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 38 for “"dependent data"”.
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Statistical inference for dependent data
Functional data Analysis has emerged as an important area of statistics which provides convenient and informative tool for the analysis of data objects of high dimension/high resolution. In the literature, it seems that the emphasis has been placed on independent functional data or models where the …
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High-dimensional and dependent data with additional structure
… has enabled the collection of massive amounts of data. These data present numerous statistical challenges, because many data sets are high-dimensional and dependent. While statistical inference for high-dimensional and dependent data is challenging, many data come with additional structure that …
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Statistical inference from dependent data : networks and Markov chains
… often, due to the process according to which data is collected, the samples in a dataset have implicit correlations amongst them. Such correlations are commonly ignored as a first approximation when trying to analyze statistical and computational aspects of an inference task. In this thesis, …
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Sequential multiple testing and quickest change detection for dependent data streams
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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Statistical Analysis of Response Distribution for Dependent Data via Joint Quantile Regression
… not based upon a fully generative model of the data. In this dissertation, we address this difficulty for analyzing spatial point-referenced data and hierarchical data. Several models are introduced by generalizing the joint quantile regression model of Yang and Tokdar (2017) and characterizing …
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Density Estimation for Robust Financial Econometrics
… Beran (1977) and Basu and Lindsay (1994) so that dependent data and simulated model densities are allowed, enabling the estimation without simple analytical criterion functions. In application to the lognormal stochastic volatility model, the proposed estimator is found to be competitive with the …
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Methods For Constructing Confidence Intervals For Quantile Regression Coefficients
… more popular approaches and can be applied to dependent data, as those that arise in longitudinal, cluster, spatial, and complex survey designs. Results of a simulation study seem to indicate that they may have correct coverage and similar or sometimes narrower confidence intervals than the …
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Assessment of the South Atlantic Red Porgy (<i>Pagrus pagrus</i>) Population Under a Moratorium
… red porgy, rely on a combination of fishery-dependent and fishery-independent data. When a moratorium is in place, the flow of fishery-dependent data is interrupted, making assessments more reliant on fishery-independent information. To investigate how loss of fishery-dependent data, as …
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Bayes Multiple Decision Functions: Theory, Computation and Application
… decisions based on one realization of a random data matrix X. M is typically large and X will usually have M rows associated with each of the M decisions to make, but for each row the data may be low dimensional. A Bayesian decision-theoretic approach for this problem is implemented with the …
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Statistical analysis of networks with community structure and bootstrap methods for big data
… dissertation concerns bootstrap methods for big data. Statistical analysis of networks with community structure: Networks are ubiquitous in today's world --- network data appears from varied fields such as scientific studies, sociology, technology, social media and the Internet, to name a few. An …
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Some Issues in Weak Local Independence in Item Response Theory
… and Reese (in press) for simulating locally dependent data, whose item pair dependencies relate directly to local dependence assessment procedures is discussed. This method is extended to allow for the simulation of local dependence that varies in magnitude across the examinee ability levels. …
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Smooth Test and Its Applications in Economics and Finance
… for the effect of parameter estimation and dependent data in the implementation of the smooth test. In the non-parametric case of comparing two densities I used the orders of the relative sizes of the two samples to get a consistent test. Monte Carlo simulation of these tests shows good …
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Examining Movement Dynamics of the Gulf Menhaden Fishery Using an Individual-based Model
… patronus</em> fishery. The fishery-dependent data collected by NOAA (years 2006-2009 and 2011) describe vessel-specific information on catch locations (latitude and longitude) and magnitude of harvest in metric tons (mt). A series of probability distribution functions (PDFs) were fit …
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Some aspects of empirical likelihood
… of Empirical Likelihood Tests With Weakly Dependent Data, we extend the result of Kitamura (2001) to stationary mixing data. The key thing inproving the large deviation optimality is that the empirical measure of the independently and identically distributed data will obey the large …
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Smoothed Online Learning: Theory and Applications
… learning are predicated on the assumption that data are independent and identically distributed. Motivated by the numerous applications that do not satisfy this assumption, many researchers have been interested in relaxations of this condition, with online learning being the weakest such …
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Geographic and Social Space in Latent Factor Models - Four Essays
… contexts that involve geographic and interaction data. We model unobserved sources of pollution in geophysical data, explore individual taste and mindsets in cross-cultural contexts, and predict the evolution of social relationships in software development projects. This combination of various …
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Transverse momentum dependent nucleon structure from pions impinged on a transversely polarized proton target
… distributions are called transverse momentum dependent (TMD) parton distribution functions. TMD functions include transverse quark and gluon momentum to parameterize the non-perturbative description of a nucleon. Eight TMDs parameterize a nucleon at leading order. The Sivers TMD is special in …
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Rendering from unstructured collections of images
… to work with uncalibrated images. * A time-dependent ULR algorithm, which generalizes the basic ULR algorithm to work with time-dependent data.
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Three Essays in Applied Econometrics: with Application to Natural Resource and Energy Markets
… states. The analysis is conducted with patent data related to renewable technology using wind power for the United States over the period 1983-2010. We run a panel data regression of a log transformation of states' yearly patent counts on state renewable energy policies and spatially weighted …
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Assessing Reliability of Expert Ratings Among Judges Responding to a Survey Instrument Developed to Study the Long Term Efficacy of the ABET Engineering Criteria, EC2000
… reliability (IRR) are pre-requisites for rater-dependent data analysis. A survey instrument cannot provide “good” information if it is not reliable; in other words, reliability is central to the validation of an instrument. When judges cannot be shown to reliably rate a performance, item, or …
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