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 20 of 2411 for “"Incomplete"”.
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The incomplete
Alienation in the built environment can happen in two ways: 1. When man cannot relate himself to his immediate surrounding (for example, the structure he is in); or 2. when the place he is in does not relate to the larger context. Both of these are issues of continuity, or rather, the lack of it, …
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The Incomplete Domestic Landscape
Our environments are failing us. Modernism’s relentless pursuit of efficiency, control, and purity has birthed a sterilization that has weakened our bodies bit by bit, little by little, to the point that they have almost been lost. We seek to unpack our relentless reality: its cold corners and its …
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Elections with incomplete information
… consists of three chapters exploring the role of incomplete information and learning in elections. The first chapter examines the dynamics of voter learning about candidate ability in repeated elections. The dynamic process of belief revision gives rise to incentives that vary strongly over a …
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Essays in incomplete markets
This thesis studies the macroeconomics of incomplete markets. Chapter 1 studies the effects of capital taxation in a dynamic heterogeneous-agent economy with uninsurable entrepreneurial risk. Unlike either the complete-markets paradigm or Bewley-type models where idiosyncratic risk impacts only …
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Essays on Endogenously Incomplete Markets
… models with markets that are endogenously incomplete. Chapter 2 provides microfoundations for two types of widely used incomplete market models while chapter 3 studies the role for policy in endogenously incomplete models. Chapter 4 examines the existence of multiplicity in such models and …
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Convergence in incomplete market models
… of pricing and hedging of contingent claims in incomplete markets has lead to the development of various valuation methodologies. This thesis examines the mean-variance and variance-optimal approaches to risk-minimisation and shows that these are robust under the convergence from discrete- to …
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Inventory management with incomplete information
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Analysis based on incomplete data
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01
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Deep hedging in incomplete markets
This dissertation presents an extensive analysis of the neural network approximation of mean-variance hedging with a comparison between the current neural network approaches and the theoretical solutions. These theoretical solutions provide a simulation-based performance benchmark for this …
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Optimization problems with incomplete information
This thesis is concerned with the design and analysis of algorithms for new variants of optimization problems where the problem instance is not completely known. Specifically, we consider two online problems where the problem instance is revealed over time, and one distributed problem involving …
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Empirical Meaning and Incomplete Personhood
… the preceding starting points is a picture of incomplete personhood in which persons are seen as being inclined both toward experiential wholes which have conceptual content and toward establishing and unifying beliefs which resolve doubts. Because of the conditions of experience constitutive …
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Essays on Microeconomics with Incomplete Information
… It contains four essays on Microeconomics with Incomplete Information. Chapter 1 focuses on the existence of rational bubbles in an Allen-Morris-Postlewaite: 1993) setting, and finds positive and negative results for bubbles in an asset market featuring rational expectations equilibrium. An …
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Generalized Decomposition of Incomplete Finite Automata
Made available in DSpace on 2014-12-09T22:17:29Z (GMT). No. of bitstreams: 1 6607791.pdf: 2865165 bytes, checksum: 137fe9810051b7b76d7e669c6a999f19 (MD5) Previous issue date: 1966
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Causal structure discovery from incomplete data
Causal structure learning is a fundamental tool for building a scientific understanding of the way a system works. However, in many application areas, such as genomics, the information necessary for current causal structure learning algorithms does not match the information that researchers can …
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Learning discriminative models with incomplete data
… etc. Often in real-world scenarios there can be incompleteness in the training data. There can be missing channels due to sensor failures in multi-sensory data and many data points in the training set might be unlabeled. Further, instead of having exact labels we might have easy to obtain coarse …
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Static analysis for incomplete object-oriented programs
… introduces a points-to analysis technique for incomplete object-oriented programs, called com- pleteness analysis, which exploits the access and modification properties of classes, methods and fields to enhance the analysis precision. Two variations of the tech- nique, compositional and …
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Valuing risky income streams in incomplete markets
… suggesting that world financial markets are incomplete leads to the question of how best to price and hedge contingent claims and derivative securities in incomplete markets. The focus of this dissertation is on a model proposed by Carr, Geman and Madam [7], which combines elements of …
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Stable mixing of complete and incomplete information
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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