Results 11 to 20 of about 751,928 (265)
Confidence Regions for Parameters in Stationary Time Series Models With Gaussian Noise
Frontiers in Physics, 2022 This article develops two new empirical likelihood methods for long-memory time series models based on adjusted empirical likelihood and mean empirical likelihood.
Xiuzhen Zhang +3 more
doaj +1 more source
Mathematics, 2022 For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b.
Rebeca Peláez +2 more
doaj +1 more source
Remote Sensing, 2023 Multiview stereo (MVS) achieves efficient 3D reconstruction on Lambertian surfaces and strongly textured regions. However, the reconstruction of weakly textured regions, especially planar surfaces in weakly textured regions, still faces significant ...
Chuanyu Fu +6 more
doaj +1 more source
The Comparison of the Confidence Regions in Phylogeny [PDF]
Molecular Biology and Evolution, 2005 In this paper, several different procedures for constructing confidence regions for the true evolutionary tree are evaluated both in terms of coverage and size without considering model misspecification. The regions are constructed on the basis of tests of hypothesis using six existing tests: Shimodaira Hasegawa (SH), SOWH, star form of SOWH (SSOWH ...
Xiaofei, Shi +3 more
openaire +2 more sources
Neutrosophic Probabilistic and Statistical Extensions of the NeutroMultiSpace Model for Blended Teaching Process in University Physical Education: A Novel Neutrosophic Modeling Framework [PDF]
Neutrosophic Sets and SystemsThis paper introduces a novel neutrosophic modeling framework to better understand and assess blended teaching in university physical education. The model is based on the NeutroMultiSpace structure, which combines in-person participation, digital ...
Guoquan Lin, Hongtao Guo, Ying Zheng
doaj +1 more source
Confidence regions for level sets
Journal of Multivariate Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mammen, Enno, Polonik, Wolfgang
openaire +3 more sources
Confidence Regions for Evolutionary Trajectories [PDF]
Biometrics, 1996 Summary: We derive confidence regions for the evolutionary trajectories derived from a model of \textit{S. Via} and \textit{R. Lande} [Evolution 39, 505-522 (1985)]. We utilize a nested, parametric bootstrap to calculate the confidence regions and show that a likelihood-based approach provides an unsatisfactory solution.
McCulloch, Charles E. +2 more
openaire +1 more source
A characterization of the neural representation of confidence during probabilistic learning
NeuroImage, 2023 Learning in a stochastic and changing environment is a difficult task. Models of learning typically postulate that observations that deviate from the learned predictions are surprising and used to update those predictions. Bayesian accounts further posit
Tiffany Bounmy +2 more
doaj +1 more source
IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this aim a soft Bayesian classifier was used, which enables
C. C. Fonte, L. M. S. Gonçalves
doaj +1 more source
Sensors, 2022 This paper presents deterioration level estimation based on convolutional neural networks using a confidence-aware attention mechanism for infrastructure inspection.
Naoki Ogawa +3 more
doaj +1 more source