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1. On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models: (Publication); ... with replication and bootstrap. © 2019 Institut d'Estadistica de Catalunya. All rights reserved. ...; Created on 25 September 2019
2. Predicting pollution incidents through semiparametric quantile regression models: (Publication); ... to forecast the pollution episodes. This test is based on a wild bootstrap approach modified to suit asymmetric loss functions, as occurs in quantile regression. The validity of the method was checked ...; Created on 18 September 2019
3. Goodness-of-fit tests for parametric specifications of conditionally heteroscedastic models: (Publication); ... the test statistic under the null hypothesis is studied. Since this distribution depends on unknown quantities, two bootstrap resampling schemes are investigated and compared in order to approximate critical ...; Created on 17 September 2019
4. Testing critical points of nonparametric regression curves: application to the management of stalked barnacles: (Publication); Several aquatic living resources are overexploited. An example of this is a barnacle fishery, which is a commercial species that commands high prices in the market. We feel that not enough is known about ...; Created on 23 August 2019
5. Testing for the Poisson-Tweedie distribution: (Publication); ... The null distribution of the test can be consistently approximated by a parametric bootstrap. The goodness of the bootstrap estimator and the power for finite sample sizes are numerically assessed. Comparisons ...; Created on 09 October 2018
6. Approximating the null distribution of a class of statistics for testing independence: (Publication); ... functions associated with a sample is considered. Since the null distribution of these test statistics is unknown, some approximations are investigated. Specifically, the permutation, bootstrap and weighted ...; Created on 09 October 2018
7. A two-sample test for the error distribution in nonparametric regression based on the characteristic function: (Publication); ... error distribution. To approximate the null distribution, a weighted bootstrap estimator is studied, providing a consistent estimator. The finite sample performance of this approximation as well as the ...; Created on 09 October 2018
8. Bootstrap-based testing approaches for the assessment of the diagnostic accuracy of biomarkers subject to a limit of detection ...: (Publication); ... Proposed approaches are simulation-based utilising bootstrap methodology. Non-parametric alternatives that are naively used in the literature do not solve the inherent problem of limit of detection values ...; Created on 09 October 2018
9. Bayesian nonparametric inference for the covariate-adjusted ROC curve: (Publication); ... the use of the covariate-adjusted ROC curve and develop a highly robust model based on a combination of B-splines dependent Dirichlet process mixture models and the Bayesian bootstrap. Multiple simulatio ...; Created on 10 October 2018
10. Quantile regression and its empirical likelihood with missing response at random: (Publication); ... distribution. A simulation study is done to investigate the finite sample performance of the estimators and compare the difference of the proposed EL method and bootstrap approach. ...; Created on 01 October 2018
11. Minimum Penalized phi-Divergence Estimation under Model Misspecification: (Publication); ... model parameters. These estimators are shown to converge to a well-defined limit. An application of the results obtained shows that a parametric bootstrap consistently estimates the null distribution of ...; Created on 01 October 2018
12. Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis ...: (Publication); ... receiver-operating characteristic curve within the above-mentioned class. Specifically, two different bootstrap-based tests are suggested to check (a) the possible effect of continuous covariates on the ...; Created on 22 May 2018
13. Computationally Efficient Goodness-of-Fit Tests for the Error Distribution in Nonparametric Regression: (Publication); ... by means of a parametric bootstrap which, under certain conditions, provides a consistent estimator. This paper considers a goodness-of-fit test whose test statistic is an L-2 norm of the difference between ...; Created on 14 May 2018
14. A weighted bootstrap approximation for comparing the error distributions in nonparametric regression ...: (Publication); ... means of a smooth bootstrap (SB) estimator. This paper proposes to approximate their null distribution through a weighted bootstrap. It is shown that it produces a consistent estimator. The finite sample ...; Created on 09 October 2018
15. Convergence in distribution of the L2-deviations of the kernel-type variogram estimators with applications: (Publication); ... by appealing to the bootstrap approaches. Numerical studies with simulated and real data have been developed to illustrate the potentiality of our results, in order to check the appropriateness of a variogram ...; Created on 23 January 2018
16. Empirical characteristic function tests for GARCH innovation distribution using multipliers: (Publication); ... bootstrap (PB). Although easy to implement, the PB can become very computationally expensive for large sample sizes, which is typically the case in applications of these models. This work proposes to approximate ...; Created on 23 January 2018
17. Assessing planar asymmetries in shipbuilding from point clouds: (Publication); ... cloud. Also bootstrap-based procedures are proposed for testing a null hypothesis establishing that the surface has planar symmetry. After checking the validity of the proposed methodology with simulated ...; Created on 18 September 2017
18. Minimum distance estimators for count data based on the probability generating function with applications: (Publication); ... model is misspecified. Three applications of the obtained results are considered. First, we revisit the goodness-of-fit problem for count data and propose a weighted bootstrap estimator of the null distribution ...; Created on 18 September 2017
19. Fast tests for the two-sample problem based on the empirical characteristic function: (Publication); ... by means of bootstrap or permutation procedures. Although very easy to implement, such procedures can become computationally expensive as the sample size or the dimension of the data increase. This paper ...; Created on 18 September 2017
20. A class of tests for the two-sample problem for count data: (Publication); ... The tests can be applied to count data of any arbitrary fixed dimension. Since the null distribution of the test statistic is unknown, some approximations are investigated. Specifically, the bootstrap, ...; Created on 18 September 2017
21. FWDselect: An R Package for Variable Selection in Regression Models: (Publication); ... ii) search for the number of covariates to be included in the model based on bootstrap resampling techniques. The software is illustrated using real and simulated data. ...; Created on 08 September 2017
22. Boostrap-based procedures for inference in nonparametric ROC regression analysis: (Publication); ... Speciﬁcally, two diﬀerent bootstrap-based tests are suggested to check (a) the possible eﬀect of continuous covariates on the ROC curve; and (b) the presence of factor-by-curve interaction terms. The validity ...; Created on 10 December 2016
23. A goodness-of-fit test for the multivariate Poisson distribution: (Publication); ... approximated by a parametric bootstrap and by a weighted bootstrap. The goodness of these bootstrap estimators and the power for finite sample sizes are numerically studied. It is shown that the proposed ...; Created on 04 November 2016
24. Model checks for nonparametric regression with missing data: a comparative study: (Publication); ... replaces the missing observations with imputed values. In the case of missing covariates, a link model is used to fill the missing observations with other complete covariates. In all the situations, Bootstrap ...; Created on 04 November 2016
25. Predicting malignant and tuberculous pleural effusions through demographics and pleural fluid analysis of patients effusions: (Publication); ... a significantly high proportion of patients with tuberculosis (85.8%) and cancer (81.6%). The incorrect classification rate was 17.8%, which increased to 19.5% in the correction using bootstrap. ConclusionsThe ...; Created on 01 September 2017
26. Tests for the equality of conditional variance functions in nonparametric regression: (Publication); ... and under local alternatives. We show how to approximate the critical values using either an estimated version of the asymptotic null distribution or a bootstrap procedure. Simulation studies are conducted ...; Created on 31 August 2017
27. Fast goodness-of-t tests based on the characteristic function: (Publication); ... the null hypothesis, is considered. The null distribution is usually estimated through a parametric bootstrap. Although very easy to implement, the parametric bootstrap can become very computationally ...; Created on 31 August 2017
28. Goodness-of-fit tests for a semiparametric model under random double truncation: (Publication); Doubly truncated data are commonly encountered in areas like medicine, astronomy, economics, among others. A semiparametric estimator of a doubly truncated random variable may be computed based on a parametric ...; Created on 04 September 2017
29. A statistical method for geometry inspection from point clouds: (Publication); ... of an object fits the theoretical shape and dimensions of the object. An algorithm based on bivariate kernel smoothers is used to nonparametrically estimate the surface of the object and bootstrap-based ...; Created on 04 September 2017
30. Point cloud comparison under uncertainty. Application to beam bridge measurement with terrestrial laser scanning: (Publication); ... two surfaces are adjusted to each of the point clouds by means of a kernel smoothing technique and compared. Finally, the effect of uncertainty in the point coordinates is considered by means of a bootstrap ...; Created on 04 September 2017
31. Validating the supporting structure of a parabolid solar collector using close range photogrammetry: (Publication); ... kernel smoothing and bootstrapping methods. The technique was applied to a 12 m long parabolic trough collector module with a newly designed supporting structure. The analysis revealed that there were ...; Created on 04 September 2017
32. A Bootstrap-Based Covariate Selection Method for Modelling the Risk of Lightning-Induced Fires at a Local Scale: A Case Study in Northwest Spain ...: (Publication); ... province of León (northwest Spain). A bootstrap-based test was used to obtain the optimal number of predictors and to model this optimal number of predictors displaying the largest area under the receiver ...; Created on 04 September 2017
33. Studying the bandwidth in k-sample smooth tests: (Publication); In this paper, the problem of bandwidth choice in smooth k-sample tests is considered. Three different bootstrap methods are discussed and implemented. All the methods persecute the bandwidth leading to ...; Created on 04 September 2017
34. Terrestrial laser scanning used to detect asymmetries in boat hulls: (Publication); ... using a nonparametric regression method that permitted the construction of a continuous smooth surface. Asymmetries in cross-sections of the surface were identified using a bootstrap resampling technique ...; Created on 08 September 2017
35. Selecting variables in regression models. A new approach to the prediction of time series of SO2: (Publication); ... coefficient or Akaike Information Criterion) and taking into account the computational cost. Additionally, bootstrap resampling techniques are used to implement tests capable of detecting whether significant ...; Created on 21 September 2017
36. An R Package For Analyzing Factor‐By‐Curve Interactions: (Publication); ... feature of the package is its ability to draw inferences about critical points, such as maxima or change points linked to the derivative curves. Bootstrap methods were implemented to draw inferences from ...; Created on 21 September 2017
37. ROC curve and covariates: extending induced methodology to the non-parametric framework: (Publication); ... mean, but also on the variance of the diagnostic test. We also present a bootstrap-based method for testing for a significant covariate effect on the ROC curve. To illustrate the method, endocrine data ...; Created on 08 September 2017
38. Selecting variables in regression models. A new approach to the prediction of time series of SO2: (Publication); ... coefficient or Akaike Information Criterion) and taking into account the computational cost. Additionally, bootstrap resampling techniques are used to implement tests capable of detecting whether significant ...; Created on 08 September 2017
39. A new approach to estimation of length-weight relationship of Pollicipes pollicipes (Gmelin, 1789) on the Atlantic coast of Galicia (NW Spain). Some aspects of its biology and management: (Publication); This study was undertaken using data drawn from 5 sites along the Atlantic shoreline of Galicia (Northwest Spain) for a period of 2 y. The length—weight relationship of Pollicipes pollicipes (Gmelin, 1789) ...; Created on 08 September 2017
40. Assessing neural activity related to decision-making through flexible odds ratio curves and their derivatives: (Publication); ... based on generalized additive models, including factor‐by‐curve‐type interactions to be flexibly estimated. Bootstrap methods were used to draw inferences from the derivatives curves, and binning techniques ...; Created on 08 September 2017
41. A new flexible direct ROC regression model: Application to the detection of cardiovascular risk factors by anthropometric measures: (Publication); The receiver operating characteristic (ROC) curve is the most widely used measure for evaluating the accuracy of diagnostic tests in terms of differentiating between two conditions. It is known that, in ...; Created on 08 September 2017
42. An R Package For Analyzing Factor‐By‐Curve Interactions: (Publication); ... feature of the package is its ability to draw inferences about critical points, such as maxima or change points linked to the derivative curves. Bootstrap methods were implemented to draw inferences from ...; Created on 08 September 2017
43. A semiparametric estimator of the bivariate distribution function for censored gap times: (Publication); ... regression curves. We investigate the conditions under which the introduced estimator is consistent. We explore the finite sample behavior of the estimator and of its bootstrap standard error through ...; Created on 08 September 2017
44. Modelling masonry arches deformation measurement through terrestrial laser scanning data and non parametric modelling procedures: (Publication); Since masonry arch is one of the most common structural forms in both historic bridges and in architecture across the world such as domes and vaults, its dimensional and structural analysis is still the ...; Created on 08 September 2017
45. Bootstrap-based methods for testing factor-by-curve interactions in generalized additive models: assesing prefrontal cortex neural activity related to decision-making ...: (Publication); Created on 12 September 2017