Search for dissertations about: "Sune Karlsson"
Showing result 1 - 5 of 7 swedish dissertations containing the words Sune Karlsson.
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1. Sensitivity Analysis of Untestable Assumptions in Causal Inference
Abstract : This thesis contributes to the research field of causal inference, where the effect of a treatment on an outcome is of interest is concerned. Many such effects cannot be estimated through randomised experiments. For example, the effect of higher education on future income needs to be estimated using observational data. READ MORE
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2. Common features in vector nonlinear time series models
Abstract : This thesis consists of four manuscripts in the area of nonlinear time series econometrics on topics of testing, modeling and forecasting nonlinear common features. The aim of this thesis is to develop new econometric contributions for hypothesis testing and forecasting in thesearea.Both stationary and nonstationary time series are concerned. READ MORE
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3. Calibration Adjustment for Nonresponse in Sample Surveys
Abstract : In this thesis, we discuss calibration estimation in the presence of nonresponse with a focus on the linear calibration estimator and the propensity calibration estimator, along with the use of different levels of auxiliary information, that is, sample and population levels. This is a fourpapers- based thesis, two of which discuss estimation in two steps. READ MORE
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4. Variational Inference of Dynamic Factor Models
Abstract : When we make difficult and crucial decisions, forecasts are powerful and important tools. For that purpose, statistical models can be our most effective aid. Ideally, these models can incorporate large sets of multifaceted data. READ MORE
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5. Identifying Influential Observations in Nonlinear Regression : a focus on parameter estimates and the score test
Abstract : This thesis contributes to influence analysis in nonlinear regression and in particular the detection of influential observations. The focus is on a regression model with a known mean function, which is nonlinear in its parameters and where the function is chosen according to the knowledge about the process generating the data. READ MORE