Authors: Sourabh Balgi, Jose M. Peña, Adel Daoud
arXiv
This work demonstrates the application of a particular branch of causal inference and deep learning models: \emph{causal-Graphical Normalizing Flows (c-GNFs)}. In a recent contribution, scholars showe...
Authors: Henk van Elst
arXiv
This tutorial reviews the main steps of the principal component analysis of a multivariate data set and its subsequent dimensional reduction on the grounds of identified dominant principal components....
Authors: Maria Cipollina, Luca De Benedictis, Elisa ScibĂš
arXiv
The literature on the relationship between environmental factors such as climatic changes and natural hazards and human mobility (both internal and international) is characterized by heterogeneous res...
Authors: Jake S. Rhodes, Adele Cutler, Kevin R. Moon
arXiv
Random forests are considered one of the best out-of-the-box classification and regression algorithms due to their high level of predictive performance with relatively little tuning. Pairwise proximit...
Authors: CĂ©cile Proust-Lima, Tiphaine Saulnier, Viviane Philipps, Anne Pavy-Le Traon, Patrice PĂ©ran, Olivier Rascol, Wassilios G Meissner, Alexandra Foubert-Samier
arXiv
Neurodegenerative diseases are characterized by numerous markers of progression and clinical endpoints. For instance, Multiple System Atrophy (MSA), a rare neurodegenerative synucleinopathy, is charac...
Authors: Göran Köber, Raffael Kalisch, Lara Puhlmann, Andrea Chmitorz, Anita Schick, Harald Binder
arXiv
When modeling longitudinal biomedical data, often dimensionality reduction as well as dynamic modeling in the resulting latent representation is needed. This can be achieved by artificial neural netwo...
Authors: Grace W. Lindsay
arXiv
Neuroscientists apply a range of common analysis tools to recorded neural activity in order to glean insights into how neural circuits implement computations. Despite the fact that these tools shape t...
Authors: Nicholas J. Horton, Jie Chao, William Finzer, Phebe Palmer
arXiv
The world is full of text data, yet text analytics has not traditionally played a large part in statistics education. We consider four different ways to provide students with opportunities to explore...
Authors: Pablo Villegas, Andrea Gabrielli, Francesca Santucci, Guido Caldarelli, Tommaso Gili
arXiv
Complex networks usually exhibit a rich architecture organized over multiple intertwined scales. Information pathways are expected to pervade these scales reflecting structural insights that are not m...
Authors: Bokgyeong Kang, John Hughes, Murali Haran
arXiv
Models with intractable normalizing functions have numerous applications. Because the normalizing constants are functions of the parameters of interest, standard Markov chain Monte Carlo cannot be use...
Authors: Jacob McErlean, John Malik, Yu-Ting Lin, Ronen Talmon, Hau-Tieng Wu
arXiv
Objective: We aimed to fuse the outputs of different electrocardiogram-derived respiration (EDR) algorithms to create one EDR signal that is of higher quality. Methods: We viewed each EDR algorithm as...
Authors: Ryan M. Andrews, Ronja Foraita, Vanessa Didelez, Janine Witte
arXiv
In this guide, we present how to perform constraint-based causal discovery using three popular software packages: pcalg (with add-ons tpc and micd), bnlearn, and TETRAD. We focus on how these packages...
Authors: Oluwasegun Ojo, Augusto GarcĂa-Agundez, Benjamin Girault, Harold HernĂĄndez, Elisa Cabana, Amanda GarcĂa-GarcĂa, Payman Arabshahi, Carlos Baquero, Paolo Casari, Ednaldo JosĂ© Ferreira, Davide Frey, Chryssis Georgiou, Mathieu Goessens, Anna Ishchenko, Ernesto JimĂ©nez, Oleksiy Kebkal, Rosa Lillo, Raquel Menezes, Nicolas Nicolaou, Antonio Ortega, Paul Patras, Julian C Roberts, Efstathios Stavrakis, Yuichi Tanaka, Antonio FernĂĄndez Anta
arXiv
The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limited resources and tes...
Authors: William Bialek
arXiv
There is growing effort in the "physics of behavior" that aims at complete quantitative characterization of animal movements under more complex, naturalistic conditions. One reaction to the resulting...
Authors: Kota Ogasawara
arXiv
I analyze factory worker households in the early 1920s in Osaka to examine idiosyncratic income shocks and consumption. Using the household-level monthly panel dataset, I find that while households co...