Eksaktisti approksimoidut Monte Carlo -m
Main funder
Funder's project number: 284513
Funds granted by main funder (€)
- 209 532,00
Funding program
Project timetable
Project start date: 01/09/2014
Project end date: 31/08/2017
Principal Investigator
Primary responsible unit
Related publications and other outputs
1 of 2
- Efficient Bayesian generalized linear models with time-varying coefficients : The walker package in R (2022) Helske, Jouni; A1; OA
- bssm: Bayesian Inference of Non-linear and Non-Gaussian State Space Models in R (2021) Helske, Jouni; et al.; A1; OA
- A Bayesian Reconstruction of a Historical Population in Finland, 1647–1850 (2020) Voutilainen, Miikka; et al.; A1; OA
- Coupled conditional backward sampling particle filter (2020) Lee, Anthony; et al.; A1; OA
- Human experts vs. machines in taxa recognition (2020) Ärje, Johanna; et al.; A1; OA
- Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance (2020) Franks, Jordan; et al.; A1; OA
- Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo (2020) Vihola, Matti; et al.; A1; OA
- On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction (2020) Vihola, Matti; et al.; A1; OA
- Mixture Hidden Markov Models for Sequence Data : The seqHMM Package in R (2019) Helske, Satu; et al.; A1; OA
- Graphical model inference : Sequential Monte Carlo meets deterministic approximations (2018) Lindsten, Fredrik; et al.; A4; OA
