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researcher

D. Pigoli

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.SY1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedKriging Riemannian Data via Random Domain Decompositions

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

eess.SY2019

Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns

Davide Beretta, Samuele Grillo, Davide Pigoli +3

Understanding and predicting the electric consumption patterns in the short-, mid- and long-term, at the distribution and transmission level, is a fundamental asset for smart grids…

stat.ME2018★ 1 cited

Kriging Riemannian Data via Random Domain Decompositions

Alessandra Menafoglio, Davide Pigoli, Piercesare Secchi

Data taking value on a Riemannian manifold and observed over a complex spatial domain are becoming more frequent in applications, e.g. in environmental sciences and in geoscience.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.