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Controlling the Swedish state Studies on formal and informal bodies of control

The dissertation aims to develop an understanding of the outcomes and limitations of formal and informal control of the Swedish state, and of the positions and strategies of the social agents involved in this field. The dissertation contributes with new perspectives on controls directed at the state, comparing various control organs (the Parliamentary Ombudsman, the Chancellor of Justice, the UnitThe dissertation aims to develop an understanding of the outcomes and limitations of formal and informal control of the Swedish state, and of the positions and strategies of the social agents involved in this field. The dissertation contributes with new perspectives on controls directed at the state, comparing various control organs (the Parliamentary Ombudsman, the Chancellor of Justice, the Unit

The bidirectional association between body weight and mobility disability : A population-based cohort

BACKGROUND: Obesity is more common in people with mobility disability than in non-disabled individuals, but less is known about the longitudinal effects leading to this health state.OBJECTIVE: To explore the potential bidirectional association between mobility disability and obesity.METHODS: Participants were identified in the population-based Stockholm Public Health Cohort (2002-2010, n = 17 945)

DNA Computation of Integer Addition Table with Applications to Boolean Convolution

Four specific complexity measures for DNA-based computations are considered: the number of test tubes, the maximal number of molecules in a tube, the maximal length of a molecule, the number of elementary lab operations. These measures are estimated for three DNA procedures for computing the integer addition table. Then, using the addition table, two algorithms for the Boolean convolution are cons

Efficient computation of the quasi likelihood function for discretely observed diffusion processes

An efficient numerical method for nearly simultaneous computation of all conditional moments needed for quasi maximum likelihood estimation of parameters in discretely observed stochastic differential equations is presented. The method is not restricted to any particular dynamics of the stochastic differential equation and is virtually insensitive to the sampling interval. The key contribution is

Dynamic Portfolio Optimization Across Hidden Market Regimes

Regime-based asset allocation has been shown to add value over rebalancing to static weights and, in particular, reduce potential drawdowns by reacting to changes in market conditions. The predominant approach in previous studies has been to specify in advance a static decision rule for changing the allocation based on the state of financial markets or the economy. This talk proposes the use of mo

Parameter Estimation in Finance Using Radial Basis Function Methods

Given time series market observations for a price process, the parameters in an assumed underlying model can be determined through maximum likelihood estimation. Transition probability densities need to be estimated between each pair of data points. We show that Gaussian radial basis function approximation of the Fokker-Planck equations for the densities leads to a convenient mathematical represen

S100A9 in inflammation

S100A9 is a small (13 kD) cytosolic calcium-binding protein. The protein is mainly expressed in neutrophils and monocytes in human but can also be expressed in other cell types under inflammatory conditions. S100A9 is normally co-expressed with S100A8 and forms S100A8/S100A9 heterodimers. Previous publications had suggested that S100A9 could be expressed without S100A8 in certain conditions. Vario