Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sutanoy Dasgupta"'
Publikováno v:
Technometrics, 2021, Vol.63(4), pp.536-547 [Peer Reviewed Journal]
Estimation of a probability density function (pdf) from its samples, while satisfying certain shape constraints, is an important problem that lacks coverage in the literature. This article introduces a novel geometric, deformable template constrained
Publikováno v:
Quarterly of Applied Mathematics. 77:399-422
Publikováno v:
2019 IEEE Milan PowerTech.
Quantification and detection of patterns in electricity consumption curves, across households, locations, and seasons, is crucial for planning and forecasting. Treating daily consumption load curves as functional data, this paper utilizes techniques
Publikováno v:
Statistica Sinica.
We introduce a novel two-step approach for estimating a probability density function (pdf) given its samples, with the second and important step coming from a geometric formulation. The procedure involves obtaining an initial estimate of the pdf and
Publikováno v:
SSP
The problem of nonparametrically estimating probability density functions (pdfs) from observed data requires posing and solving optimization problems on the space of pdfs. We take a geometric approach and explore this space for optimization using act