Now showing items 1-3 of 3

    • Data Depth Inference for Difficult Data 

      Ramsay, Kelly (University of Waterloo, 2022-07-18)
      We explore various ways in which a robust, nonparametric statistical tool, the data depth function can be used to conduct inference on data which could be described as difficult. This can include data which are difficult ...
    • Robustness in Dimensionality Reduction 

      Liang, Jiaxi (University of Waterloo, 2016-04-14)
      Dimensionality reduction is widely used in many statistical applications, such as image analysis, microarray analysis, or text mining. This thesis focuses on three problems that relate to the robustness in dimension ...
    • Statistical Learning and Stochastic Process for Robust Predictive Control of Vehicle Suspension Systems 

      Mozaffari, Ahmad (University of Waterloo, 2017-09-12)
      Predictive controllers play an important role in today's industry because of their capability of verifying optimum control signals for nonlinear systems in a real-time fashion. Due to their mathematical properties, such ...

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