This repository tackle the problem of approximating a multivariate function defined on a general domain in high-dimensions from sample points. We solve a regression problem via weighted-least-squares.

Topologically associating domains (TADs) are fundamental building blocks of three dimensional genome, and organized into complex hierarchies. Identifying hierarchical TADs on Hi-C data helps to ...

Abstract: In this article, the authors propose a new multivariable method of identifying the flexible structure with piezoelectric actuators based on maximum likelihood algorithm in frequency domain.

ABSTRACT: This paper presents a nonparametric method for computing the Value at Risk (VaR) based on efficient density estimators with Fejér-type kernel functions and empirical bandwidths obtained from ...

Abstract: Patients who have undergone hip fracture surgery have the primary goal of recovering their premorbid level of function across diverse functional domains, including walking ability, balance, ...

During the Oxford Conference of the Econometric Society in 1936, Ragnar Frisch proposed a problem of characterization of distributions based on the property of linear regression of one linear function ...

The code is implemented in Python using the PyTorch framework. DACAD is a PyTorch-based framework for unsupervised domain adaptation in multivariate time series anomaly detection that hsa been ...

Several interesting results exist in the literature on subnormal operator tuples having their spectral properties tied to the geometry of strictly pseudoconvex domains or to that of bounded symmetric ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

Background Observational studies suggest that total testosterone (TT) and sex hormone-binding globulin (SHBG) may have beneficial effects on lung function, but these findings might be spurious due to ...