Results 31 to 40 of about 107,685 (262)
Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers
We propose an approach for jointly measuring global macroeconomic uncertainty and bilateral spillovers of uncertainty between countries using a global vector autoregressive (GVAR) model.
Graziano Moramarco
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Random Forests for Regression as a Weighted Sum of
In this paper, we tackle the problem of random forests for regression expressed as weighted sums of datapoints. We study the theoretical behavior of k-potential nearest neighbors (k-PNNs) under bagging and obtain an upper bound on the weights of a ...
Pablo Fernandez-Gonzalez +2 more
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Implementing conservation measures for data-limited species is a fundamental challenge for wildlife managers and policy-makers, and proves difficult for cryptic marine animals occurring in naturally low numbers across remote seascapes. There is currently
Phil J. Bouchet +13 more
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The Stationary Bootstrap [PDF]
Abstract This article introduces a resampling procedure called the stationary bootstrap as a means of calculating standard errors of estimators and constructing confidence regions for parameters based on weakly dependent stationary observations. Previously, a technique based on resampling blocks of consecutive observations was introduced to construct ...
Politis, Dimitris Nicolas +3 more
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The bootstrap, extensively studied during the last decade, has become a powerful tool in different areas of Statistical Inference. In this work, we present the main ideas of bootstrap methodology in several contexts, citing the most relevant ...
Prada Sánchez, José Manuel +2 more
core +1 more source
The Semi-variable Coefficient Spatial Lag Model (SVC-SLM) not only addresses the “dimension disaster” associated with the Varying Coefficient Spatial Lag Model(VC-SLM), but also overcomes the non-linear problem of the variable coefficient, and fully ...
Qiong Pang, Xijian Hu
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Comparación del método de Thiessen con alternativas más simples mediante simulación de Monte Carlo
La estimación del valor esperado de una función sobre áreas geográficas es un problema que data de tiempo atrás. Hasta principios del siglo XX el método más común solía ser calcular la media aritmética de las medidas obtenidas en el campo, ignorando su ...
Marcelo Guelfi, Carlos López-Vázquez
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Bootstrap, Wild Bootstrap and Generalized Bootstrap [PDF]
Some modifications and generalizations of the bootstrap procedurehave been proposed. In this note we will consider the wild bootstrap and the generalized bootstrap and we will give two arguments why it makes sense touse these modifications instead of the original bootstrap.
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A Weighted Bootstrap Approach to Bootstrap Iteration
Summary The operation of resampling from a bootstrap resample, encountered in applications of the double bootstrap, maybe viewed as resampling directly from the sample but using probability weights that are proportional to the numbers of times that sample values appear in the resample.
Hall, Peter, Maesono, Y
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Estimation of reliability and stress–strength parameters is important in the manufacturing industry. In this paper, we develop shrinkage-type estimators for the reliability and stress–strength parameters based on progressively censored data from a rich ...
Syed Ejaz Ahmed +3 more
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