Kwara State University
Saidat Olaniran
Designation: Lecturer II
Department: Statistics and Mathematical Sciences
| My Publications | ||||||||
|---|---|---|---|---|---|---|---|---|
| S/N | Title | Abstract | Authors | Volume Numbers | Publication Type | Publication Date | Link | |
| 1 | Improved Bayesian Feature Selection And Classification Methods Using Bootstrap Prior Techniques. |
In this paper, the behavior of feature selection algorithms using the traditional t-test, Bayesian t-test using MCMC and Bayesian two-sample test using the proposed bootstrap prior technique were determined. In addition, we considered some frequentist classification methods like k-Nearest Neighbor (k-NN), Logistic Discriminant (LD), Linear discriminant analysis (LDA), Quadratic discriminant analysis (QDA), and Naïve Bayes when conditional independence assumption is violated. Two new Bayesian classifiers (B-LDA and B-QDA) were developed within the framework of LDA and QDA using the bootstrap prior technique. The model parameters were estimated using the Bayesian approach via the posterior distribution that involves normalizing the prior for the attributes and the likelihood from the sample in a Monte-Carlo experiment. The bootstrap prior technique was incorporated into the Normal-Inverse-Wishart natural conjugate prior for the parameters of the multivariate normal distribution where the scale and location parameters were required. All the classifiers were implemented on the simulated data at 90:10 training-test data ratio. | Olaniran, O. R., Olaniran, S. F., Yahya, W. B., Banjoko, A. W., Garba, M. K., Amusa, L. B., & Gatta, N. F. | Vol XIV fasc 2-2016 | International | 2016-12-01 | chromeextension://efaidnbmnnnibpcajpcglclefindmkaj/http://www.anale-informatica.tibiscus.ro/download/lucrari/14-2-07-Olaniran.pdf | |