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Option valuation is typically done under the unrealistic assumption of perfect knowledge about model parameters. This thesis shows that risk-neutral valuation, while still adressing the parameter uncertainty, can be computed for a variety of models within the Fourier framework. This results in a computationally inexpensive method for valuating options. A study of S&P500 index option data shows
