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Showing 1 to 2 of 2 for “"Multivariate Time-Series Model"”.

  1. Quantitative Modeling of Credit Derivatives

    … shortcomings in the existing approaches for modeling credit derivatives. This dissertation studies various issues related to the modeling of credit derivatives: hedging of portfolio credit derivatives, calibration of dynamic credit models, and modeling of credit default swap portfolios. In …

    columbia-diss Repository record for Quantitative Modeling of Credit Derivatives (opens in a new tab)

  2. Multivariate Time-Series Deep Learning for Short-Term Forecasting of Lost Circulation in Drilling Operations

    … operations, often leading to non-productive time, operational delays, and increased risk. Accurate prediction of lost circulation is challenging due to the complex, time-dependent interactions among drilling parameters, formation conditions, and operational states. This thesis investigates …

    vt Repository record for Multivariate Time-Series Deep Learning for Short-Term Forecasting of Lost Circulation in Drilling Operations (opens in a new tab)