3 citations · 3 across the 2 of their papers we have counts for
6 papers
Hidden Markov modelling of spatio-temporal dynamics of measles in 1750-1850 Finland
Tiia-Maria Pasanen, Jouni Helske, Tarmo Ketola
Real world spatio-temporal datasets, and phenomena related to them, are often challenging to visualise or gain a general overview of. In order to summarise information encompassed…
dynamite: An R Package for Dynamic Multivariate Panel Models
Santtu Tikka, Jouni Helske
dynamite is an R package for Bayesian inference of intensive panel (time series) data comprising multiple measurements per multiple individuals measured in time. The package suppor…
10 quick tips for making your software outlive your job
Richard Littauer, Greg Wilson, Jan Ainali +19
Loss of key personnel has always been a risk for research software projects. Key members of the team may have to step away due to illness or burnout, to care for a family member, f…
Feedback-augmented Non-homogeneous Hidden Markov Models for Longitudinal Causal Inference
Jouni Helske
Hidden Markov models are widely used for modeling sequential data but typically have limited applicability in observational causal inference due to their strong conditional indepen…
Spatio-temporal modeling of co-dynamics of smallpox, measles and pertussis in pre-healthcare Finland
Tiia-Maria Pasanen, Jouni Helske, Harri Högmander +1
Infections are known to interact as previous infections may have an effect on risk of succumbing to a new infection. The co-dynamics can be mediated by immunosuppression or -modula…
Price Optimization Combining Conjoint Data and Purchase History: A Causal Modeling Approach
Lauri Valkonen, Santtu Tikka, Jouni Helske +1
Pricing decisions of companies require an understanding of the causal effect of a price change on the demand. When real-life pricing experiments are infeasible, data-driven decisio…