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 1015 for “"Averaging"”.
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Stochastic Averaging for Mechanical Systems
… presented is based on the theory of stochastic averaging. This theory provides a mathematically rigorous method to reduce the number of differential equations required to describe the long term evolution of dynamical systems forced by small amplitude stochastic forces. There are three novelties …
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Distributed averaging in dynamic networks
… on the design and analysis of algorithms for averaging is reasonably well understood, e.g. [14][2][8][4]. However, little is known about the effect of other forms of dynamics. In this thesis, we study the effect of such types of dynamics in the context of maintaining average in the network. …
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Model Uncertainty & Model Averaging Techniques
… linearly and which ones enter nonlinearly. Model averaging methods including Bayesian model averaging and Frequentist model averaging are the main statistical tools that incorporate theory uncertainty into the estimation process. To address functional form uncertainty, a variety of techniques have …
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On Bounded-Functions Satisfying Averaging Conditions
Made available in DSpace on 2014-12-11T18:24:05Z (GMT). No. of bitstreams: 1 7411965.pdf: 1594737 bytes, checksum: bd06ba0580e74feb0f92bbd6c8584e0e (MD5) Previous issue date: 1973
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Multivariate Applications of Bayesian Model Averaging
… others. An alternative to this is Bayesian model averaging (BMA), which uses the information from all models based on how well each is supported by the data. Using BMA allows a variance component due to the uncertainty of the model selection process to be estimated. The variance of any statistic …
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Counting and Averaging Problems in Graph Theory
Paul Gunther (1966), proved the following result: Given a continuous function f on a compact surface M of constant curvature -1 and its periodic lift g to the universal covering, the hyperbolic plane, then the averages of the lift g over increasing spheres converge to the average of the function f …
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Convergence speed in distributed consensus and averaging
… propose three new algorithms for the distributed averaging and consensus problems: two for the fixed-graph case, and one for the dynamic-topology case. The convergence times of our fixed-graph algorithms compare favorably with other known methods, while our algorithm for the dynamic-topology case …
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Three Essays on Causal Inference With Model Averaging
… contains essays on causal inference with model averaging. The first essay presents a theoretical derivation of a model-averaging-based average treatment effect estimator. The second essay provides comparison of predictability of treated counterfactual outcome between model averaging and other …
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Advanced Ordered Weighted Averaging Methods in Robust Optimization
… dissertation investigates the Ordered Weighted Averaging (OWA) operator, which offers a flexible framework for aggregating outcomes according to varying risk preferences, from risk-averse to risk-neutral, encompassing traditional robust approaches as special cases. This work is organized around …
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Product of random stochastic matrices and distributed averaging
… random stochastic matrices and random weighted averaging dynamics. It will be shown that a generalization of a fundamental result in the theory of ergodic Markov chains not only holds for inhomogeneous chains of stochastic matrices, but also remains true for random stochastic matrices. To do …
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Multiset Model Selection and Averaging, and Interactive Storytelling
The Multiset Sampler [Leman et al., 2009] has previously been deployed and developed for efficient sampling from complex stochastic processes. We extend the sampler and the surrounding theory to model selection problems. In such problems efficient exploration of the model space becomes a challenge …
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Bayesian model averaging for mathematics achievement growth rate trends
… study, we investigated the use of Bayesian model averaging (BMA) for latent growth curve models. We used the Trends in International Mathematics and Science Study (TIMSS) to predict growth rates in 8th-grade students' mathematics achievement. The dataset on male and female students' mathematics …
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Temporal Frame Difference Using Averaging Filter for Maritime Surveillance
Video surveillance is an active research area in Computer Vision and Machine Learning. It received a lot of attention in the last few decades. Maritime surveillance is the act of effective detection/recognition of all maritime activities that have impact on economy, security or the environment. The …
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Bounds for Bilinear Analogues of the Spherical Averaging Operator
… operators, with an emphasis on the triangle averaging operator and the bilinear spherical averaging operator.
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A Simplified Method of Averaging as Adapted to Grading Systems
… this thesis to give a simplified method for the averaging of grades in those schools which use marking and ranking systems.
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Integral Manifolds of Slow Adaptation (Adaptive Control, Method of Averaging)
… on the manifold is analyzed via the method of averaging. In the process of developing the discrete-time part of these results, the relationship between the method of averaging for deterministic signals and the ordinary differential equation approach to the study of stochastic adaptive systems …
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Cost averaging techniques for robust control of parametrically uncertain systems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1991.
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