Analytic and numerical bootstrap for one-matrix model and “unsolvable” two-matrix model [PDF]
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]
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 Model-Based Constrained Optimization Tests of Indirect Effects [PDF]
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
A BOOTSTRAP APPROACH TO TESTING FOR SYMMETRY IN THE GRANGER AND LEE ASYMMETRIC ERROR CORRECTION MODEL [PDF]
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
Form factors of the sausage model obtained with bootstrap fusion from sine-Gordon theory [PDF]
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.
Z. Horvȧth, G. Takács
openalex +5 more sources
Bootstrap methods for inference in the Parks model [PDF]
This paper shows how to bootstrap hypothesis tests in the context of the Parks’s (1967) Feasible Generalized Least Squares estimator. It then demonstrates that the bootstrap outperforms FGLS(Parks)’s top competitor.
Moundigbaye Mantobaye +3 more
doaj +2 more sources
Re-sampling in Linear Regression Model Using Jackknife and Bootstrap [PDF]
Statistical inference is based generally on some estimates that are functions of the data. Resampling methods offer strategies to estimate or approximate the sampling distribution of a statistic.
Zakariya Y. Algamal, Khairy B. Rasheed
doaj +2 more sources
A bootstrap model comparison test for identifying genes with context-specific patterns of genetic regulation. [PDF]
Malakhov MM, Dai B, Shen XT, Pan W.
europepmc +3 more sources
Prediction of Hourly Global Solar Radiation: Comparison of Neural Networks / Bootstrap Aggregating [PDF]
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
The extraordinary boundary transition in the 3d O(N) model via conformal bootstrap [PDF]
This paper studies the critical behavior of the 3d classical $\mathrm{O}(N)$ model with a boundary. Recently, one of us established that upon treating $N$ as a continuous variable, there exists a critical value $N_c>2$ such that for $2 \leq N3$, under a ...
J. Padayasi +4 more
semanticscholar +1 more source

