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 41 for “"efficient estimation"”.
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Modeling and Efficient Estimation of Intra-Family Correlations
… based on existing and emerging methods of estimation. Asymptotic and small-sample properties are discussed, as is hypothesis testing.</p> <p>The second part of this dissertation involves a slightly more complicated version of autoregressive familial correlation, where we now model …
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Efficient estimation and mitigation for radio-frequency interference
"With rapid innovations in Internet of Things (IoT) and wireless technology, more and more consumer electronic devices around the world are now connected to the internet. In a small form factor electronic device, there are plenty of potential noise sources such as System On Chip (SoC), high speed …
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Efficient Estimation of Stochastic Parameters: A GLS Approach
… financial data, like inflation risk premium estimations. The research culminates in offering a robust tool for financial econometrics, enhancing the reliability of financial analyses and predictions.
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Efficient Estimation of Linear Regression Models With Autocorrelated Errors
Made available in DSpace on 2014-12-14T06:06:04Z (GMT). No. of bitstreams: 1 7804091.pdf: 5452448 bytes, checksum: 10c8e65fdd1bc2bcffec86dfdd8aa565 (MD5) Previous issue date: 1977
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Nonparametric efficient estimation of prediction error for incomplete data models
… of <br>classification schemes. <br> <br>For estimation of prediction error in the presence of censoring, <br>generalized non-parametric information bounds are developed. For <br>predictions of survival probabilities that may depend on a vector of <br>covariates, it is proved that inverse …
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Efficient estimation for Markowitz's portfolio optimization by using random matrix theory
In this thesis, we first prove that under some situations the traditional (plug-in) return for the MV optimization is square of gamma times bigger than the theoretical optimal return, while under situations, the plug-in return is bigger than but may not be same times larger than its theoretic value …
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Contributions to modeling and computer efficient estimation for Gaussian space -time processes
… provides several contributions to computer efficient methodology for estimation with space-time data. First we propose a parsimonious class of computer-efficient Gaussian spatial interaction models that includes as special cases CAR and SAR-like models. This extended class is capable of …
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Effective and efficient estimation of distribution algorithms for permutation and scheduling problems.
Estimation of Distribution Algorithm (EDA) is a branch of evolutionary computation that learn a probabilistic model of good solutions. Probabilistic models are used to represent relationships between solution variables which may give useful, human-understandable insights into real-world problems. …
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Robust Efficient Estimation of Semiparametric Covariate Models based on Minimum Hellinger Distance
… the response variable. This thesis investigates efficient and robust estimates for this class of models. For this purpose, we employ the minimum distance approach which in general is automatically robust with respect to the stability of the quantity being estimated. In particular, the minimum …
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Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs
… design of structure-exploiting methods for the efficient estimation of risk measures of quantities of interest in the context of optimization of partial differential equations (PDEs) with random inputs. Risk measures of the quantities of interest arise as objective functions or as constraints in …
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Kalman filtering in noisy nonlinear systems using a jump matrix approach
A computationally efficient estimation technique is presented for a class of nonlinear systems consisting of memoryless nonlinearities combined with linear dynamic processes. The modeling approach is based on a useful sampled-data method for simulating such systems by adding a system state for each …
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High Fidelity and Efficient Computations of Dynamic Loads for Multidisciplinary Design Optimization of Flexible Transport Aircraft
… In this thesis, we address the problem of an efficient estimation of critical dynamic aeroelastic loads. The method is based on the Kriging metamodeling technique and the Expected Improvement Function, known formally as the Efficient Global Optimization (EGO) algorithm. Furthermore, different …
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Identification of impulsive interference channels
… distribution, the problems of basic batch estimation of the Class A parameters, recursive identification of the parameters, and efficient estimation of the parameters for small sample sizes, are investigated. Within the context of basic batch estimation, several estimators of the parameters …
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Equalization Using Graphical Models
… of large systems can be exploited to derive efficient estimation algorithms. Furthermore, properties of a graph on which an algorithm is based can be used for analysis. We use factor graphs to develop efficient implementations of various equalization algorithms, including an unconstrained and …
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Impact of human vocal fold vibratory asymmetries on acoustic characteristics of sustained vowel phonation
… manual markings and visualperceptual judgments. Efficient estimation of these measures was possible due to recent technological advances in high-speed imaging of the larynx that enabled the capture and processing of high-resolution video (up to 10,000 images per second) of rapid vocal fold …
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Bayesian Nonparametric Models and Tests for Association in Survival Data
… models, such as robustness for density estimation and increased power for hypothesis testing. The three topics are: (i) The formulation of a test statistic that is a Bayes factor constructed from independent marginalized Polya tree priors, where the Polya tree centering distributions are …
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Efficient Unbiased Estimating Equations for Analyzing Structured Correlation Matrices
… these ranges is important for developing efficient estimation methods. We study estimation of the familial correlations using a probit model and stochastic representation of the latent variables. We discuss some extensions of our results to nuclear families. Some real life examples are …
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Lifted Inference for Relational Hybrid Models
… the Lifted Relational Kalman filter (LRKF), an efficient estimation algorithm for large-scale linear dynamic systems. It shows that the new relational Kalman filter enables scaling the exact vanilla Kalman filter from 1,000 to 1,000,000,000 variables. Another key contribution of this thesis is …
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