Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Latent factor models"”.
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Geographic and Social Space in Latent Factor Models - Four Essays
… of human interaction. When building statistical models, their consideration is vital: They all cause dependency between individual observations, violating assumptions of independence and exchangeability. While this can be problematic and inhibit the unbiased inference of parameters, it can also …
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Collaborative Genre Tagging
… of users in the absence of any metadata. Latent factor models have been used to achieve state-of-the-art accuracy in many CF settings, playing an especially large role in beating the benchmark set in the Netflix Prize in 2008. These models learn latent features for users and items to …
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Bayesian Modeling of a High Resolution Housing Price Index
… approach which builds on the framework of latent factor models to enable a flexible, data- driven method for inferring the clustering of correlated census tracts. We explore methods for scalability and parallelizability of computations, yielding a housing valuation index at the level of …
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Defining the Construct of Malingered PTSD in Civil Litigation: A Confirmatory Factor Analysis
… of both performance-based and symptom-based latent factors. The present study aimed to extend these findings to a simulated personal injury paradigm, in which PTSD is alleged without concurrent physical injury (e.g., traumatic brain injury). As a part of larger research initiative, 411 …
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Bridging Psychometric and Cognitive Models of (General) Intelligence: An Investigation Based on Process Overlap Theory
… the POT framework using a combination of latent factor models, item response models, and psychometric network models of both simulated data and real-world cognitive testing data. These exploratory studies provide an account of the psychometric structure and the cognitive mechanisms of …
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Multi-Factor Dynamic Modelling and Forecasting of Interest Rates and Equity Markets
… In that regard, several existing multi-factor continuous-time models are extended to four and five factors to assess the benefit of richer models. The Gaussian estimation methods for dynamic Continuous-Time models yield insightful comparative results concerning the two different segments …
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The central role of stress relief in video gaming motivations and preferences
… play video games. This dissertation integrates latent factor models with techniques from machine learning and network analysis to develop a holistic picture of gaming style, motivations, and individual differences. It employs diverse sources of data across several studies and a total of 2,143 …
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Model selection in compositional spaces
We often build complex probabilistic models by composing simpler models-using one model to generate parameters or latent variables for another model. This allows us to express complex distributions over the observed data and to share statistical structure between dierent parts of a model. In this …
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Essays in Financial Econometrics
… average. </p><p>In the second essay, I estimate latent factor models of liquidity and volatility. Common liquidity and volatility factors are extracted using multiple liquidity and volatility measures. Additionally, latent factors are extracted by aggregating across both liquidity and volatility …
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Unsupervised Learning : Model-guided and Model-agnostic Approaches
… of such large amounts of labeled data for these models makes one skeptical about the generalization of such intelligence to myriad tasks. While training a neural network to classify images of a cat, one might wonder : Do humans really need hundreds of images to differentiate a cat from an …