Results 41 to 50 of about 107,685 (262)
SSRN Electronic Journal, 2011 We propose a methodology for constructing confidence regions with partially identified models of general form. The region is obtained by inverting a test of internal consistency of the econometric structure. We develop a dilation bootstrap methodology to deal with sampling uncertainty without reference to the hypothesized economic structure.
Galichon, Alfred, Henry, Marc
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SIAM Journal on Mathematics of Data Science, 2021 Probabilistic models of data sets often exhibit salient geometric structure. Such a phenomenon is summed up in the manifold distribution hypothesis, and can be exploited in probabilistic learning. Here we present normal-bundle bootstrap (NBB), a method that generates new data which preserve the geometric structure of a given data set.
Ruda Zhang, Roger G. Ghanem
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Bootstrap Confidence Intervals for Multiple Change Points Based on Two-Stage Procedures
EntropyThis paper investigates the construction of confidence intervals for multiple change points in linear regression models. First, we detect multiple change points by performing variable selection on blocks of the input sequence; second, we re-estimate ...
Li Hou +3 more
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CLEI Electronic Journal, 2016 This paper presents the development and evaluation of PICTOAPRENDE, which is an interactive software designed to improve oral communication. Additionally, it contributes to the development of children and youth who are diagnosed with autism spectrum ...
Andrea Cárdenas +5 more
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Journal of Civil Engineering and Management, 2009 An application of fragility functions to the assessment of potential damage due to an accidental action is analysed. The assessment is carried out as an estimation of the probability of a foreseeable damage event (damage probability). This probability is
Egidijus R. Vaidogas +1 more
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Exchangeably Weighted Bootstraps of General Markov U-Process
Mathematics, 2022 We explore an exchangeably weighted bootstrap of the general function-indexed empirical U-processes in the Markov setting, which is a natural higher-order generalization of the weighted bootstrap empirical processes.
Inass Soukarieh, Salim Bouzebda
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Entropy, 2019 : The Gutenberg-Richter Law describes the frequency-magnitude distribution of earthquakes. A number of studies have shown that the slope (b value) of the relationship between frequency and magnitude decreased before large earthquakes.
Weiyun Xie, Katsumi Hattori, Peng Han
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Stats, 2023 To address the difficult problem of the multi-step-ahead prediction of nonparametric autoregressions, we consider a forward bootstrap approach. Employing a local constant estimator, we can analyze a general type of nonparametric time-series model and ...
Dimitris N. Politis, Kejin Wu
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Bootstrap predictive inference for ARIMA processes [PDF]
, 2004 In this study, we propose a new bootstrap strategy to obtain prediction intervals for autoregressive integrated moving-average processes. Its main advantage over other bootstrap methods previously proposed for autoregressive integrated processes is that ...
Pascual, Lorenzo +3 more
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Molecular Oncology, EarlyView.Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source