Results 41 to 50 of about 5,238,545 (299)
Robust Statistical Face Frontalization [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 Recently, it has been shown that excellent results can be achieved in both facial landmark localization and pose-invariant face recognition. These breakthroughs are attributed to the efforts of the community to manually annotate facial images in many different poses and to collect 3D facial data.
Sagonas, Christos +3 more
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The Use of Modern Robust Regression Analysis with Graphics: An Example from Marketing
StatsRoutine least squares regression analyses may sometimes miss important aspects of data. To exemplify this point we analyse a set of 1171 observations from a questionnaire intended to illuminate the relationship between customer loyalty and perceptions of
Marco Riani +3 more
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Improving standards in brain-behaviour correlation analyses
Frontiers in Human Neuroscience, 2012 Associations between two variables, for instance between brain and behavioural measurements, are often studied using Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones.
Guillaume A Rousselet, Cyril R Pernet
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A New Estimator: Median of the Distribution of the Mean in Robustness
Mathematics, 2023 In some statistical methods, the statistical information is provided in terms of the values used by classical estimators, such as the sample mean and sample variance.
Alfonso García-Pérez
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How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated
Frontiers in Psychology, 2018 The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality.
Jolynn Pek +3 more
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Ambiguity and robust statistics [PDF]
Journal of Economic Theory, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cerreia-Vioglio, Simone +3 more
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On the Robustness of the Bayes and Wiener Estimators under Model Uncertainty
, 2017 This paper deals with the robust estimation problem of a signal given noisy observations. We assume that the actual statistics of the signal and observations belong to a ball about the nominal statistics. This ball is formed by placing a bound on the Tau-
Zorzi, Mattia
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The Role of Robust Statistics in Private Data Analysis
, 2020 Robust statistics can be described as a subfield of mathematical statistics that seeks to account for the fact that statistical models are, at best, only good approximations of reality.
Marco Avella-Medina
semanticscholar +1 more source
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium [PDF]
, 2009 Under complete linkage disequilibrium (LD), robust tests often have greater power than Pearson's chi-square test and trend tests for the analysis of case-control genetic association studies.
Geller, Nancy +4 more
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RoPEUS: A New Robust Algorithm for Static Positioning in Ultrasonic Systems
Sensors, 2009 A well known problem for precise positioning in real environments is the presence of outliers in the measurement sample. Its importance is even bigger in ultrasound based systems since this technology needs a direct line of sight between emitters and ...
Christophe Croux +2 more
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