bootstrap samples
Random Rotation Ensembles
... same bootstrap samples and related feature subset selections at each decision branch for the two trees – the resulting tree is not merely a rotated version of the unrotated tree but is, in fact, a very ...
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INFERENTIAL PROCEDURES BASED ON THE DOUBLE BOOTSTRAP FOR LOG LOGISTIC REGRESSION MODEL WITH CENSORED DATA
... Double bootstrap (DB) is a sampling procedure that involves resampling from the bootstrap ...single bootstrap as it has higher order of ...ordinary bootstrap by estimating an error and using ...
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Improved Confidence Intervals in Quantitative Trait Loci Mapping by Permutation Bootstrapping
... of bootstrap samples to generate the corrected distribu- QTL was at the start of the chromosome and signifi- tion for interval computation that is between 100 and cantly increased for this method when the ...
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Bias in parametric estimation : reduction and useful side effects
... This strategy lies between fully nonparametric boot- strap and fully parametric bootstrap (see Ref 13, § 7). Residual resampling works well in multiple linear regression because the response is related linearly to ...
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Stable feature selection and classification algorithms for multiclass microarray data
... The bootstrap resampling is computationally ...the bootstrap resampling tech- nique is the number of resampling iterations ...500 bootstrap samples only once to reduce the variability of ...
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Testing for a structural change of gradient in regression modelling
... the bootstrap samples and also summarises the single break model using k=16 (corresponding to ...B=5,000 bootstrap samples, provides an estimated p-value of ...5,000 bootstrap ...
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Feature selection and validated predictive performance in the domain of Legionella pneumophila: a comparative study
... a bootstrap strategy for preselecting important features to a database containing 222 Legionella pneumophila strains with 448 continuous markers and a dichotomous outcome (clinical or ...50 bootstrap ...
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Bootstrap Confidence Intervals of the Difference between Two Process Capability Indices for Half Logistic Distribution
... three bootstrap confidence intervals of the difference between two process capability indices for half logistic distribution is ...1,000 bootstrap samples with each of size n are drawn from the ...
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Jackknife And Bootstrap Techniques In The Estimation of regression Parameters
... B=10000 bootstrap samples are randomly generated to show the exact feature of the bootstrap processes and the distributions of regression parameter of bootstrap estimations ( ˆ J )which were ...
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Methodology for Constructing a Short Term Event Risk Score in Heart Failure Patients
... Tufféry [26] wrote that logistic models built from bootstrap samples are too similar for their aggregation to really differ from the base model built on the en- tire sample. This is in agreement with an ...
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Generalised block bootstrap and its use in meteorology
... the bootstrap methodology has become more and more widespread in different areas of statistical ap- ...where bootstrap may be ...The bootstrap samples must match the dependence within the ...
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Weighted Bootstrap Approach for the Variance Ratio Tests: A Test of Market Efficiency
... Table 1 presents the size properties of the MVR, AVR, MVR * and AVR * test. We find severe size distortion across all data generating processes for all sample sizes for MVR and AVR test. But even after applying weighted ...
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A model based on Rock-Eval thermal analysis to quantify the size of the centennially persistent organic carbon pool in temperate soils
... of predictor variables (X) made of the 30 centered and scaled RE6 parameters. The non-parametric and non-linear machine learning technique of random forests (RF, Breiman, 2001; Strobl et al., 2009) was used to build this ...
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Perturbation Bootstrap in Regression.
... perturbation bootstrap was introduced by Jin, Ying, and Wei (2001) as a resampling procedure where the objective function has a U-process ...perturbation bootstrap in the linear regression setup is ...
163
Bootstrap Estimation of the Predictive Distributions of Reserves Using Paid and Incurred Claims
... When applying bootstrapping, this triangle is considered as the observed sample. The new generated pseudo samples are obtained by random drawing, with replacement, from the triangle of quadruples. The re-sampled ...
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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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How to Bootstrap Anonymous Communication
... of x with a new key for the PRF. Finally we change the obfuscated circuit and let it recover the message x from the second ciphertext. Thanks to the SSB property of the commitment scheme it is possible to prove, in a ...
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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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Stepwise haplotype analysis: Are LD patterns repeatable?
... Regression approaches are better suited to hypothesis generation than to inference, due to the large number of models evaluated, but repeatability is of importance when assessing the utility of these methods. Data from ...
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