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 +4 more
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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 +2 more
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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 +5 more
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Calibrating and Visualizing Some Bootstrap Confidence Regions
AxiomsWhen the bootstrap sample size is moderate, bootstrap confidence regions tend to have undercoverage. Improving the coverage is known as calibrating the confidence region. Consider testing H0:θ=θ0 versus H1:θ≠θ0.
Welagedara Arachchilage Dhanushka M. Welagedara +1 more
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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
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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
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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
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Comparison of confidence regions for quantum state tomography
New Journal of Physics, 2023 The quantum state associated to an unknown experimental preparation procedure can be determined by performing quantum state tomography. If the statistical uncertainty in the data dominates over other experimental errors, then a tomographic reconstruction
Jessica O de Almeida +2 more
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Optimal Confidence Regions for Weibull Parameters and Quantiles under Progressive Censoring
Algorithms, 2023 Confidence regions for the Weibull parameters with minimum areas among all those based on the Conditionality Principle are constructed using an equivalent diffuse Bayesian approach.
Arturo J. Fernández
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Confidence Intervals and Regions for Proportions under Various Three-Endmember Linear Mixture Models
Remote Sensing, 2023 Many studies in recent years have been devoted to estimating the per-pixel proportions of three broad classes of materials (e.g., photosynthetic vegetation, non-photosynthetic vegetation and bare soil) using data from multispectral sensors.
Mark Berman
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