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Lekha Patel

4 papers hereh-index 597 citations19 works total

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • math.ST1
  • stat.ME1
same name
  • Lekha Patel — 6 papers, h 1
  • Lekha Patel — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedA Monte Carlo EM Algorithm for the Parameter Estimation of Aggregated Hawkes Processes

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

math.ST2023★ 1 cited

Memory Efficient And Minimax Distribution Estimation Under Wasserstein Distance Using Bayesian Histograms

Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya +1

We study Bayesian histograms for distribution estimation on [0,1]d under the Wasserstein Wv​,1≤v<∞ distance in the i.i.d sampling regime. We newly show that when…

stat.AP2021

Simulating cloud-aerosol interactions made by ship emissions

Lekha Patel, Lyndsay Shand

Satellite imagery can detect temporary cloud trails or ship tracks formed from aerosols emitted from large ships traversing our oceans, a phenomenon that global climate models cann…

stat.AP2021

Spatio-temporal extreme event modeling of terror insurgencies

Lekha Patel, Lyndsay Shand, J. Derek Tucker +1

Extreme events with potential deadly outcomes, such as those organized by terror groups, are highly unpredictable in nature and an imminent threat to society. In particular, quanti…

stat.ME2020★ 4 cited

A Monte Carlo EM Algorithm for the Parameter Estimation of Aggregated Hawkes Processes

Leigh Shlomovich, Edward Cohen, Niall Adams +1

A key difficulty that arises from real event data is imprecision in the recording of event time-stamps. In many cases, retaining event times with a high precision is expensive due…

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