◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Nadine Gissibl

4 papers hereh-index 6289 citations9 works total

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

author position
  • first author3
  • last author1

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

fields
  • stat.ME2
  • math.PR1
  • math.ST1

identity via Semantic Scholar / OpenAlex

activity
20132019
most citedUsing proper divergence functions to evaluate climate models

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

collaborators

4 papers

math.ST2019

Identifiability and estimation of recursive max-linear models

Nadine Gissibl, Claudia Klüppelberg, Steffen Lauritzen

We address the identifiablity and estimation of recursive max-linear structural equation models represented by an edge weighted directed acyclic graph (DAG). Such models are genera…

stat.ME2017

Tail dependence of recursive max-linear models with regularly varying noise variables

Nadine Gissibl, Claudia Klüppelberg, Moritz Otto

Recursive max-linear structural equation models with regularly varying noise variables are considered. Their causal structure is represented by a directed acyclic graph (DAG). The…

math.PR2015

Max-linear models on directed acyclic graphs

Nadine Gissibl, Claudia Klüppelberg

We consider a new recursive structural equation model where all variables can be written as max-linear function of their parental node variables and independent noise variables. Th…

stat.ME2013★ 1 cited

Using proper divergence functions to evaluate climate models

Thordis L. Thorarinsdottir, Tilmann Gneiting, Nadine Gissibl

It has been argued persuasively that, in order to evaluate climate models, the probability distributions of model output need to be compared to the corresponding empirical distribu…

◍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.