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Gordon J. Ross

22 papers hereh-index 161.9k citations43 works total

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

author position
  • sole author6
  • first author6
  • middle author4
  • last author6

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • stat.AP6
  • stat.CO5
  • stat.ME4
  • cs.CR2
  • q-fin.ST2
  • stat.ML2
same name
  • Gordon J. Ross — 1 paper, h 2

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
20122026
most citedExponentially Weighted Moving Average Charts for Detecting Concept Drift

408 citations · 515 across the 20 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2026

Bayesian Modelling of Nonstationary Extreme Values Using a Nonparametric Hawkes Process

Gordon J. Ross, Dean Markwick

Modelling and forecasting the occurrence of extreme events is especially difficult when the event process is nonstationary, with changes in both the rate at which extremes occur an…

stat.ME2026

The Ancestor Hawkes Process with an Application to Group Chat Data

Gordon J Ross, Isabella Deutsch

The Hawkes process is used to model point process data where events occur in clusters and bursts. In a standard multivariate Hawkes process, every event that occurs in a dimension…

stat.ME2021

Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation

Gordon J. Ross

Change point methods are used to divide a sequence of observations into segments with different behaviour. Often, the distributional form of the observations is unknown, but the ch…

stat.ME2013★ 19 cited

Sequential Change Detection in the Presence of Unknown Parameters

Gordon J Ross

It is commonly required to detect change points in sequences of random variables. In the most difficult setting of this problem, change detection must be performed sequentially wit…

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