Showing items with similar title or keywords.

• 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 ...

• 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 ...

• Computational modeling of protein diffusion in the cell nucleus using the lattice-Boltzmann method 

  Filippovych, Kateryna (2012)

  The number of fluorescence applications and methods of analysis is growing in the biological and related sciences. The aim of this work was to accurately determine the diffusion coefficient in nucleus, diffusion in the ...

• Current state and future perspectives of biochar applications in Finland 

  Salo, Esko (2018)

  Kiinnostus biohiiltä kohtaan lisääntyy jatkuvasti, sillä biohiili tarjoaa taloudellisia ja ympäristön kannalta kestäviä ratkaisuja. Biohiiltä on tutkittu Suomessa noin kymmenen vuotta, mutta vasta viime aikoina sen ...

• In-plane conductive heat tansfer in solid and porous planar structures 

  Miettinen, Lasse (University of Jyväskylä, 2011)

  Methods for determining the in-plane thermal diffusivity in a planar sample geometry were developed. These methods were tested and verified by measuring planar metal samples with known thermal properties. The techniques ...