Odottelua pysäkillä
Karvanen, J., & Luoto, A. (2015). Odottelua pysäkillä. Matematiikkalehti Solmu, 2015(3), 11-15. http://matematiikkalehtisolmu.fi/2015/3/odottelua.pdf
Published in
Matematiikkalehti SolmuDate
2015Copyright
© Karvanen & Luoto 2015.
2015:24 | 2016:49 | 2017:15 | 2018:27 | 2019:21 | 2020:34 | 2021:40 | 2022:30 | 2023:46 | 2024:39 | 2025:2
Publisher
Helsingin yliopistoISSN Search the Publication Forum
1459-0395Keywords
Original source
http://matematiikkalehtisolmu.fi/2015/3/odottelua.pdfPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/25232516
Metadata
Show full item recordCollections
Related items
Showing items with similar title or keywords.
-
Probabilistic analysis of sorting algorithms : lecture notes
Hitczenko, Paweł (University of Jyväskylä, 2004) -
Interactive decision support and trade-off analysis for sustainable forest landscape planning under deep uncertainty
Shavazipour, Babooshka; Podkopaev, Dmitry; Miettinen, Kaisa (Canadian Science Publishing, 2022)Sustainable environmental management often involves long-term time horizons, multiple conflicting objectives, and by nature, is affected by different sources of uncertainty. Many sources of uncertainty, such as climate ... -
Theoretical and methodological aspects of MCMC computations with noisy likelihoods
Andrieu, Christophe; Lee, Anthony; Vihola, Matti (Chapman and Hall/CRC, 2018)Approximate Bayesian computation (ABC) [11, 42] is a popular method for Bayesian inference involving an intractable, or expensive to evaluate, likelihood function but where simulation from the model is easy. The method ... -
A Modern Approach to Transition Analysis and Process Mining with Markov Models in Education
Helske, Jouni; Helske, Satu; Saqr, Mohammed; López-Pernas, Sonsoles; Murphy, Keefe (Springer, 2024)This chapter presents an introduction to Markovian modelling for the analysis of sequence data. Contrary to the deterministic approach seen in the previous sequence analysis chapters, Markovian models are probabilistic ... -
Locally Weighted Scatterplot Smoother
Nordhausen, Klaus; Taskinen, Sara (Springer, 2021)