Results 21 to 30 of about 22,191,063 (377)

The extraordinary boundary transition in the 3d O(N) model via conformal bootstrap [PDF]

open access: yes, 2021
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

MULTIPERIPHERAL BOOTSTRAP MODEL. [PDF]

open access: yesPhysical Review, 1968
A crude bootstrap model is constructed, based on forward-direction unitarity and the multi-Regge hypothesis. The Pomeranchuk trajectory is generated by iteration of lower-meson trajectories, whose average residue is correlated with average trajectory height.
G. Chew, A. Pignotti
semanticscholar   +2 more sources

A bootstrap approach to evaluating the performance of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in selection of an asymmetric price relationship [PDF]

open access: yesJournal of Agricultural Sciences (Belgrade), 2012
This study addresses the problem of model selection in asymmetric price transmission models by combining the use of bootstrap methods with information theoretic selection criteria.
Acquah Henry de-Graft
doaj   +1 more source

Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression [PDF]

open access: yesInternational Conference on Multimodal Interaction, 2019
This paper presents our approach for the engagement intensity regression task of EmotiW 2019. The task is to predict the engagement intensity value of a student when he or she is watching an online MOOCs video in various conditions.
Kai Wang   +5 more
semanticscholar   +1 more source

Deep Learning-Based Bootstrap Detection Scheme for Digital Broadcasting System

open access: yesIEEE Access, 2021
In the advanced television systems committee (ATSC) 3.0 system, the concept of flexibility is significant for supporting backward compatibility within the same ATSC 3.0 system.
Tae-Hoon Kang   +4 more
doaj   +1 more source

Bootstrapping DSGE Models [PDF]

open access: yesSSRN Electronic Journal, 2016
This paper explores the potential of bootstrap methods in the empirical evalu- ation of dynamic stochastic general equilibrium (DSGE) models and, more generally, in linear rational expectations models featuring unobservable (latent) components. We consider two dimensions. First, we provide mild regularity conditions that suffice for the bootstrap Quasi-
Angelini, Giovanni   +2 more
openaire   +2 more sources

Bootstrapping periodically autoregressive models [PDF]

open access: yesESAIM: Probability and Statistics, 2017
The main objective of this paper is to establish the residual and the wild bootstrap procedures for periodically autoregressive models. We use the least squares estimators of model’s parameters and generate their bootstrap equivalents. We prove that the bootstrap procedures for causal periodic autoregressive time series with finite fourth moments are ...
Ciołek, Gabriela, Potorski, Paweł
openaire   +2 more sources

Smoothed estimator of the periodic hazard function [PDF]

open access: yesOpuscula Mathematica, 2009
A smoothed estimator of the periodic hazard function is considered and its asymptotic probability distribution and bootstrap simultaneous confidence intervals are derived.
Anna Dudek
doaj   +1 more source

Discrete Information Dynamics with Confidence via the Computational Mechanics Bootstrap: Confidence Sets and Significance Tests for Information-Dynamic Measures

open access: yesEntropy, 2020
Information dynamics and computational mechanics provide a suite of measures for assessing the information- and computation-theoretic properties of complex systems in the absence of mechanistic models.
David Darmon
doaj   +1 more source

Comparison of cross-validation and bootstrap aggregating for building a seasonal streamflow forecast model [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2016
Based on a hindcast experiment for the period 1982–2013 in 66 sub-catchments of the Swiss Rhine, the present study compares two approaches of building a regression model for seasonal streamflow forecasting.
S. Schick   +5 more
doaj   +1 more source

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