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Showing 1 to 14 of 14 for “"Optimal bandwidth"”.
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Optimal bandwidth selection rule for kernel regression estimator with dependent variables
… in applying a kernel estimator is the choice of bandwidth. The main purpose of this work is to establish asymptotic optimality for a bandwidth selection rule under dependence which can be interpreted in terms of cross validation. In addition, some moment bounds for dependent variables will be …
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On Variable Bandwidth Kernel Density And Regression Estimation
We study the ideal variable bandwidth kernel density estimator introduced by McKay (1993) and the plug-in practical version of the variable bandwidth kernel density estimator with two sequences of bandwidths as in Ginè and Sang (2013).We estimate the variance of the variable bandwidth kernel …
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Bandwidth Selection for Level Set Estimation in the Context of Regression and a Simulation Study for Non Parametric Level Set Estimation When the Density Is Log-Concave
Bandwidth selection is critical for kernel estimation because it controls the amount of smoothing for a function's estimator. Traditional methods for bandwidth selection involve optimizing a global loss function (e.g. least squares cross validation, asymptotic mean integrated squared error). …
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An embedded controller for quad-rotor flying robots running distributed algorithms
… is proposed. Network limitations, such as sub-optimal bandwidth and finite communication range, are implemented in hardware-in-the-loop simulations to determine system performance. A novel coverage algorithm for multiple hovering robots with downward facing cameras is then demonstrated on the …
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A Comparison of Kernel Equating and Traditional Equipercentile Equating Methods and the Parametric Bootstrap Methods for Estimating Standard Errors in Equipercentile Equating
… Post-stratification equating (PSE) with small or optimal bandwidth can produce results similar to those from the traditional frequency estimation method. Using the same data for equating under the EG design, the parametric bootstrap method was compared to the nonparametric bootstrap method and the …
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Kernel Estimators in Complex Data Analysis
… of kernel estimators. In Chapter 2, we develop a bandwidth (matrix) selector for multivariate kernel density estimators of level sets and highest density regions. We consider a different loss function from the one used in classical bandwidth selection problem and derive an asymptotic approximation …
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Adaptive format conversion information as enhancement data for the high-definition television migration path
… in each block. Research shows that the bandwidth required for this type of enhancement information is small, yet the improvement in video quality is significant. This thesis focuses on the migration from 10801 to 1080P using adaptive deinterlacing. Two main questions are answered. First, …
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Network Traffic Control Based on Modern Control Techniques: Fuzzy Logic and Network Utility Maximization
… which routers are deployed with intelligent or optimal data rate controllers to tackle the traffic mass. The first one is called the IntelRate (Intelligent Rate) controller using the fuzzy logic theory. Unlike other explicit traffic control protocols that have to estimate network parameters …
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Extrapolation and bandwidth choice in the regression discontinuity design
… Boston. The third chapter develops an adaptive bandwidth choice algorithm for local polynomial regression-based RD estimators. The first chapter develops a latent factor-based approach to RD extrapolation that is then used to estimate effects of exam school attendance for infra-marginal 7th …
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Efficient Allocation And Enforcement Of Interfaces In Compositional Real-Time Systems
… Specifically, we can obtain efficient and near-optimal bandwidth allocation schemes and admission controllers for periodic resource model and arbitrary demand-based interface respectively. Furthermore, efficient slack reclamation technique can be obtained to allocate unused processing resources …
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Optimization methods for active and passive localization
… by the transmitters may differ in power and bandwidth. Such resources are often limited and distributed uniformly among the transmitters. However, previous studies based on the well known Cramer-Rao lower bound have shown that the localization accuracy depends on the locations of the …
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Transceiver design and system optimization for ultra-wideband communications
… to account for variations across the ultra-wide bandwidth of the signal. Achievable information rates are quantified as a function of transmission distance over additive white Gaussian noise and multipath channels under specific UWB constraints: limited power spectral density, specific modulation …
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multimedia transmission over wireless networks: performance analysis and optimal resource allocation
… video streaming, which are delay sensitive and bandwidth intensive, have started to account for a significant portion of the data traffic in wireless networks. Such multimedia applications require certain quality of service (QoS) guarantees in terms of delay, packet loss, buffer underflows and …
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Improving partial mutual information based input variable selection for data driven environmental and water resources models
… (PDFs), which rely on estimates of kernel bandwidths (or smoothing parameters) and in most studies, the Gaussian reference rule is used for this purpose, which only results in optimal bandwidth estimates if the modelling data follow a Gaussian distribution. However, this is unlikely to be …