◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Z. Tan

16 papers hereh-index 11430 citations78 works total

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

author position
  • sole author2
  • first author4
  • middle author1
  • last author9

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • math.PR16
same name
  • Z. Tan — 25 papers, h 23
  • Z. Tan — 11 papers, h 16
  • Z. Tan — 8 papers, h 5
  • Z. Tan — 8 papers, h 12
  • Z. Tan — 7 papers, h 2
  • Z. Tan — 5 papers, h 6

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
20132023
most citedOn Piterbarg Max-discretisation Theorem for Multivariate Stationary Gaussian Processes

15 citations · 45 across the 16 of their papers we have counts for

collaborators
Showing 2014 · math.PRShow all

4 papers · 2 filters

math.PR2014★ 1 cited

Piterbarg's max-discretisation theorem for stationary vector Gaussian processes observed on different grids

E. Hashorva, Z. Tan

In this paper we derive Piterbarg's max-discretisation theorem for two different grids considering centered stationary vector Gaussian processes. So far in the literature results i…

math.PR2014★ 15 cited

On Piterbarg Max-discretisation Theorem for Multivariate Stationary Gaussian Processes

Z. Tan, E. Hashorva

Let {X(t),t≥0} be a stationary Gaussian process with zero-mean and unit variance. A deep result derived in Piterbarg (2004), which we refer to as Piterbarg's max-discretisa…

math.PR2014★ 12 cited

Asymptotics of maxima of strongly dependent Gaussian processes

Z. Tan, E. Hashorva, Z. Peng

Let {Xn​(t),t∈[0,∞)},n∈N be a sequence of centered dependent stationary Gaussian processes. The limit distribution of supt∈[0,T(n)]​∣Xn​(t)∣ is e…

math.PR2014

Finite-time ruin probability of aggregate Gaussian processes

Krzysztof Debicki, Enkelejd Hashorva, Lanpeng Ji +1

Let {∑i=1n​λi​Xi​(t),t∈[0,T]} be an aggregate Gaussian risk process with Xi​,i≤n independent Gaussian processes satisfying Piterbarg conditions an…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.