Results 21 to 30 of about 774,398 (260)

SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R

Barekeng, 2022
Correspondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal
Karunia Eka Lestari, Marsah Rahmawati Utami, Mokhammad Ridwan Yudhanegara   +2 more
doaj   +1 more source

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, Xiuzhen Zhang, Riquan Zhang, Zhiping Lu   +3 more
doaj   +1 more source

Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation

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, Ricardo Cao, Juan M. Vilar   +2 more
doaj   +1 more source

Confidence-Guided Planar-Recovering Multiview Stereo for Weakly Textured Plane of High-Resolution Image Scenes

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, Nan Huang, Zijie Huang, Yongjian Liao, Xiaoming Xiong, Xuexi Zhang, Shuting Cai   +6 more
doaj   +1 more source

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 Systems
This 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

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, Evelyn Eger, Florent Meyniel   +2 more
doaj   +1 more source

Confidence Regions for the Multinomial Parameter With Small Sample Size [PDF]

, 2009
Consider the observation of n iid realizations of an experiment with d >= 2 possible outcomes, which corresponds to a single observation of a multinomial distribution M_d(n; p) where p is an unknown discrete distribution on \{1,...,d\}.
Concordet, Didier, Chafaï, Djalil, Chafai, Djalil, Chafaï, D   +3 more
core   +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

Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection

Sensors, 2022
This paper presents deterioration level estimation based on convolutional neural networks using a confidence-aware attention mechanism for infrastructure inspection.
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama   +3 more
doaj   +1 more source

Confidence regions in nonlinear regression models [PDF]

, 1992
summary:New curvature measures for nonlinear regression models are developed and methods of their computing are given. Using these measures, more accurate confidence regions for parameters than those based on linear or quadratic approximations are ...
Potocký, Rastislav, To, Van Ban
core   +1 more source