Published in The R Journal, 2019
A review of R packages for automated data exploration
Recommended citation: Mateusz Staniak and Przemysław Biecek, "The Landscape of R Packages for Automated Exploratory Data Analysis", The R Journal (2019). https://journal.r-project.org/archive/2019/RJ-2019-033/index.html
Published in Arxiv preprint, 2019
Abstract: The paper deals with fluctuations of Kendall random walks, which are extremal Markov chains. We give the joint distribution of the first ascending ladder epoch and height over any level a >= 0 and distribution of maximum and minimum for these extremal Markovian sequences. We show that distribution of the first crossing time of level a > 0 is a mixture of geometric and negative binomial distributions. The Williamson transform is the main tool for considered problems connected with the Kendall convolution.
Recommended citation: B.H. Jasiulis-Gołdyn, M. Staniak, "Fluctuations of extremal Markov chains of the Kendall type", arxiv e-print, 2019. https://arxiv.org/abs/1902.00576
Published in The R Journal, 2018
Paper on local interpretability of machine learning model
Recommended citation: Mateusz Staniak and Przemysław Biecek, "Explanations of Model Predictions with live and breakDown Packages", The R Journal (2018) 10:2, pages 395-409. https://journal.r-project.org/archive/2018/RJ-2018-072/RJ-2018-072.pdf