A framework for a network-level performance measurement system in SME networks. - Elina Varamaki; Marko Kohtamaki; Marko Järvenpää; Tero Vuorinen; Erkki K. Laitinen; Kirsti Sorama; Tom Wingren; Jukka Vesalainen; Petri Helo; Tommi Tuominen; Timo Pihkala; Jarkko Tenhunen (Int. J. Netw. Virtual Organisations, 2008)

ERP in action - Challenges and benefits for management control in SME context. - Henri Teittinen; Jukka Pellinen; Marko Järvenpää (Int. J. Account. Inf. Syst., 2013)

Bayesian analysis of GUHA hypotheses. - Robert Piché; Marko Järvenpää; Esko Turunen; Milan Simunek (J. Intell. Inf. Syst., 2014)

ELFI: Engine for Likelihood Free Inference. - Jarno Lintusaari; Henri Vuollekoski; Antti Kangasrääsiö; Kusti Skytén; Marko Järvenpää; Michael U. Gutmann; Aki Vehtari; Jukka Corander; Samuel Kaski (CoRR, 2017)

A Bayesian model of acquisition and clearance of bacterial colonization. - Marko Järvenpää; Mohamad R. Abdul Sater; Georgia K. Lagoudas; Paul C. Blainey; Loren G. Miller; James A. McKinnell; Susan S. Huang; Yonatan H. Grad; Pekka Marttinen (CoRR, 2018)

ELFI: Engine for Likelihood-Free Inference. - Jarno Lintusaari; Henri Vuollekoski; Antti Kangasrääsiö; Kusti Skytén; Marko Järvenpää; Pekka Marttinen; Michael U. Gutmann; Aki Vehtari; Jukka Corander; Samuel Kaski (J. Mach. Learn. Res., 2018)

Parallel Gaussian process surrogate method to accelerate likelihood-free inference. - Marko Järvenpää; Michael U. Gutmann; Aki Vehtari; Pekka Marttinen (CoRR, 2019)

Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation. - Marko Järvenpää; Aki Vehtari; Pekka Marttinen (CoRR, 2019)

A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation. - Marko Järvenpää; Mohamad R. Abdul Sater; Georgia K. Lagoudas; Paul C. Blainey; Loren G. Miller; James A. McKinnell; Susan S. Huang; Yonatan H. Grad; Pekka Marttinen (PLoS Comput. Biol., 2019)

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation. - Marko Järvenpää; Aki Vehtari; Pekka Marttinen (UAI, 2020)

On predictive inference for intractable models via approximate Bayesian computation. - Marko Järvenpää; Jukka Corander (Stat. Comput., 2023)

Controllers' role in managerial sensemaking and information trust building in a business intelligence environment. - Marko Järvenpää; Zahirul Hoque; Toni Mättö; Antti Rautiainen (Int. J. Account. Inf. Syst., 2023)