Search for dissertations about: "TRADE MODELS"
Showing result 21 - 25 of 294 swedish dissertations containing the words TRADE MODELS.
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21. National Energy System Modelling for Supporting Energy and Climate Policy Decision-making: The Case of Sweden
Abstract : Energy system models can contribute in evaluating impacts of energy and climate policies. The process of working with energy system models assists the understanding of the quantita-tive relationships between different parts of the energy system and between different time periods, under various assumptions. READ MORE
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22. Modelling trade-offs between forest bioenergy and biodiversity
Abstract : Globally, biodiversity is declining due to loss, fragmentation and degradation of habitat, which undermines ecosystem functioning and therefore threatens also the ability of ecosystems to supply ecosystem services. Moreover, there is a need for adapting to climate change as well as securing the supply of energy, which have led to a shift in energy consumption from fossil fuel to renewables, especially biomass, which in turn put increasing pressure on ecosystems and biodiversity. READ MORE
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23. Population dynamics and demography - inferences from stochastic models
Abstract : Time series analysis of population abundances is a common approach to making inferences about population dynamics, and especially for estimating density dependence. Traditionally the impact of potential errors in observations or measurements of the abundances on inference has been ignored. READ MORE
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24. Adaptive reuse and shared spaces as circular business models
Abstract : Circular economy (CE) is still a nascent research field in the built environment, however, has gained traction in the last decade. Despite it being generally accepted that sustainability consists of three dimensions, namely, social, environmental, and economic, CE has been criticised for focusing on environmental and economic impact whilst neglecting the social aspect. READ MORE
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25. Sequential Monte Carlo methods for conjugate state-space models
Abstract : Bayesian inference in state-space models requires the solution of high-dimensional integrals, which is intractable in general. A viable alternative is to use sample-based methods, like sequential Monte Carlo, but this introduces variance into the inferred quantities that can sometimes render the estimates useless. READ MORE