Search for dissertations about: "incomplete family"
Showing result 1 - 5 of 43 swedish dissertations containing the words incomplete family.
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1. Optimal stopping, incomplete information, and stochastic games
Abstract : This thesis contains six papers on the topics of optimal stopping and stochastic games. Paper I extends the classical Bayesian sequential testing and detection problems for a Brownian motion to higher dimensions. We demonstrate unilateral concavity of the cost function and present its structural properties through various examples. READ MORE
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2. Beyond the bright side : Investigating dark aspects of independent entrepreneurship, family entrepreneurship, and corporate entrepreneurship
Abstract : Entrepreneurship is often perceived as a driving force for employment, innovation, and knowledge creation and is linked to poverty alleviation and economic growth. While entrepreneurship is often seen as a pathway for economic development and societal welfare, it does not consistently deliver the expected outcomes and, in certain instances, may exacerbate poverty, impede development, and present challenges to societal well-being and equality. READ MORE
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3. Phylogeny and topological incongruence in the Rubioideae (Rubiaceae)
Abstract : The work with this thesis has focused on evolutionary relationships in the Rubioideae, the most species-rich subfamily of the large and diverse coffee family (Rubiaceae). Despite considerable efforts during the last decades, uncertainty regarding several relationships in this group has remained, either as a result of unconvincing statistic support, incongruent results, or insufficient taxon sampling. READ MORE
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4. Some matters of great balance
Abstract : This thesis is based on four papers dealing with two different areas of mathematics.Paper I–III are in combinatorics, while Paper IV is in mathematical physics.In combinatorics, we work with design theory, one of whose applications aredesigning statistical experiments. READ MORE
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5. Statistical inference with deep latent variable models
Abstract : Finding a suitable way to represent information in a dataset is one of the fundamental problems in Artificial Intelligence. With limited labeled information, unsupervised learning algorithms help to discover useful representations. READ MORE