Browsing by Subject "Clustering"
Now showing items 1-8 of 8
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Bidding For Parking: The Impact of University Affiliation on Predicting Bid Values in Dutch Auctions of On-Campus Parking Permits
(2016-06-14)Parking is often underpriced and expanding its capacity is expensive; universities need a better way of reducing congestion outside of building costly parking garages. Demand based pricing mechanisms, such as auctions, offer ... -
Clustering Multiple Related Datasets with a Hierarchical Dirichlet Process
(2011)I consider the problem of clustering multiple related groups of data. My approach entails mixture models in the context of hierarchical Dirichlet processes, focusing on their ability to perform inference on the unknown ... -
Heterogeneity in Mortgage Refinancing
(2022-06-22)Many households who would benefit from and are eligible to refinance their mortgages fail to do so. A recent literature has demonstrated a significant degree of heterogeneity in the propensity to refinance across various ... -
Malaria Risk Factors in the Peruvian Amazon: A Multilevel Analysis
(2012)A multilevel analysis of malaria risk factors was conducted using data gathered from community-wide surveillance along the Iquitos-Mazan Road and Napo River in Loreto, Peru. In total, 1650 individuals nested within 338 households ... -
Peer Effects & Differential Attrition: Evidence from Tennessee’s Project STAR
(2022-04-08)This paper explores the effects of attrition on student development in early education. It aims to provide evidence that student departure in elementary schools has educational impacts on the students they leave behind. ... -
Risk Price Variation: The Missing Half of Empirical Asset Pricing
(Economic Research Initiatives at Duke (ERID) Working Paper, 2019-05-24) -
Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals
(2018)Inferring brain states from EEG signals allows for the management of sleep disorders and brain diseases by providing an insight into the electrophysiological state of the brain. We explore the use of topic modeling – which ...