Empirical results underscore the effectiveness of the proposed bootstrap prediction intervals, revealing their suitability to complement the standard point estimation in the LSTM network for time series forecas
In Section 4, we introduce a wide variety of time series models for exchange rates and discuss their relative merits. In Section 5, we describe the data, estimation methods, and in-sample and out-of-sample performances of each model. Section 6 concludes. The Appendix provides the mathematical...
Title bootstrap — Bootstrap sampling and estimation stata.com Description Options References Quick start Remarks and examples Also see Menu Stored results Syntax Methods and formulas Description bootstrap performs nonparametric bootstrap estimation of specified statistics (or expressions) for a Stata ...
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Despite early domestication around 3000 BC, the evolutionary history of the ancient allotetraploid species Brassica juncea (L.) Czern & Coss remains uncertain. Here, we report a chromosome-scale de novo assembly of a yellow-seeded B. juncea genome by
The segmentation of retinal vasculature from eye fundus images is a fundamental task in retinal image analysis. Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures have been pushing perform
Standard errors of parameter estimates are widely used in empirical work. The bootstrap often can provide a convenient means of estimating standard errors. The conditions under which bootstrap standard error estimates are theoretically justified have not received much attention, however. This article est...
BlazorBootstrap - High-performance, lightweight, and responsive blazor bootstrap components in a single package from the developers for the developers. (Docs as Demo). FAST Blazor - A lightweight wrapper around Microsoft's official FluentUI Web Components for use with .NET 6.0 Razor views & Bl...
We develop an auto-reservoir computing framework, Auto-Reservoir Neural Network (ARNN), to efficiently and accurately make multi-step-ahead predictions based on a short-term high-dimensional time series. Different from traditional reservoir computing whose reservoir is an external dynamical system irrele...
The utilisation of smart devices, such as smartwatches and smartphones, in the field of movement disorders research has gained significant attention. However, the absence of a comprehensive dataset with movement data and clinical annotations, encompassin