Analytic and numerical bootstrap for one-matrix model and “unsolvable” two-matrix model [PDF]
Journal of High Energy Physics, 2022 We propose the relaxation bootstrap method for the numerical solution of multi-matrix models in the large N limit, developing and improving the recent proposal of H. Lin.
Vladimir Kazakov, Zechuan Zheng
doaj +2 more sources
Studentized bootstrap model-averaged tail area intervals. [PDF]
PLoS ONE, 2019 In many scientific studies, the underlying data-generating process is unknown and multiple statistical models are considered to describe it. For example, in a factorial experiment we might consider models involving just main effects, as well as those ...
Jiaxu Zeng +3 more
doaj +2 more sources
Bootstrap-based model selection in subset polynomial regression
IJAIN (International Journal of Advances in Intelligent Informatics), 2018 The subset polynomial regression model is wider than the polynomial regression model. This study proposes an estimate of the parameters of the subset polynomial regression model with unknown error and distribution.
Suparman Suparman +1 more
doaj +3 more sources
Calibration after bootstrap for accurate uncertainty quantification in regression models [PDF]
npj Computational Materials, 2022 Obtaining accurate estimates of machine learning model uncertainties on newly predicted data is essential for understanding the accuracy of the model and whether its predictions can be trusted.
Glenn Palmer +9 more
openalex +2 more sources
Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects [PDF]
Frontiers in Psychology, 2020 In mediation analysis, conditions necessary for commonly recommended tests, including the confidence interval (CI)-based tests, to produce an accurate Type I error, do not generally hold for finite sample sizes and non-normally distributed model ...
Davood Tofighi
doaj +2 more sources
Form-factors of the sausage model obtained with bootstrap fusion from sine-Gordon theory [PDF]
, 1996 We continue the investigation of massive integrable models by means of the bootstrap fusion procedure, started in our previous work on O(3) nonlinear sigma model.
A. B. Zamolodchikov +21 more
core +4 more sources
A BOOTSTRAP APPROACH TO TESTING FOR SYMMETRY IN THE GRANGER AND LEE ASYMMETRIC ERROR CORRECTION MODEL [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2012 The power of the Granger and Lee (1989) model of asymmetry is examined via bootstrap simulation. The results of the bootstrap simulation indicate that the Granger and Lee model has low power in rejecting the null hypothesis of symmetric adjustments.
Henry De-Graft Acquah
doaj +1 more source
Prediction of Hourly Global Solar Radiation: Comparison of Neural Networks / Bootstrap Aggregating [PDF]
Kemija u Industriji, 2023 This research work explores the use of single neural networks and bootstrap aggregated neural networks for predicting hourly global solar radiation. A database of 3606 data points were from the Renewable Energies Development Center, radiometric station ...
Abdennasser Dahmani +4 more
doaj +1 more source
Bootstrap Latent Representations for Multi-modal Recommendation [PDF]
The Web Conference, 2022 This paper studies the multi-modal recommendation problem, where the item multi-modality information (e.g., images and textual descriptions) is exploited to improve the recommendation accuracy.
Xin Zhou +7 more
semanticscholar +1 more source
Bootstrap aggregation for model selection in the model-free formalism [PDF]
Magnetic Resonance, 2021 The ability to make robust inferences about the dynamics of biological macromolecules using NMR spectroscopy depends heavily on the application of appropriate theoretical models for nuclear spin relaxation.
T. Crawley, A. G. Palmer III
doaj +1 more source