Results 1 to 10 of about 1,986,022 (191)

Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks [PDF]

BMC Oral Health, 2020
Background Despite the integral role of cephalometric analysis in orthodontics, there have been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing.
Jeong-Hoon Lee, Hee-Jin Yu, Min-ji Kim, Jin-Woo Kim, Jongeun Choi   +4 more
doaj   +2 more sources

Assessing NARCCAP climate model effects using spatial confidence regions [PDF]

Advances in Statistical Climatology, Meteorology and Oceanography, 2017
We assess similarities and differences between model effects for the North American Regional Climate Change Assessment Program (NARCCAP) climate models using varying classes of linear regression models.
J. P. French, S. McGinnis, A. Schwartzman   +2 more
doaj   +2 more sources

Identification of low-confidence regions in the pig reference genome (Sscrofa10.2) [PDF]

Frontiers in Genetics, 2015
Many applications of high throughput sequencing rely on the availability of an accurate reference genome. Variant calling often produces large data sets that cannot be realistically validated and which may contain large numbers of false-positives. Errors
Amanda eWarr, Christelle eRobert, David eHume, Alan L Archibald, Nader eDeeb, Mick eWatson   +5 more
doaj   +2 more sources

Variations on KamLAND: likelihood analysis and frequentist confidence regions [PDF]

, 2003
In this letter the robustness of the first results from the KamLAND reactor neutrino experiment with respect to variations in the statistical analysis is considered.
Abdurashitov, Ahmad, Ahmad, Aliani, Bahcall, Balantekin, Bandyopadhyay, Barger, Bellotti, Bertlmann, Bertlmann, Cleveland, Cramér, Creminelli, de Holanda, Eguchi, Ellis, Feldman, Fiorentini, Fogli, Fogli, Frodesen, Fukuda, Hagiwara, Hampel, Ianni, Lisi, Maltoni, Nunokawa, Pakvasa, Thomas Schwetz, Vogel, Vogel   +32 more
core   +3 more sources

Asymptotic Confidence Regions Based on the Adaptive Lasso with Partial Consistent Tuning [PDF]

, 2018
We construct confidence sets based on an adaptive Lasso estimator with componentwise tuning in the framework of a low-dimensional linear regression model.
Amann, Nicolai, Schneider, Ulrike
core   +5 more sources

An Efficient Construction of Confidence Regions via Swarm Intelligence and Its Application in Target Localization

IEEE Access, 2018
It is essential to enhance the speed and accuracy of the localization process to gain the robustness and instantaneous properties and to adapt from the practical environment of a confidence band.
Frank Po-Chen Lin, Frederick Kin Hing Phoa   +1 more
doaj   +2 more sources

UNIFORMLY VALID POST-REGULARIZATION CONFIDENCE REGIONS FOR MANY FUNCTIONAL PARAMETERS IN Z-ESTIMATION FRAMEWORK. [PDF]

Ann Stat, 2018
Belloni A, Chernozhukov V, Chetverikov D, Wei Y.   +3 more
europepmc   +5 more sources

Assessing Algorithms Used for Constructing Confidence Ellipses in Multidimensional Scaling Solutions

Algorithms, 2023
This paper assesses algorithms proposed for constructing confidence ellipses in multidimensional scaling (MDS) solutions and proposes a new approach to interpreting these confidence ellipses via hierarchical cluster analysis (HCA).
Panos Nikitas, Efthymia Nikita
doaj   +1 more source

Asymptotic Analysis for One-Stage Stochastic Linear Complementarity Problems and Applications

Mathematics, 2023
One-stage stochastic linear complementarity problem (SLCP) is a special case of a multi-stage stochastic linear complementarity problem, which has important applications in economic engineering and operations management.
Shuang Lin, Jie Zhang, Chen Qiu
doaj   +1 more source

Confidence polytopes for quantum process tomography

New Journal of Physics, 2021
In the present work, we propose a generalization of the confidence polytopes approach for quantum state tomography (QST) to the case of quantum process tomography (QPT).
E O Kiktenko, D O Norkin, A K Fedorov
doaj   +1 more source