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70 Publications visible to you, out of a total of 70
Modeling and predicting spatio-temporal dynamics of PM_2.5 concentrations through time-evolving covariance models

Abstract

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Authors: Ghulam A. Qadir, Ying Sun

Date Published: 2025

Publication Type: Journal

Pandora: A Tool to Estimate Dimensionality Reduction Stability of Genotype Data

Abstract (Expand)

Motivation: Genotype datasets typically contain a large number of single nucleotide polymorphisms for a comparatively small number of individuals. To identify similarities between individuals and to … infer an individual’s origin or membership to a cultural group, dimensionality reduction techniques are routinely deployed. However, inherent (technical) difficulties such as missing or noisy data need to be accounted for when analyzing a lower dimensional representation of genotype data, and the uncertainty of such an analysis should be reported in all studies. However, to date, there exists no stability estimation technique for genotype data that can estimate this uncertainty. Results: Here, we present Pandora, a stability estimation framework for genotype data based on bootstrapping. Pandora computes an overall score to quantify the stability of the entire embedding, perindividual support values, and deploys a k-means clustering approach to assess the uncertainty of assignments to potential cultural groups. In addition to this bootstrap-based stability estimation, Pandora offers a sliding-window stability estimation for whole-genome data. Using published empirical and simulated datasets, we demonstrate the usage and utility of Pandora for studies that rely on dimensionality reduction techniques. Data and Code: Availability Pandora is available on GitHub https://github.com/tschuelia/Pandora. All Python scripts and data to reproduce our results are available on GitHub https://github.com/tschuelia/PandoraPaper.

Authors: Julia Haag, Alexander I. Jordan, Alexandros Stamatakis

Date Published: 15th Mar 2024

Publication Type: Journal

Deep learning for postprocessing global probabilistic forecasts on subseasonal time scales

Abstract

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Authors: Nina Horat, Sebastian Lerch

Date Published: 1st Mar 2024

Publication Type: Journal

Non-crossing quantile regression neural network as a calibration tool for ensemble weather forecasts

Abstract

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Authors: Mengmeng Song, Dazhi Yang, Sebastian Lerch, Xiang’ao Xia, Gokhan Mert Yagli, Jamie M. Bright, Yanbo Shen, Bai Liu, Xingli Liu, Martin János Mayer

Date Published: 1st Mar 2024

Publication Type: Journal

Easy uncertainty quantification (EasyUQ): Generating predictive distributions from single-valued model output

Abstract

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Authors: Eva-Maria Walz, Alexander Henzi, Johanna Ziegel, Tilmann Gneiting

Date Published: 8th Feb 2024

Publication Type: Journal

Testing quantile forecast optimality

Abstract

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Authors: Jack Fosten, Daniel Gutknecht, Marc-Oliver Pohle

Date Published: 8th Feb 2024

Publication Type: Journal

Learning to forecast: The Probabilistic Time Series Forecasting Challenge

Abstract

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Authors: Johannes Bracher, Nils Koster, Fabian Krüger, Sebastian Lerch

Date Published: 1st Feb 2024

Publication Type: Journal

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