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Lisa Leimenstoll

2 papers hereh-index 00 citations2 works total

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

author position
  • first author1
  • middle author1

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

fields
  • stat.ME1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedModeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2026

Identification and Inference for Causal Effects in Extremes under General Conditions

Lisa Leimenstoll, Melanie Schienle

Understanding the propagation of extreme events is important in many economic and environmental applications, yet most econometric methods for causal inference focus on average eff…

stat.ML2024★ 1 cited

Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks

Christopher Bülte, Lisa Leimenstoll, Melanie Schienle

In this work, we propose a simulation-based estimation approach using generative neural networks to determine dependencies of precipitation maxima and their underlying uncertainty…

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