Search for dissertations about: "Statistical inference"
Showing result 16 - 20 of 147 swedish dissertations containing the words Statistical inference.
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16. Valid causal inference in high-dimensional and complex settings
Abstract : The objective of this thesis is to consider some challenges that arise when conducting causal inference based on observational data. High dimensionality can occur when it is necessary to adjust for many covariates, and flexible models must be used to meet convergence assumptions. The latter may require the use of a novel machine learning estimator. READ MORE
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17. Selection of smoothing parameters with application in causal inference
Abstract : This thesis is a contribution to the research area concerned with selection of smoothing parameters in the framework of nonparametric and semiparametric regression. Selection of smoothing parameters is one of the most important issues in this framework and the choice can heavily influence subsequent results. READ MORE
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18. Computerized achievement tests : sequential and fixed length tests
Abstract : The aim of this dissertation is to describe how a computerized achivement test can be constructed and used in practice. Throughout this dissertation the focus is on classifying the examinees into masters and non-masters depending on their ability. However, there has been no attempt to estimate their ability. READ MORE
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19. Partial and General Equilibrium Effects of Unemployment Insurance : Identification, Estimation and Inference
Abstract : Essay I: Wage setting models typically posit a tight relationship between the generosity of unemployment insurance (UI) and equilibrium wages. This paper estimates the effect of UI on workers’ wages. READ MORE
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20. Nonparametric Statistical Inference for Entropy-type Functionals
Abstract : In this thesis, we study statistical inference for entropy, divergence, and related functionals of one or two probability distributions. Asymptotic properties of particular nonparametric estimators of such functionals are investigated. We consider estimation from both independent and dependent observations. READ MORE