Logistic regression models are a popular and effective method to predict the probability of categorical response data. However, inference for these can become computationally prohibitive large datasets. Here we adapt ideas from symbolic data analysis summarize collection predictor variables into histogram form, perform on this summary dataset. We develop based composite likelihoods derive an ef...

China has a unique land use system in which there are two types of land ownership, namely, state-owned urban land and farmer collective-owned rural land. Despite strict restrictions on the use rights of farmer collective-owned land, rural land is, in fact, developed along two pathways: it is formally acquired by the state and transferred into state ownership, or it is informally developed while...

Motivated by high-dimensional applications in authorship atttribution, we describe a Bayesian multinomial logistic regression model together with an associated learning algorithm.