Robust Model Selection for Stochastic Processes

We address the problem of robust model selection for finite memory stochastic processes. Consider m independent samples, with most of them being realizations of the same stochastic process with law Q, which is the one we want to retrieve. We define the asymptotic breakdown point γ for a model selection procedure and also we devise a model selection procedure. We compute the value of γ which is 0.5, when all the processes are Markovian. This result is valid for any family of finite order Markov models but for simplicity we will focus on the family of variable length Markov chains.     

An optimal property of the “(r,k ) class estimators”

The purpose of this work is to display optimal conditions, in terms of the Mean Square Error criterion of the (r,k) class estimators. This will be done with respect to the ordinary ridge repression, principal components and ordinary least squares estimate.     

Beyond (But Including) the CEO: Diffusing Corporate Social Responsibility throughout the Organization through Social Networks

Chief Executive Officers and other organizational leaders can affect how corporate social responsibility initiatives are perceived in their organizations. However, in order to be successful with regard to promoting CSR, leaders need to have strong network competencies and to move beyond charismatic leadership. In this paper we offer a critique of charismatic leadership as it relates to CSR, posit that the intellectual stimulation brought about by transformational leadership is more important in this regard, propose that internal and networking is a leadership competence highly relevant to CSR, and emphasize the importance of working through highly credible opinion leaders in promoting CSR.