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 61 for “"Asymptotic theory"”.
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Uniform Asymptotic Theory Applied to Aperture Diffraction
Made available in DSpace on 2014-12-12T20:54:30Z (GMT). No. of bitstreams: 1 7709097.pdf: 4181360 bytes, checksum: 290cc4a8bcdec519a778f859474b53d7 (MD5) Previous issue date: 1976
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Contributions to asymptotic theory in nonparametric statistics
… analogue. As an application, we deduce precise asymptotics for the Wasserstein-1 distance between the occupation measure and the invariant measure.
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Numerical Contributions to the Asymptotic Theory of Robustness
… is given. Part I provides a description of the asymptotic theory of robustness (Chapter 1) which forms the basis of this thesis. It is based on Chapters 4 and 5 of Rieder (1994). Chapter 2 provides supplements to the asymptotic theory of robustness which have proved necessary for this thesis. …
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Asymptotic theory for Bayesian nonparametric procedures in inverse problems
… of this thesis is to investigate the frequentist asymptotic properties of nonparametric Bayesian procedures in inverse problems and the Gaussian white noise model. In the first part, we study the frequentist posterior contraction rate of nonparametric Bayesian procedures in linear inverse problems …
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On the Asymptotic Theory of Linear and Nonlinear Ordinary Differential Equations
Made available in DSpace on 2014-12-14T13:09:30Z (GMT). No. of bitstreams: 1 7624163.pdf: 2960947 bytes, checksum: 71bcc4aeb0aaa8ac92f28a13586009b2 (MD5) Previous issue date: 1976
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Asymptotic theory for Bayesian nonparametric inference in statistical models arising from partial differential equations
Partial differential equations (PDEs) are primary mathematical tools to model the behaviour of complex real-world systems. PDEs generally include a collection of parameters in their formulation, which are often unknown in applications and need to be estimated from the data. In the present thesis, …
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"Sequential analysis of duration data with application to ""reemployment bonus"" experiments"
"Suitable methodology and an asymptotic theory for the sequential analysis of time-to-event (duration) data is developed and its application in ""Reemployment Bonus"" experiments is studied."
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Under-Coverage of Double Machine Learning Due to Implementation Choices
… seed, and hyperparameter configurations. While asymptotic theory suggests these choices should not affect final estimates, we show that for 10 economic analyses (8 of them published and peer-reviewed), implementation choices affect the results. In half of the datasets, different implementation …
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Analysis and design of wave scattering by weakly non-uniform waveguides
… wavelengths of the incident wave. We applied an asymptotic theory for wave propagation along the non-uniform chain. For weak coupling between subsystems, the asymptotic theory predicted new results, such as exponential small transmission due to wave tunneling and explained localization phenomena …
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Parametric quantile regression based on the generalised gamma distribution
… covariate. Quantiles are plotted accordingly and asymptotic theory for obtaining the expressions for confidence bands around them is given. Based on the chi-square goodness-of-fit test, we suggest a test statistic that checks the goodness of the generalised gamma model for given data. We validate …
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On the multivariate components of variance problem
… this dissertation. A difficulty in developing asymptotic inference procedures for the general random effect problem is the nonexistence of a single index over which the limit is taken. For example, a one-way model has two indices, the numbers of groups and replicates. In order to develop …
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Diffraction by Parallel-Plates With Application to Lens Antennas
… this scattered field, we apply the uniform asymptotic theory for the primary contribution, and the spectral theory for the first interaction.
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Nonlinear network vector autoregression
… improved, linear, and one-dimensional. Economic theory shows that many important macroeconomic time series exhibit nonlinear characteristics. If this non-linear feature is ignored, the conclusion is likely to be wrong by only using linear analysis. Therefore, it is necessary to expand the linear …
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ESSAYS ON NONPARAMETRIC ESTIMATION OF HETEROGENEOUS CAUSAL EFFECTS
… with Guido Kuersteiner, we develop a new asymptotic theory for flexible semi-parametric estimators of dynamic causal effects in data with discrete policy interventions. Our framework extends existing theory of propensity score weighted estimators to weakly dependent processes. We show …
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New nonparametric statistical procedures for analyzing bias/DIF and dimensionality in item response data
… by much of the currently used item response theory (IRT) methodologies. In the first part of this thesis, a further and non-trivial practical refinement of DIMTEST(Stout, 1987; Nandakumar & Stout, 1993) is made to assess latent trait unidimensionality for mixed dichotomous and polytomous …
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Studies on Estimation of Genetic Variances Under Nonadditive Gene Action
… in a population in linkage equilibrium. The theory employed for objective (1) involves an extension of Henderson's rapid method for inverting a numerator relationship matrix, and the approach taken was based on a recursive relationship between additive x additive genetic deviations of …
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Studies on counterflow diffusion flames
… reaction. The general Large-activation-energy asymptotic theory for diffusion flames is first revised and then applied to one dimensional counterflow diffusion flames with finite separation distance between reactant supplies under constant density assumption. Comparisons are made between …
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Contemporaneous Carma Modelling With Applications
… shown in the thesis that the joint estimation is asymptotically efficient. For the case of the CAR(1) model, asymptotic theory and small sample simulation show that the gain in efficiency over univariate estimation can be in excess of 50%. A computationally efficient procedure to obtain the joint …
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PRACTICAL INVESTIGATIONS ON BAYESIAN INVERSE PROBLEMS
… estimates and confidence intervals which are asymptotically justified. As the computational power increased, however, ractitioners and researchers looked for better uncertainty quantification. The usual asymptotic confidence intervals gave way to full distributions using the Bayesian approach. …
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Quantifying particle sorting in microbubble streaming flows
… seen in experiment. It is also shown that an asymptotic theory that incorporates the device geometry and superimposed channel flow accurately models key flow features such as peak speeds and particle trajectories. Finally, the forces acting on particles on oscillatory time scales are …
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