Statistical methodology is presented for the regression analysis of multiple events in the presence of random eeects and measurement error. Omitted covariates are modeled as random eeects. Our approach to parameter estimation and signiicance testing is to start with a naive model of semi-parametric Poisson process regression, and then to adjust for random eeects and any possible covariate measu...

We investigate the probability distribution of Conley-Zehnder indices associated with Brownian random paths on Sp(2n,R) that start at the identity. In the case of n = 1, we prove that the distribution has the same moment asymptotics as the standard random walk on the real line. We also present numerical evidence suggesting that the same asymptotics should hold for general n.

Data from the Head Start Impact Study (N=3,185) were used to determine whether Head Start differentially benefited children from homes with high, middle, and low levels of parental preacademic stimulation on three academic outcome domains – early literacy, receptive vocabulary, and early math – after one year. Results from residualized growth models showed positive impacts of random assignment ...

Data from the Head Start Impact Study (N = 3,185, age = 3-4 years) were used to determine whether 1 year of Head Start differentially benefited children from homes with high, middle, and low levels of parental preacademic stimulation on three academic outcome domains-early math, early literacy, and receptive vocabulary. Results from residualized growth models showed positive impacts of random a...

In this paper we provide theoretical and experimental results on a random-surfer model for construction of a random graph. In this model, a new node connects to the existing graph by choosing a start node uniformly at random and then performing a short random walk. We show that in certain formulations, this results in the same distribution as the preferential-attachment random-graph model, and ...

We present telescoping recursive representations for both continuous and discrete indexed noncausal Gauss-Markov random fields. Our recursions start at the boundary (for example, a hypersurface in R, d ≥ 1) and telescope inwards. Under appropriate conditions, the recursions for the random field are differential/difference representations driven by white noise, for which we can use standard recu...

There is nothing quite so helpless in this world as a baby broiler chick which has been snatched from the warmth of its surrogated mother, carted umpteen kilometers in a box dumped unceremoniously in a broiler shed and then told to get on with the job of making the boss a wealthy man. Yet within the space of 14 days, that same chick, under optimum conditions, will have increased its day-old bod...

This paper presents Myusic, a platform that leverages social media to produce content-based music recommendations. The design of the platform is based on the insight that user preferences in music can be extracted by mining Facebook profiles, thus providing a novel and effective way to sift in large music databases and overcome the cold-start problem as well. The content-based recommendation mo...