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This paper constitutes a serious attempt to develop a new inference method for structural models with latent variables. In addition to tackling some difficult econometric issues, it is carefully executed with thoughtful discussions on many detailed issues. Overall, I see this article as a nice addition to the literature that focuses on the development of efficient and feasible econometric metho...

Understanding the actionable outcomes of a dialogue requires effectively modeling situational roles of dialogue participants, the structure of the dialogue and the relevance of each utterance to an eventual action. We develop a latent-variable model that can capture these notions and apply it in the context of courtroom dialogues, in which the objection speech act is used as binary supervision ...

This paper addresses the problem of human pose estimation, given images taken from multiple dynamic but calibrated cameras. We consider solving this task using a part-based model and focus on the part appearance component of such a model. We use a random forest classifier to capture the variation in appearance of body parts in 2D images. The result of these 2D part detectors are then aggregated...

It is indispensable for users to evaluate the trustworthiness of other users (referred to as advisors), to cope with possible misleading opinions provided by them. Advisors’ misleading opinions may be induced by their dishonesty, subjectivity difference with users, or both. Existing approaches do not well distinguish the two different causes. In this paper, we propose a novel probabilistic grap...

We consider random-design nonparametric regression model in which errors depend on predictors as well as on unobservable latent variables. Predictors and latent variables may be shortor long-range dependent. In this setup asymptotic distributions of the Nadaraya-Watson estimate of regression function are studied under various conditions. We prove that their form depends on three factors: amount...

It has often been argued that all techniques of standard setting are arbitrary and likely to yield different results for different techniques or persons. This paper deals with a related but hitherto ignored aspect of standard setting, namely the possibility that Angoff or Nedelsky judges misspecify the probabilities of the borderline student's success on the items because they do not use the ps...

The problem of understanding people’s participation in realworld events has been a subject of active research and can offer valuable insights for human behavior analysis and event-related recommendation/advertisement. In this work, we study the latent factors for determining event popularity using large-scale datasets collected from the popular Meetup.com EBSN in three major cities around the w...