The Conditional Phase-type distribution: Graphical Models for Continuous Non-Normal Data:The Conditional Phase-type (C-Ph) distribution:

Conditional Gaussian (CG) distributions allow the inclusion of both discrete and continuous variables in a model assuming that the continuous variable is normally distributed. However, the CG distributions have proved to be unsuitable for survival data which tends to be highly skewed. A new method of analysis is required to take into account continuous variables which are not normally distributed. The aim of this paper is to introduce the more appropriate conditional phase-type (C-Ph) distribution for representing a continuous non-normal variable while also incorporating the causal information in the form of a Bayesian network.

Knowledge Formation and the Great Divergence between China and Europe: Manuscripts and Printed Books, ca. 581–1840

Literature dealing with the history of Chinese printed books and printing is voluminous. Yet studies of how knowledge in general and utilitarian forms of knowledge in particular were generated, accumulated and circulated by printed books and their relationship with the long-term socio-economic transformation of China are rare. This paper aims to open up the subject by examining the long-term trends in the production of manuscripts and books and focusing on the connections between the generation and dissemination of useful knowledge in China and the production and circulation of printed books over the centuries and dynasties from circa 581 to 1840 compared to Europe. It connects trends in this indicator for knowledge formation and diffusion to economic growth, urbanization, changes in higher forms of education, the rise of literacy, the development of printing technologies, and changes in perceptions of the natural world. It concludes that human capital formation in China probably proceeded at a slower rate,which is relevant for narratives of the “divergence” between China and Europe.