We show that currently prevalent practices for network path measurements can produce inaccurate inferences because of sampling biases. The inferred mean path latency can be more t...
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved re...
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Transit agencies implement limited-stop (express) bus services as a mean to provide an attractive and competitive transportation mode when compared to the automobile. In 2008, the ...