On Wesner's method of searching for chaos on low frequency

An alternative to Wesner's method of detecting deterministic behavior and chaos in small sample sets is presented. This new method is applied to analyze the dynamics of several stock prices.

Employer recruitment preferences and discrimination: a stated preference experiment

This paper presents a novel approach of applying stated preference methods in the field of labour economics. Differences in behaviour and labour market disadvantage are connected to the presence, and ages of children, the so-called „family gap‟. There are major difficulties in collecting accurate information about the recruiting practices of employers and identifying their preferences towards different characteristics of new recruits. Employer answers to direct questions may not illicit reliable answers due to them having unconscious biases, confounding various potential employee characteristics, social or legal pressures on not appearing to be biased against certain types of potential employees or them practicing discrimination. This paper applies stated preference methods to identifying employer preferences to three sets of characteristics of potential recruits: age, gender and presence and age of their youngest child. This method is tested using face-to-face interviews with 52 firms. The results indicate that there are strong employer preferences against those: having childcare responsibilities for children aged under 5; and being over 50 years old. Employer preferences favour: those between the ages of 25 and 39; those with no childcare responsibilities; and women. This suggests that the influences of age, gender and children are crucial factor when discussing gender and labour demand.Employer Preferences; Recruitment; Stated Preference Methods; Labour Markets

Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors

Statistical machine learning methods, especially nonparametric Bayesian methods, have become increasingly popular to infer clonal population structure of tumors. Here we describe the treeCRP, an extension of the Chinese restaurant process (CRP), a popular construction used in nonparametric mixture models, to infer the phylogeny and genotype of major subclonal lineages represented in the population of cancer cells. We also propose new split-merge updates tailored to the subclonal reconstruction problem that improve the mixing time of Markov chains. In comparisons with the tree-structured stick breaking prior used in PhyloSub, we demonstrate superior mixing and running time using the treeCRP with our new split-merge procedures. We also show that given the same number of samples, TSSB and treeCRP have similar ability to recover the subclonal structure of a tumor.Comment: Preprint of an article submitted for consideration in the Pacific Symposium on Biocomputing \c{opyright} 2015; World Scientific Publishing Co., Singapore, 2015; http://psb.stanford.edu

Vote 100

Short Comment piece on the Centenary of Votes for Women Published by British Sociological Association on the Vote 100 blo