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All Blog Posts Tagged 'Missing' (2)

Machine Learning Techniques based paper one of the two Risk Quant Europe 2018 Call for Paper Winners

Each year, Risk Quant Europe Conference, a conference well-attended by practitioners from banking, asset management, insurers as well as academics from Europe, selects two papers to present in their annual conference.

For 2018, our paper is lucky to be one of the two winning papers selected by the Advisory Board for the conference to be held in London. Please feel free to check out our paper titled CDS Rate Construction Methods by Machine Learning…

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Added by Zhongmin Luo on February 24, 2018 at 2:00am — No Comments

Trend Analysis of Fragmented Time Series: Hypothesis Testing Based Adaptive Spline Filtering Method

Missing data present significant challenges to trend analysis of time series. Straightforward approaches consisting of supplementing missing data with constant or zero values or with linear trends can severely degrade the quality of the trend analysis, which significantly reduces the reliability of the trend analysis. …

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Added by Ted on October 31, 2017 at 7:30pm — No Comments

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