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...
में बचाया:
| मुख्य लेखक: | |
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| अन्य लेखक: | |
| स्वरूप: | Dissertation |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Philipps-Universität Marburg
2014
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| विषय: | |
| ऑनलाइन पहुंच: | पीडीएफ पूर्ण पाठ |
| टैग: |
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| सारांश: | 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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| डिजिटल ऑब्जेक्ट पहचानकर्ता: | 10.17192/z2014.0117 |