Nonparametric estimation in models for unobservable heterogeneity
Nonparametric models which allow for data with unobservable heterogeneity are studied. The first publication introduces new estimators and their asymptotic properties for conditional mixture models. The second publication considers estimation of a function from noisy observations of its Radon transf...
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Формат: | Dissertation |
Мова: | Англійська |
Опубліковано: |
Philipps-Universität Marburg
2014
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Онлайн доступ: | PDF-повний текст |
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Резюме: | Nonparametric models which allow for data with unobservable heterogeneity are studied. The first publication introduces new estimators and their asymptotic properties for conditional mixture models. The second publication considers estimation of a function from noisy observations of its Radon transform in a Gaussian white noise model. |
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DOI: | 10.17192/z2014.0117 |