Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Statistical analysis of life sequence data 

  Helske, Satu (University of Jyväskylä, 2016)

• Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance 

  Franks, Jordan; Vihola, Matti (Elsevier, 2020)

  We establish an ordering criterion for the asymptotic variances of two consistent Markov chain Monte Carlo (MCMC) estimators: an importance sampling (IS) estimator, based on an approximate reversible chain and subsequent ...

• On resampling schemes for particle filters with weakly informative observations 

  Chopin, Nicolas; Singh, Sumeetpal S.; Soto, Tomás; Vihola, Matti (Institute of Mathematical Statistics, 2022)

  We consider particle filters with weakly informative observations (or ‘potentials’) relative to the latent state dynamics. The particular focus of this work is on particle filters to approximate time-discretisations of ...

• A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments 

  López-Sepulcre, Andres; Bruneaux, Matthieu; Collins, Sarah M.; El-Sabaawi, Rana; Flecker, Alexander S.; Thomas, Steven A. (University of Chicago Press, 2020)

  Understanding how nutrients flow through food webs is central in ecosystem ecology. Tracer addition experiments are powerful tools to reconstruct nutrient flows by adding an isotopically enriched element into an ecosystem ...

• Uncertainty quantification on a spatial Markov-chain model for the progression of skin cancer 

  Vermolen, Fred; Pölönen, Ilkka (Springer, 2020)

  A spatial Markov-chain model is formulated for the progression of skin cancer. The model is based on the division of the computational domain into nodal points, that can be in a binary state: either in ‘cancer state’ or ...