Results of beyond the Standard Model Higgs searches from the LEP experiments

Since no Standard Model Higgs boson was discovered at LEP the searches were extended to beyond the Standard Model Higgs scenarios. A selection of final results from searches carried out by the four LEP experiments ALEPH, DELPHI, L3 and OPAL are presented that include data taken at the highest centre-of-mass energies.Comment: 4 pages, 6 figures, presented at the XXXIII International Conference on High Energy Physics (ICHEP06), Moscow, Russia, 26 July-2 August 200

Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping

Functional magnetic resonance imaging (fMRI) has become the standard technology in human brain mapping. Analyses of the massive spatio-temporal fMRI data sets often focus on parametric or nonparametric modeling of the temporal component, while spatial smoothing is based on Gaussian kernels or random fields. A weakness of Gaussian spatial smoothing is underestimation of activation peaks or blurring of high-curvature transitions between activated and non-activated brain regions. In this paper, we introduce a class of inhomogeneous Markov random fields (MRF) with spatially adaptive interaction weights in a space-varying coefficient model for fMRI data. For given weights, the random field is conditionally Gaussian, but marginally it is non-Gaussian. Fully Bayesian inference, including estimation of weights and variance parameters, is carried out through efficient MCMC simulation. An application to fMRI data from a visual stimulation experiment demonstrates the performance of our approach in comparison to Gaussian and robustified non-Gaussian Markov random field models

Geoadditive Survival Models: A Supplement

This technical report supplements the paper Geoadditive Survival Models (Hennerfeind, Brezger and Fahrmeir, 2005, Revised for JASA). In particular, we describe the simulation study of this paper in greater detail, present additional results for the application, and provide a complete proof of Theorem 1, Corollary 1, as well as the lemmata and corollaries in the appendix