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Journal of Data Science, Statistics, and Visualisation, Volume 5

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Volume 5, Number 1, 2025

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  - journals/jdssv/RiosS25
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  - https://dblp.org/rec/journals/jdssv/RiosS25
Nicholas Rios, John Stufken:
Bootstrap aggregated designs for generalized linear models.

Volume 5, Number 2, 2025

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  - journals/jdssv/InglisP25
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Alan Inglis, Andrew Parnell:
Permutation-based visualisation of input and encoded space in autoencoders.

Volume 5, Number 3, 2025

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  - journals/jdssv/PottingerCGWGB25
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A Samuel Pottinger, Lawson Connor, Brookie Guzder-Williams, Maya Weltman-Fahs, Nick Gondek, Timothy Bowles:
Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo.

Volume 5, Number 4, 2025

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  - journals/jdssv/ChenCG25
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Sihan Chen, Joydeep Chowdhury, Marc G. Genton:
Robust maximum Lq-likelihood covariance estimation for replicated spatial data.

Volume 5, Number 5, 2025

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  - journals/jdssv/ParzerFV25
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Roman Parzer, Peter Filzmoser, Laura Vana-Gür:
Sparse data-driven random projection in regression for high-dimensional data.

Volume 5, Number 6, 2025

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  - journals/jdssv/TangKNNT25
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Wenqi Tang, Pekka Korhonen, Jenni Niku, Klaus Nordhausen, Sara Taskinen:
Comparing model-based unconstrained ordination methods in the analysis of high-dimensional compositional count data.

Volume 5, Number 7, 2025

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  - journals/jdssv/TokudaGMGT25
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Tomoki Tokuda, Ben Goodrich, Iven Van Mechelen, Andrew Gelman, Francis Tuerlinckx:
Visualizing distributions of covariance matrices.

Volume 5, Number 8, 2025

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Can Hakan Dagidir, Mia Hubert, Peter J. Rousseeuw:
Kernel outlier detection.

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