Search for dissertations about: "causal models"
Showing result 1 - 5 of 154 swedish dissertations containing the words causal models.
-
1. Causal Combinatorics : Edges of the Characteristic Imset Polytopes
Abstract : Explaining data in a concise and efficient manner has become increasingly important in today's society. This thesis pertains to the problem of finding causal links within data, and how that can be done from a mathematical perspective. Using the framework of graphical models has several advantages, from interpretability to efficiency. READ MORE
-
2. Probabilistic Sequence Models with Speech and Language Applications
Abstract : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. READ MORE
-
3. Causal after all : a model of mental causation for dualists
Abstract : In this dissertation, I develop and defend a model of causation that allows for dualist mental causation in worlds where the physical domain is physically complete.In Part I, I present the dualist ontology that will be assumed throughout the thesis and identify two challenges for models of mental causation within such an ontology: the exclusion worry and the common cause worry. READ MORE
-
4. On the Application of Short-term Causal Models
Abstract : Causal (econometric) models are often employed as instruments for for-casting in short-term planning within organizations. The aim of this work is to contribute to an understanding of the short-term aspects of causal model building. READ MORE
-
5. Models for Additive and Sufficient Cause Interaction
Abstract : The aim of this thesis is to develop and explore models in, and related to, the sufficient cause framework, and additive interaction. Additive interaction is closely connected with public health interventions and can be used to make inferences about the sufficient causes in order to find the mechanisms behind an outcome, for instance a disease. READ MORE