Using adaptively weighted large margin classifiers for robust sufficient dimension reduction
نویسندگان
چکیده
منابع مشابه
Adaptively Weighted Large Margin Classifiers.
Large margin classifiers have been shown to be very useful in many applications. The Support Vector Machine is a canonical example of large margin classifiers. Despite their flexibility and ability in handling high dimensional data, many large margin classifiers have serious drawbacks when the data are noisy, especially when there are outliers in the data. In this paper, we propose a new weight...
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Observational studies assessing causal or non-causal relationships between an explanatory measure and an outcome can be complicated by hosts of confounding measures. Large numbers of confounders can lead to several biases in conventional regression based estimation. Inference is more easily conducted if we reduce the number of confounders to a more manageable number. We discuss use of sufficien...
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ژورنال
عنوان ژورنال: Statistics
سال: 2019
ISSN: 0233-1888,1029-4910
DOI: 10.1080/02331888.2019.1636050