Zobrazeno 1 - 10
of 12 564
pro vyhledávání: '"Wiel, A."'
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of a unique identifier often poses challenges. Record linkage procedures
Externí odkaz:
http://arxiv.org/abs/2407.06835
The instruction-following ability of Large Language Models (LLMs) has cultivated a class of LLM-based systems capable of approaching complex tasks such as making edits to large code repositories. Due to the high sensitivity and unpredictability of LL
Externí odkaz:
http://arxiv.org/abs/2406.16801
Regression discontinuity design (RDD) is a quasi-experimental approach used to estimate the causal effects of an intervention assigned based on a cutoff criterion. RDD exploits the idea that close to the cutoff units below and above are similar; henc
Externí odkaz:
http://arxiv.org/abs/2406.11585
The high dimensional nature of genomics data complicates feature selection, in particular in low sample size studies - not uncommon in clinical prediction settings. It is widely recognized that complementary data on the features, `co-data', may impro
Externí odkaz:
http://arxiv.org/abs/2405.04917
Autor:
Tertilt, Henri, Mensing, Jonas, Becker, Marlon, van der Wiel, Wilfred G., Bobbert, Peter A., Heuer, Andreas
Nonlinear behavior in the hopping transport of interacting charges enables reconfigurable logic in disordered dopant network devices, where voltages applied at control electrodes tune the relation between voltages applied at input electrodes and the
Externí odkaz:
http://arxiv.org/abs/2312.16037
Nanoparticles interconnected by insulating organic molecules exhibit nonlinear switching behavior at low temperatures. By assembling these switches into a network and manipulating charge transport dynamics through surrounding electrodes, the network
Externí odkaz:
http://arxiv.org/abs/2312.04717
Active subspace (AS) methods are a valuable tool for understanding the relationship between the inputs and outputs of a Physics simulation. In this paper, an elegant generalization of the traditional ASM is developed to assess the co-activity of two
Externí odkaz:
http://arxiv.org/abs/2311.18146
Medical prediction applications often need to deal with small sample sizes compared to the number of covariates. Such data pose problems for prediction and variable selection, especially when the covariate-response relationship is complicated. To add
Externí odkaz:
http://arxiv.org/abs/2311.09997
In clinical and biomedical research, multiple high-dimensional datasets are nowadays routinely collected from omics and imaging devices. Multivariate methods, such as Canonical Correlation Analysis (CCA), integrate two (or more) datasets to discover
Externí odkaz:
http://arxiv.org/abs/2310.02169
We address a classical problem in statistics: adding two-way interaction terms to a regression model. As the covariate dimension increases quadratically, we develop an estimator that adapts well to this increase, while providing accurate estimates an
Externí odkaz:
http://arxiv.org/abs/2309.13998