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Bootstrapping Neural Networks [PDF]
Neural Computation, 2000 Knowledge about the distribution of a statistical estimator is important for various purposes, such as the construction of confidence intervals for model parameters or the determination of critical values of tests. A widely used method to estimate this distribution is the so-called bootstrap, which is based on an imitation of the probabilistic ...
Franke, Jürgen, Neumann, Michael
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Model Error (or Ambiguity) and Its Estimation, with Particular Application to Loss Reserving
Risks, 2023 This paper is concerned with the estimation of forecast error, particularly in relation to insurance loss reserving. Forecast error is generally regarded as consisting of three components, namely parameter, process and model errors.
Greg Taylor, Gráinne McGuire
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Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers
Econometrics, 2022 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
IEEE Access, 2019 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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MathematicsThe 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
Revista Cartográfica, 2019 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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Frontiers in Marine Science, 2021 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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BioTechniques, 2017 Sarah Webb explores how DIYbio strategies are helping biologists in traditional labs do better science.
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MathematicsEstimation 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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UNINFORMATIVE BOOTSTRAPPING [PDF]
Cladistics, 1996 The effect of uninformative characters on the “significance levels” obtained by bootstrapping in cladistic analysis is investigated empirically. Twenty‐eight data sets from Platnick's benchmarks are analysed with Siddall's Random Cladistics bootstrapping module and Farris’Hennig86 program, using 1000 replicates and exact calculations.
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