wild bootstrap
Adaptive wild bootstrap tests for a unit root with nonstationary volatility
... In this paper, we address this issue by deriving the asymptotic power envelope; that is, the maximum possible power against a sequence of local alternatives to the unit root, for a given and known realization of the ...
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A Wild Bootstrap approach for the selection of biomarkers in early diagnostic trials
... In this article nonparametric simultaneous confidence intervals for multiple AUC’s in diagnostic studies are pre- sented. Asymptotic intervals will be derived as well as intervals using the Wild Bootstrap ...
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Do MENA stock market returns follow a random walk process? Pages 165-172 Download PDF
... the wild bootstrap multiple variance ratio test, and the non-parametric rank scores test are adopted to test the random walk hypothesis (RWH) of stock markets in Middle East and North Africa (MENA) region ...
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A bootstrap stationarity test for predictive regression invalidity
... regressor wild bootstrap ...the bootstrap statistic, conditional on the data, is the same (to first-order) as the asymptotic null distribution of the statistic computed on the original data, ...
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Link of moments before and after transformations, with an application to resampling from fat-tailed distributions
... naive bootstrap proposed in these papers are either based on a smaller resampling size ( m out of n bootstrap and subsampling) or on a bootstrap sample size equal to the original sample size ...
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Properties of Time Varying Causality Tests in the Presence of Multivariate Stochastic Volatility
... This section conducts Monte Carlo simulations to compare the size and power proper- ties of causality tests under multivariate SV. The nominal size of the tests is 0.05, and we consider sample sizes T = 200 and 400. ...
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Bootstrapping realized multivariate volatility measures
... propose bootstrap methods for statistics based on multivariate high frequency returns, including the realized covariance, the realized regression and the realized correlation coeffi- ...i.i.d. bootstrap ...
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Testing explosive bubbles with time varying volatility
... a wild bootstrap procedure applied jointly to both individ- ual tests, delivering a powerful testing procedure that is asymptotically size-robust to a wide range of time-varying volatility ...
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Linear regression for data having multicollinearity, heteroscedasticity and outliers
... wild bootstrap based on MM-estimators and wild bootstrap based on OLS estimator procedure are also presented in Chapter ...robust wild bootstrap methods and modified robust ...
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A Heteroskedasticity Robust Breusch-Pagan Test for Contemporaneous Correlation in Dynamic Panel Data Models
... In view of this, one area of research has focused on cross-section dependence tests for large T and/or N panels. Frees (1995) has proposed a “distribution free” version of the Breusch-Pagan test based on squared ...
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Estimation OfHedging Effectiveness Of SGARCH Model
... In this segment, results from the hedging strategies based on bootstrap methods and SGARCH model are presented. To reduce the risk of spot portfolio, investments of both spot and future markets are merged to form ...
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Randomized Significance Tests in Machine Translation
... of bootstrap resampling and approximate randomization al- gorithms as presented in Riezler and Maxwell ...the bootstrap algorithm they provide uses an addi- tional shift-to-zero method of simulating the ...
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Molecular Dynamics Simulations Towards The Understanding of the Cis Trans Isomerization of Proline As A Conformational Switch For The Regulation of Biological Processes
... the bootstrap methods under the standard normal distribution and exponential ...(1997), bootstrap confidence intervals may not perform very well with small sample ...sizes. Bootstrap confidence ...
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Saturation in the hypercube and bootstrap percolation
... We also study weak saturation, which is a form of bootstrap percolation. Given graphs F and H, a spanning subgraph G of F is said to be weakly (F, H)-saturated if the edges of E(F) \ E(G) can be added to G one at ...
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Strong consistencies of the bootstrap moments
... Bickel and Freedman and Athreya used deep mathematics and hard inequalities to prove the consistency of the bootstrap sample mean to the population mean... Their proofs are not easily co[r] ...
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How to Bootstrap Anonymous Communication
... Definition 1 (Correctness). If she is using e.g. YouTube, she would need to use steganography to get an innocent looking stegotext , and Lea and Joe should use the inverse program for ex[r] ...
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A. Bootstrap and Jackknife Variance Estimation
... It follows that the equation EUAUSU = can be used to discover whether the data segment D has contributed more or less than it’s expected proportion of the overall uncertainty within the [r] ...
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Bootstrap Estimation of the Predictive Distributions of Reserves using Paid and Incurred Claims
... a bootstrap approach to estimate the prediction distributions of reserves produced by the Munich chain ladder (MCL) ...produce bootstrap distributions, this paper addresses the application of bootstrapping ...
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Asymptotic properties of wavelet based estimator in nonparametric regression model with weakly dependent processes
... structure. Bootstrap and blockwise are useful techniques of resampling, which can preserve the dependent properties of the data by ap- propriately choosing blocks of ...try bootstrap and blockwise methods ...
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