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.
Results
Showing 1 to 16 of 16 for “"non-parametric model"”.
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Data-Driven, Non-Parametric Model Reference Adaptive Control Methods for Autonomous Underwater Vehicles
… from the standard six degree-of-freedom dynamic model. I apply two model reference adaptive control (MRAC) algorithms which make use of kernel functions for learning functional uncertainty present in the system dynamics. The first method extends recent results on model reference adaptive control …
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Hidden states, hidden structures: Bayesian learning in time series models
… inference of system state and the learning of model structure for a number of hidden-state time series models, within a Bayesian probabilistic framework. Motivating examples are taken from application areas including finance, physical object tracking and audio restoration. The work in this …
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Asset allocation and Regulation 28
… (1952) efficient frontier framework and a non-parametric model. With offshore allocation increased to 25% and an additional 5% to African (ex SA) markets the study also explores the diversification prospects to international, emerging and African (exSA) markets. The findings suggest that …
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Contribution au classement des fruits par analyse d'images numériques. Application au tri en ligne des pommes Golden delicious et Jonagold.
… by their uniform colour. This later was modelled by a multivariate Gaussian distribution and the defect detection was carried out by computing the Mahalanobis distance separating a pixel's colour and the mean colour of the fruit. For Jonagold apples, having a multimodal colour frequency …
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Cure Rate Model with Spline Estimated Components
… the whole population and the hazard rate of the noncured subpopulation. The existing methods for cure rate models have been limited to parametric and semiparametric models. More specifically, the hazard function part is estimated by parametric or semiparametric model where the effect of covariate …
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Detection and Decoding: New Learning-Based Algorithms and Their Fundamental Limits
… after a split point in a time series, using a non-parametric model to detect changes. We provide theoretical justification and accuracy guarantees for the proposed approach, highlighting its robustness and reliability.
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Nuisance Parameter Estimation in Survival Models
The Cox proportional hazards model is the most commonly used method for right-censored data. Unfortunately, the interpretation of the hazard ratio is non-intuitive and it is commonly misinterpreted as a relative risk. This motivates alternative methods with more intuitive interpretations that avoid …
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Non-Parametric Spatial Models
… play a central role in spatial statistics. Parametric covariance functions have been used in most of the existing works on the analysis of spatial data. The primary reason for this is that the classes of parametric covariance functions guarantee that the fitted covariance function is …
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Latent feature models and non-invasive clonal reconstruction
… constraints or posit a perfect phylogeny. Models of the first type are typically latent feature models that can describe the observed data flexibly, but whose results may not be reconcilable with a phylogeny. The second type, instead, generally comprises non-parametric mixture models, with …
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DATA-DRIVEN BAYESIAN METHOD-BASED TRAFFIC CRASH DRIVER INJURY SEVERITY FORMULATION, ANALYSIS, AND INFERENCE
… prior information and studied datasets, Bayesian models are efficient methods in data analysis with more accurate results, but their applications in traffic safety studies are still limited. By examining the driver injury severity patterns, this research is proposed to systematically examine the …
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Non-parametric competing risks with multivariate frailty models
… competing risks and (ii) random eect (frailty) models. The theory of competing risks provides a structure for inference in problems where cases are subject to several types of failure. Random eects in competing risk models consist of two underlying distributions: the conditional distribution of …
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Learning-Based Methods for Spacecraft Dynamics Modeling, Filtering, and Predictive Control
Spacecraft motion under model uncertainty arises in many on-orbit assembly, servicing, and assistance scenarios, including tasks requiring manipulation of unknown grappled objects. Traditionally, adaptive model-based control approaches have relied on an analytical dynamics model with a set of …
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Essays on Experimental Design
… heterogeneity. Previous approaches model this heterogeneity by assigning each unit a one-dimensional, discrete latent type, which can be estimated by regression clustering methods. In this paper, I show that such models can be misspecified, even when the panel has significant …
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Shape Dynamical Models for Activity Recognition and Coded Aperture Imaging for Light-Field Capture
… and computer vision have typically dealt with modeling, learning and recognizing static patterns in images and videos. There are, of course, in nature, a whole class of patterns that dynamically evolve over time. Human activities, behaviors of insects and animals, facial expression changes, lip …
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Διερεύνηση της παραγωγικής αποτελεσματικότητας στο ευρωπαϊκό τραπεζικό σύστημα υπό καθεστώς πολλαπλής τεχνολογικής ετερογένειας : ο ρόλος της διάχυσης της γνώσης, της ικανότητας απορρόφησης και του στρατηγικού προσανατολισμού των τραπεζικών επιχειρήσεων
Στην παρούσα διατριβή αναπτύσσεται ένα ολοκληρωμένο μεθοδολογικό πλαίσιο για την ανάλυση της παραγωγικής αποτελεσματικότητας επιχειρήσεων που λειτουργούν σε περιβάλλον πολλαπλής τεχνολογικής ετερογένειας. Με βάση την έννοια των μετα-μεταορίων, ορίζονται μέτρα αποτελεσματικότητας και τεχνολογικών …
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X-ray microscope performance enhancement through control architecture change
The goal of this thesis is to apply control algorithms to improve the performance of nanopositioning devices used on the beamline in Advanced Photon Source (APS) at Argonne National Laboratory (ANL). A prototype device, better known as the Early User Instrument (EUI) was the subject of this work. …