Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Prediction and interpolation of time series by state space models 

  Helske, Jouni (University of Jyväskylä, 2015)

  A large amount of data collected today is in the form of a time series. In order to make realistic inferences based on time series forecasts, in addition to point predictions, prediction intervals or other measures of ...

• Eksponenttisen perheen tila-avaruusmallien sovellus alkoholikuolleisuusaineistoon 

  Ahola, Elina (2009)

• Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models 

  Helske, Jouni; Nyblom, Jukka; Ekholm, Petri; Meissner, Kristian (Wiley-Blackwell, 2013)

  Reliable estimates of the nutrient fluxes carried by rivers from land-based sources to the sea are needed for efficient abatement of marine eutrophication. Although nutrient concentrations in rivers generally display large ...

• bssm: Bayesian Inference of Non-linear and Non-Gaussian State Space Models in R 

  Helske, Jouni; Vihola, Matti (R Foundation for Statistical Computing, 2021)

  We present an R package bssm for Bayesian non-linear/non-Gaussian state space modelling. Unlike the existing packages, bssm allows for easy-to-use approximate inference based on Gaussian approximations such as the Laplace ...

• Valkosolupitoisuuksien bayesilainen mallintaminen lasten leukemian ylläpitohoidossa 

  Karppinen, Santeri (2018)

  Lasten akuutin lymfoblastileukemian ylläpitovaiheen hoidossa tehtävät lääkeannostuspäätökset pohjataan nykyisin potilaan veren valkosolupitoisuuteen, joka on hoidon tehokkuudesta kertova tekijä. Potilaalle sopiva lääkeannostus ...