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Nadja Klein

4 papers hereh-index 28 citations8 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • stat.ME2
  • cs.LG1
  • stat.AP1
same name
  • Nadja Klein — 4 papers, h 1
  • Nadja Klein — 4 papers, h 1
  • Nadja Klein — 4 papers, h 3
  • Nadja Klein — 3 papers, h 1
  • Nadja Klein — 3 papers, h 3
  • Nadja Klein — 1 paper, h 21

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

collaborators

4 papers

stat.ME2026

Bayesian Effect Selection for Additive Quantile Regression with an Application to Air Pollution Thresholds

Nadja Klein, Aaron Wei Qi Lee, Jorge Mateu

Air pollution regulatory limits are typically defined in terms of exceedances of concentration thresholds which are naturally related to conditional quantiles of the pollutant dist…

stat.AP2026

Semi-structured multi-state delinquency model for mortgage default

Victor Medina-Olivares, Wangzhen Xia, Stefan Lessmann +1

We propose a semi-structured discrete-time multi-state model to analyse mortgage delinquency transitions. This model combines an easy-to-understand structured additive predictor, w…

cs.LG2026

Scalable Learning of Multivariate Distributions via Coresets

Zeyu Ding, Katja Ickstadt, Nadja Klein +2

Efficient and scalable non-parametric or semi-parametric regression analysis and density estimation are of crucial importance to the fields of statistics and machine learning. Howe…

stat.ME2024

Boosting Distributional Copula Regression for Bivariate Right-Censored Time-to-Event Data

Guillermo Briseno-Sanchez, Nadja Klein, Andreas Groll +1

We propose a highly flexible distributional copula regression model for bivariate time-to-event data in the presence of right-censoring. The joint survival function of the response…

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