Results 121 to 130 of about 22,043,161 (356)
A Sieve Bootstrap Test for Cointegration in a Conditional Error Correction Model [PDF]
In this paper we propose a bootstrap version of the Wald test for cointegration in a single-equation conditional error correction model. The multivariate sieve bootstrap is used to deal with dependence in the series. We show that the introduced bootstrap
Palm, Franz C. +2 more
core +1 more source
Advanced Energy Materials, EarlyView.Pt/C catalysts differing only in the locality of the Pt nanoparticles, whether inside or outside of the pores of the same carbon support, are needed to study the effect of said locality. Depending on the carbon support used, nanoparticles inside the pores can show hindered accessibility and ORR performance.
Giovanni Ferro +8 more
wiley +1 more source
Food waste, date labels, and risk preferences: An experimental exploration
Applied Economic Perspectives and Policy, EarlyView.Abstract This study provides theoretical and experimental evidence that consumers adjust their premeditated food waste by date labels and their risk and loss preferences. The “Use by” date label leads to more premeditated food waste than “Best by” for deli meat and spaghetti sauce.
Norbert Lance Weston Wilson +1 more
wiley +1 more source
The Bootstrap Model of Prebiotic Networks of Proteins and Nucleic Acids. [PDF]
Life (Basel), 2022 Farquharson T, Agozzino L, Dill K.
europepmc +1 more source
Bootstrapping Networks with Latent Space Structure [PDF]
arXiv, 2019 A core problem in statistical network analysis is to develop network analogues of classical techniques. The problem of bootstrapping network data stands out as especially challenging, since typically one observes only a single network, rather than a sample. Here we propose two methods for obtaining bootstrap samples for networks drawn from latent space
arxiv
Bootstrap determination of the co-integration rank in VAR models [PDF]
This paper discusses a consistent bootstrap implementation of the likelihood ratio [LR] co-integration rank test and associated sequential rank determination procedure of Johansen (1996).
Anders Rahbek +2 more
core +1 more source
Bootstrap in time series models [PDF]
Proceedings of the 20th conference on Winter simulation - WSC '88, 1988 The bootstrap is a resampling method of estimating distributional properties of estimators. We discuss how this method can be applied to time series models and indicate directions of theoretical and applied research in this area.
openaire +2 more sources
Applied Economic Perspectives and Policy, EarlyView.Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev +3 more
wiley +1 more source
Jixie chuandong, 2022 Aiming at the same batch of spiral bevel gears with the same gear material， NC milling method and heat treatment specification， a bootstrap resampling is carried out on a small number of tooth surface deviation sample data based on the bootstrap method ...
Weihao Sun +5 more
doaj
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. [PDF]
Front Neuroinform, 2021 Al-Hadeethi H +4 more
europepmc +1 more source