This article concerns with the problem of monitoring incidence rates of the Poisson distribution when sample size varies over time.Recently, a couple of cum
Feature selection is applied to reduce the number of features and improve the classification accuracy simultaneously in text classification.Most feature sel
Stochastic models, diffusion models in particular, are widely used in science, engineering and economics.Inferring the parameter values from data is often c
The analysis of high-dimensional data sets now commonly arising in scientific inves-tigations poses many statistical challenges not present in smaller scale
We address the issue of variable selection in tle regression model with very high ambient dimension, i.e., when the number of covariates is very large.The m