Showing items with similar title or keywords.

• Modeling of intracellular transport in realistic cell geometries 

  Aho, Vesa (University of Jyväskylä, 2018)

  The transport of molecules inside cells is a complex process, the characterization of which is important to gain full understanding of cellular processes. Understanding of intracellular transport is also important for ...

• Efficient numerical methods for simulating continuous casting processes 

  Räisänen, Tuomo (University of Jyväskylä, 2014)

• Oscillations of dynamical systems applied in drilling : analytical and numerical methods 

  Kiseleva, Maria (University of Jyväskylä, 2013)

• Unbiased Inference for Discretely Observed Hidden Markov Model Diffusions 

  Chada, Neil K.; Franks, Jordan; Jasra, Ajay; Law, Kody J.; Vihola, Matti (Society for Industrial & Applied Mathematics (SIAM), 2021)

  We develop a Bayesian inference method for diffusions observed discretely and with noise, which is free of discretization bias. Unlike existing unbiased inference methods, our method does not rely on exact simulation ...

• 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 ...