Martin Sköld Mathematical Statistics Centre for Mathematical Sciences Lund University
Now at Örebro University, this page is no longer maintained.
Research interests:
Markov chain Monte Carlo.  Statistical inference for stochastic processes.  Curve estimation. Statistics in Ecology.
Selected work:
J. Knape, N. Jonzén, M. Sköld and L. Sokolov (2007). Stochasticity and seasonality in bird population dynamics. (Submitted). M. Sköld (2006). Improving density estimators of discretely observed processes by interpolation. (Submitted). [abstract] J. Knape, M. Sköld, N. Jonzén, M. Åkesson, S. Bensch, B. Hansson and D. Hasselquist (2006). Disentangling sources of variation in hatching success using Bayesian GLMMs. (Submitted) [abstract] S. Stjernqvist, T. Rydén, M. Sköld and J. Staaf (2006). Continuous-index hidden Markov modelling of array CGH copy number data. (To appear in Bioinformatics) [abstract] M. Sköld, T. Rydén, V. Samuelsson, C. Bratt, L. Ekblad, H. Olsson and B. Baldetorp (2006). Regression analysis and modelling of data acquisition for SELDI-TOF mass spectrometry. (To appear in Bioinformatics) [abstract] O. Papaspiliopoulos, G.O. Roberts and M. Sköld (2005). A general framework for parametrisation of hierarchical models. Preprint 2005:10, Centre for Mathematical Sciences, Lund University. (To appear in Statistical Science) [abstract] P. Pal, J. Erlandsson and M. Sköld (2006). Size-assortative mating and non-reciprocal copulation in a hermaphroditic intertidal limphet: test of the mate availability hypothesis. Marine Biology 148, 1273-1282. O.F. Christensen, G.O. Roberts and M. Sköld (2006). Robust MCMC methods for spatial GLMM.s. Journal of Computational and Graphical Statistics. 15, 1-17.[abstract] O. Papaspiliopoulos, G.O. Roberts and M. Sköld (2003). Non-centered parameterisations for hierarchical models and data augmentation (with discussion). In: Bayesian Statistics 7 (eds. Bernardo et al.), 307-326, Oxford University Press. [abstract] M. Sköld and G.O. Roberts (2003). Density estimation for the Metropolis-Hastings algorithm. Scandinavian Journal of Statistics 30, 699-718. [abstract] M. Sköld (2001). A bias-correction for cross-validation bandwidth selection when a kernel estimate is based on dependent data. Journal of Time Series Analysis 22, 493-503. [abstract] M. Sköld (2001). The asymptotic variance of the continuous-time kernel density estimator with applications to bandwidth selection. Statistical Inference for Stochastic Processes 4, 99-117. [abstract] M. Sköld (1999). Density estimation from noisy observations of a stochastic process. Preprint 1999:18, Centre for Mathematical Sciences, Lund University. [abstract] M. Sköld and O. Hössjer (1999). On the asymptotic variance of the continuous-time kernel density estimator. Statistics and Probability Letters 44, 97-106. [abstract] M. Sköld (1999). Kernel regression in the presence of size-bias. Journal of Nonparametric Statistics 12, 41-51. [abstract] M. Sköld (1999). Continuous-time models in kernel smoothing. Doctoral Theses in Mathematical Sciences 1999:5, Centre for Mathematical Sciences, Lund University. [abstract] M. Sköld (1996). Kernel intensity estimation for marks and crossings of differentiable stochastic processes. Theory of Stochastic Processes, 2(18), 273-284. [abstract]
		Martin Sköld Centre for Mathematical Sciences Lund University Box 118, 221 00 LUND	Room: MH:317 Phone: +46 46 22 285 52 Fax: +46 46 22 246 23  e-mail: martins@maths.lth.se