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 17088 for “"Statistical"”.
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Statistical Learning with Discrete Structures: Statistical and Computational Perspectives
In various statistical tasks it is of interest to learn estimators with discrete structures (e.g., sparsity, low-rank, shared model parameters, etc)---they are appealing for their interpretability and compactness. However, learning with discrete structures can be computationally challenging. In …
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Computational and statistical challenges in high dimensional statistical models
… focuses on two long-studied high-dimensional statistical models, namely (1) the high-dimensional linear regression (HDLR) model, where the goal is to recover a hidden vector of coefficients from noisy linear observations, and (2) the planted clique (PC) model, where the goal is to recover a …
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Toward Error-Statistical Principles of Evidence in Statistical Inference
The context for this research is statistical inference, the process of making predictions or inferences about a population from observation and analyses of a sample. In this context, many researchers want to grasp what inferences can be made that are valid, in the sense of being able to uphold or …
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Statistical algorithms using multisets and statistical inference of heterogeneous networks
… for the EM algorithm and the MCMC method, and statistical analysis for heterogeneous networks. The expectation-maximization (EM) algorithm is widely used in computing the maximum likelihood estimates when the observations can be viewed as incomplete data. However, the convergence rate of the EM …
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Statistical Calibration Theory
… Maximum likelihood estimation is the statistical formulation of the classical approach.</p> <p>The second approach to calibration takes into account the distribution of X values for the units to be measured and attempts to minimize the mean squared deviations between the predicted and …
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Cyclostationary statistical optics
Pulsed, optical fields are treated theoretically within the framework of cyclostationary random processes. Propagation-induced effects for stochastic, pulsed fields that are either beam-like or plane waves are examined in the context of interferometric and spectroscopic measurements. Propagation of …
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Statistical object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Improving statistical seismicity models
Several mechanisms are proposed to be part of the earthquake triggering process, including static stress interactions and dynamic stress transfer. Significant differences of these mechanisms are particularly expected in the spatial distribution of aftershocks. However, testing the different …
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Topics in statistical discrimination
Abstract available p. [iv]-[v]
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Statistical analysis of anomalies
Includes bibliographical references (pages 68-72).
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Distributed Supervised Statistical Learning
… this thesis, we focus on distributed supervised statistical learning where sparse linear regression analysis is performed in a distributed framework. These methods are frequently applied in a variety of disciplines tackling large scale datasets analysis, including engineering, economics, and …
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Statistical Mechanics of Crystals
Made available in DSpace on 2015-05-12T17:11:36Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 0002078.PDF: 1854491 bytes, checksum: d4bec0410b46ad89aab5e72c169a1657 (MD5) Previous issue date: 1950
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Statistical Mechanics of Macromolecules
Made available in DSpace on 2014-12-09T17:35:05Z (GMT). No. of bitstreams: 1 6503625.pdf: 2692048 bytes, checksum: 3aa500cb62cbe5cda75b33e730d7b78a (MD5) Previous issue date: 1964
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Statistical time-frequency analysis
… has been severely limited due to the lack of statistical considerations in their development.
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Spatial statistical-physical systems
Statistical physics, as a branch of modern physics, uses methods of probability theory and statistics to solve physical problems with large populations and approximations. In this thesis, we use numerical simulations to study two statistical physical models — Ising model under topological …
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Statistical aspects of bioavailability
… The objective of this thesis is to review the statistical aspects associated with (i) measuring the bioavailability of a drug (Chapter 2) (ii) establishing the equivalence of a new and standard formulation of a drug (Chapter 3). In the process of reviewing the literature two problems were …
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Adaptive statistical language modeling
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Multiresolution statistical object recognition
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Magnetic assisted statistical assembly
… circuits. This method, magnetically assisted statistical assembly (MASA), incorporates past methods such as Fluidic Assisted Self- Assembly (FASA) and Recess Mounting with Monolithic Metalization (RM3). Specifically, MASA addresses the main limitation to the FASA method by adding a magnetic …
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Statistical analysis of familial correlations.
Inferences for familial (intraclass and interclass) correlations are considered for unbalanced familial data from multivariate normal populations. The most commonly used familial correlation is that between siblings (without regard to gender), called intraclass or sib-sib correlation coefficient. …
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