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Showing 1 to 20 of 436 for “"bootstrap"”.

  1. Extremal and probabilistic bootstrap percolation

    … several extremal and probabilistic problems in bootstrap percolation on various families of graphs, including grids, hypercubes and trees. Bootstrap percolation is one of the simplest cellular automata. The most widely studied model is the so-called r-neighbour bootstrap percolation, in which we …

    cambridge Repository record for Extremal and probabilistic bootstrap percolation (opens in a new tab)

  2. Application of bootstrap resampling in fMRI

    This thesis demonstrates the use of the bootstrap resampling technique considering temporal dependency in the fMRI data to determine the reliability and confidence interval of fMRI parameters. Traditionally, the test-retest method has been used to reliably detect active voxels in the fMRI image of …

    njit Repository record for Application of bootstrap resampling in fMRI (opens in a new tab)

  3. Extensions of Markov Chain Marginal Bootstrap

    The Markov chain marginal bootstrap (MCMB) is a new bootstrap method proposed by He and Hu (2002) for constructing confidence intervals or regions based on likelihood equations. It is designed to ease the computational burden of bootstrap in high-dimensional problems. It differs from the usual …

    uiuc Repository record for Extensions of Markov Chain Marginal Bootstrap (opens in a new tab)

  4. Bootstrap financing applied by South African entrepreneur

    … new businesses. These techniques are defined as bootstrap financing techniques. Further to this the research then set out to determine whether the application of the identified techniques differed based on certain predefined characteristics of the business and entrepreneur. The study was based on …

    pretoria Repository record for Bootstrap financing applied by South African entrepreneur (opens in a new tab)

  5. Bias Reduction of Estimates By Bootstrap Method

    … show by direct computation that the bias of the bootstrap estimate of μ⁴ can be reduced, where μ is the mean of the population. We consider both nonparametric and parametric cases. In the parametric case, the bias of the bootstrap estimate is computed for normal, exponential and Poisson …

    mo-state Repository record for Bias Reduction of Estimates By Bootstrap Method (opens in a new tab)

  6. EXPLORATIONS IN QUANTUM GRAVITY AND CONFORMAL BOOTSTRAP

    In this thesis, I apply numerical and analytical bootstrap techniques for a better understanding of quantum gravity. Each chapter is separated by subject. Chapter two is about a proof of the averaged null energy condition (ANEC) in flat spacetime for relativistic quantum field theories in more than …

    cornell Repository record for EXPLORATIONS IN QUANTUM GRAVITY AND CONFORMAL BOOTSTRAP (opens in a new tab)

  7. Bootstrap Techniques in Flat Space and Cosmology

    … models. This thesis focuses on the cosmological bootstrap, a research program that attempts to derive features of cosmological fluctuations from simple physical principles expected to be satisfied in the early Universe. I study the effect of background curvature on standard soft theorems and its …

    cambridge Repository record for Bootstrap Techniques in Flat Space and Cosmology (opens in a new tab)

  8. The cosmological bootstrap and the analytic wavefunction

    … This led to the rise of the cosmological bootstrap, which aims at constraining cosmological observables in a model independent way. This is achieved by directly imposing physical principles such as unitarity, locality, symmetry, and analyticity on cosmological correlators. In this thesis …

    cambridge Repository record for The cosmological bootstrap and the analytic wavefunction (opens in a new tab)

  9. The bootstrap approach to autoregressive time series analysis

    Please read the abstract in the section 00front of this document Accompanied by 1 disc available at main counter with shelf number EM 519.5 DE KOSTER. Master copy at back of book

    pretoria Repository record for The bootstrap approach to autoregressive time series analysis (opens in a new tab)

  10. Markov Chain Marginal Bootstrap for Generalized Estimating Equations

    … this thesis, we extend the Markov chain marginal bootstrap (MCMB) (He and Hu, 2002) to statistical inference for robust GEE estimators with longitudinal data, allowing the estimating functions to be non-smooth and the responses correlated within subjects. By decomposing the problem into …

    uiuc Repository record for Markov Chain Marginal Bootstrap for Generalized Estimating Equations (opens in a new tab)

  11. Bootstrap-based confidence intervals in partially accelerated life testing

    … In this study, parametric and nonparametric bootstrap based methods for obtaining confidence intervals for the parameters of the life distribution as well as a the lower confidence bound for the mean life under normal conditions are developed for both the Weibull and Generalized exponential …

    must-thes Repository record for Bootstrap-based confidence intervals in partially accelerated life testing (opens in a new tab)

  12. Three essays on crime policy and the Bayesian bootstrap

    … for quantiles constructed using Bayesian bootstrap techniques and show that credible intervals constructed using the "continuity-corrected" Bayesian bootstrap (Banks, 1988) have frequentist coverage probability error of only O(n⁻¹). In addition, I show that these "continuity-corrected" …

    missouri Repository record for Three essays on crime policy and the Bayesian bootstrap (opens in a new tab)

  13. Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators

    Kriging is a widely used group of techniques for predicting unobserved responses at specified locations using a set of observations obtained from known locations. Kriging predictors are best linear unbiased predictors (BLUPs) and the precision of predictions obtained from them are assessed by the …

    cape-town Repository record for Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators (opens in a new tab)

  14. Simulating Statistical Power Curves with the Bootstrap and Robust Estimation

    … power for a given statistical test using bootstrap methods (Efron, 1993). However, this method is not widely known or utilized in data analysis settings. This research study examined the practical importance of combining robust measures of location with nonparametric power analysis. …

    unt Repository record for Simulating Statistical Power Curves with the Bootstrap and Robust Estimation (opens in a new tab)

  15. Bootstrap methods and parameter estimation in time series threshold modelling

    The aim of this thesis is to investigate of bootstrap methods (Efron, 1979), in the the performance estimation of parameter estimates in non-linear time series models, in particular SETAR models (Tong, 1993). First and higher order SETAR models in known and unknown thresholds cases are considered. …

    salford

  16. Essays in Spatial Econometrics: Estimation, Specification Test and the Bootstrap

    … econometrics: estimation, specification and the bootstrap.</p><p>In Chapter 1, we first generalize an approximate measure of spatial dependence, the APLE statistic in Li et al (2007), to a spatial Durbin (SD) model. This generalized APLE takes into account exogenous variables directly and can be …

    ohiolink Repository record for Essays in Spatial Econometrics: Estimation, Specification Test and the Bootstrap (opens in a new tab)

  17. Beyond the Bootstrap: Social and Cultural Capital in Hispanic Entrepreneurship

    … trust. Ultimately, I introduce the Beyond the Bootstrap Model. This framework shifts the community narrative from necessity-based entrepreneurship toward generational correction. A central discovery of this research suggests that Hispanic innovators are uniquely poised for collective growth, …

    houston Repository record for Beyond the Bootstrap: Social and Cultural Capital in Hispanic Entrepreneurship (opens in a new tab)

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