to Information Retrieval. 2008, Cambridge University Press Book Google Scholar Davis E...
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective. [paper] Keitaro Sakamoto, Issei Sato. NeurIPS 2022 Key Word: Lottery Ticket Hypothesis; PAC-Bayes. Digest We confirm this hypothesis and show that the PAC-Bayesian theory can provide an explicit understanding of the relationship...
Key Word: Lottery Ticket Hypothesis; PAC-Bayes. Digest We confirm this hypothesis and show that the PAC-Bayesian theory can provide an explicit understanding of the relationship between LTH and generalization behavior. On the basis of our experimental findings that flatness is useful for improving ac...