In this paper, a full Bayesian weighted probabilistic model is developed for random
classification trees. The new model Bayesian Weighted Random Classification Forest …

This paper examines the distribution of eigenvalues for a 2× 2 random confusion matrix
used in machine learning evaluation. We also analyze the distributions of the matrix's trace …

Internet traffic data such as the number of transmitted packets and time spent on the
transmission of Internet protocols (IPs) have been shown to exhibit self-similar property …

Asymptotic theories for fractional cointegrations have been extensively studied in the context
of time series data, with numerous empirical studies and tests having been developed …

Fractional cointegration in time series data has been explored by several authors, but panel
data applications have been largely neglected. A previous study of ours discovered that the …

An important aspect of improving software system is testing. However, it is time demanding
and sometimeslabour intensive if done manually. In this paper, we developed an automatic …

The Weibull, log-logistic and log-normal distributions represent the heavy-tailed distributions
that are often used in modelling time-to-event data. While the loglogistic and log-normal …

In this paper, the sparse variable selection problem is considered for the Gaussian linear
models. Varying forms of nonconvex penalties have been investigated for solving sparse …

High-intensity concurrent arrivals of request packets in Internet traffic can cause
dependence of event-to-event-times of the requests being served, which causes non …

Abstract The Artificial Neural Network Autoregressive model (ANN-AR) is a recently adopted
approach for forecasting Naira to the USD exchange rate. The Bayesian Regularized Neural …