Computational Personalization
Hi all,
We are very happy to share that the health telescope research program is now recruiting participants! Please see www.health-telescope.com for more information.
We are also happy to welcome Loukas Konstantinou to our lab: he is visiting us for this semester to work on his PhD research.
Cheers,
Maurits
Hi,
We are happy to share that our paper on automated adaptive selling (see https://www.emerald.com/insight/content/doi/10.1108/EJM-08-2016-0485/full/html) was awarded an outstanding paper award for 2019.
Do check out and share: http://www.emeraldgrouppublishing.com/authors/literati/awards.htm?year=2019&journal=ejm
Cheers,
Maurits
Hi all,
We are happy to share our newly accepted JAISE paper that is coming up soon; find a pre-print here.
Maurits
I am happy to share our new paper on Bootstrap Thompson Sampling published at SAGE open: https://journals.sagepub.com/doi/abs/10.1177/2158244019851675
The paper describes how BTS can be used effectively in sequential experimentation in the social sciences and provides a follow up to our ArXiV preprint on this topic: https://arxiv.org/abs/1410.4009
Ooops… Just noticed I forgot to upload the actual article on “fast BART”. The article is called “Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models” by Reza Mohammadi, Matthew Pratola, and Maurits Kaptein. In the paper we describe a novel sampling approach for the popular Bayesian Additive Regression Tree model.
The paper can be found here: https://arxiv.org/pdf/1904.09339.pdf
Hi all,
I (Maurits) am currently attending Persuasive2019; its an interesting conference! We just finished our session on research methods for persuasive tech; please see the slides we used to stimulate the discussion here. Also, tomorrow I will be giving a talk at the Cyprus University of Technology. Slides are available here.
Next, we are (Reza Mohammadi, Matthew Pratola, and I) are wrapping up our work on Bayesian Additive Regression Trees; we will be submitting the paper shortly, but I can already share a link to the associated R package: https://bitbucket.org/mpratola/openbt.
Cheers,
Maurits
Hi all,
Quite a lot happened in the lab recently. We are excited to be piloting the Health Telescope project, and we will do a longer update on this soon. We also have a number of other exciting projects that are almost wrapping up, and we will share the papers as soon as they are ready. For now however a small update on where to find us at conferences shortly:
Hi all,
We are happy to share a new paper and [R] package for sample size computation for finite populations. The package can be found here: https://cran.r-project.org/web/packages/ssev/index.html.
The paper will appear soon in https://www.journals.elsevier.com/contemporary-clinical-trials-communications but a pre-print can be downloaded here.
Thanks!
We have just published a new paper on personalization in healthcare information systems. See: https://doi.org/10.1016/j.jbi.2018.12.002
And, a great 2019 to all of you!
Maurits
Hi all,
In the first weeks of 2019 we will be starting our pilots for the health-telescope project (see https://health-telescope.com); this is an exciting project in which we — over time — monitor the usage of eHealth interventions, measure there effect, and provide personalized recommendations. If you are interested in participating in the pilot, or in joining the project, please contact us!
We are looking forward to a great 2019, with numerous new insights on personalization, new publications (such at the book Statistics for Data Scientists), and new software (check out our GitHub here).
Thanks, and enjoy the Holidays!
Maurits