Classic bilevel programming deals with two level hierarchical optimization problems in which the leader attempts to optimize his/her objective, subject to a set of constraints and his/her followerâ¿¿s solution. In modelling ...

Most existing recommender systems employ collaborative filtering (CF) techniques in making projections about which items an eservice user is likely to be interested in, i.e. they identify correlations between users and ...

The oligopoly model of international fishing of Szidarovszky and Okuguchi [7] where the harvesting countries form a coalition is revisited with the additional assumption that there is a time lag in obtaining and ...

Variational approximation methods have become a mainstay of contemporary machine learning methodology, but currently have little presence in statistics. We devise an effective variational approximation strategy for fitting ...

Linear mixed models are able to handle an extraordinary range of complications in regression-type analyses. Their most common use is to account for within-subject correlation in longitudinal data analysis. They are also ...

We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performing inference ...

A semiparametric version of the generalized linear model for regression response was developed by replacing the linear combination with nonparametric components. The generalized partially linear single-index models were ...

In stock market or other financial market systems, the technical trading rules are used widely to generate buy and sell alert signals. In each rule, there are many parameters. The users often want to get the best ...