Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Statistical methods for adaptive river basin management and monitoring 

  Kotamäki, Niina (University of Jyväskylä, 2018)

  Decision-making at different phases of adaptive river basin management planning rely largely on the information that is gained through environmental monitoring. The aim of this thesis was to develop and test statistical ...

• Can visualization alleviate dichotomous thinking : Effects of visual representations on the cliff effect 

  Helske, Jouni; Helske, Satu; Cooper, Matthew; Ynnerman, Anders; Besancon, Lonni (IEEE, 2021)

  Common reporting styles for statistical results in scientific articles, such as \pvalues\ and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null ...

• Identifying territories using presence-only citizen science data : An application to the Finnish wolf population 

  Karppinen, Santeri; Rajala, Tuomas; Mäntyniemi, Samu; Kojola, Ilpo; Vihola, Matti (Elsevier BV, 2022)

  Citizens, community groups and local institutions participate in voluntary biological monitoring of population status and trends by providing species data e.g. for regulations and conservation. Sophisticated statistical ...

• Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo 

  Vihola, Matti; Helske, Jouni; Franks, Jordan (Wiley-Blackwell, 2020)

  We consider importance sampling (IS) type weighted estimators based on Markov chain Monte Carlo (MCMC) targeting an approximate marginal of the target distribution. In the context of Bayesian latent variable models, the ...

• On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction 

  Vihola, Matti; Franks, Jordan (Oxford University Press, 2020)

  Approximate Bayesian computation enables inference for complicated probabilistic models with intractable likelihoods using model simulations. The Markov chain Monte Carlo implementation of approximate Bayesian computation ...