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Papers matching “high-dimensional inference” 74

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Phantom-Conditioned Nested Sampling
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert

0

citations
Simultaneous Factors Selection and Fusion of Their Levels in Penalized Logistic Regression
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

0

citations
Exact model comparisons in the plausibility framework
2021 Journal of Statistical Planning and Inference article Mathematics Statistical Methods and Inference Open access

Stefan Böhringer, Dietmar Rudolf Lohmann

1

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Statistical Learning for Individualized Asset Allocation
2022 Figshare dataset Mathematics Statistical Methods and Inference Open access

Yi Ding, Yingying Li, Rui Song

0

citations
Permutation-based multiple testing when fitting many generalized linear models
2025 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Riccardo De Santis, Jelle J. Goeman, Samuel Davenport, Jesse Hemerik, Livio Finos

4

citations
Bad Estimation, Good Prediction: The Lasso in Dense Regimes
2025 The American Statistician article Mathematics Statistical Methods and Inference Open access

Andrea Bratsberg, Magne Thoresen, Jelle J. Goeman

2

citations
Permutation-based multiple testing when fitting many generalized linear models
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Riccardo De Santis, Jelle J. Goeman, Samuel Davenport, Jesse Hemerik, Livio Finos

0

citations
Bad estimation, good prediction: the Lasso in dense regimes
2025 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Andrea Bratsberg, Magne Thoresen, Jelle J. Goeman

0

citations
Principal Covariate Regression with Nuclear Norm Penalty
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Kaiwen Liu, Lisa Verbeij, Wouter D. Weeda, Mark de Rooij

0

citations
Alternatives to default shrinkage methods can improve prediction accuracy, calibration, and coverage: A methods comparison study
2025 Statistical Methods in Medical Research article Mathematics Statistical Methods and Inference Open access

Mark A. van de Wiel, Gwenaël G. R. Leday, Martijn W. Heymans, Erik W. van Zwet, Aeilko Having Zwinderman, Jeroen Hoogland

11

citations
Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland, Martijn W. Heymans, Erik W. van Zwet, Ailko H. Zwinderman

5

citations
Imputation of missing values in multi-view data
2024 Information Fusion article Mathematics Statistical Methods and Bayesian Inference Open access cited by 1 patent

Wouter van Loon, Marjolein Fokkema, Frank de Vos, Marisa Koini, Reinhold Ernst Schmidt, Mark de Rooij

17

citations
Variable Selection via Fused Sparse‐Group Lasso Penalized Multi‐state Models Incorporating Molecular Data
2025 Biometrical Journal article Mathematics Statistical Methods and Inference Open access

Kaya Miah, Jelle J. Goeman, Hein Putter, Annette Kopp‐Schneider, Axel Benner

3

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

0

citations
Machine learning based conditional mean filter: a non-linear extension of the ensemble Kalman filter
2021 conference-abstract Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Truong‐Vinh Hoang, Sebastian Krumscheid, Raul F. Tempone

2

citations
A general framework for Bayes structured linear models
2020 The Annals of Statistics article Mathematics Statistical Methods and Inference Open access

Chao Gao, Aad van der Vaart, Harrison H. Zhou

30

citations
A unified approach for testing in Hilbert spaces on incomplete data
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Daniel Gaigall, Philipp Wübbolding

0

citations
Robust Testing in Generalized Linear Models by Sign Flipping Score Contributions
2020 Journal of the Royal Statistical Society Series B (Statistical Methodology) article Mathematics Statistical Methods and Inference Open access

Jesse Hemerik

25

citations
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Alina Bazarova, Johann F. Jadebeck, Henrik Zunker, Carolina J. Klett-Tammen, Torben Heinsohn, Wolfgang Wiechert, +2 more

0

citations
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
2024 Symmetry article Computer Science Gaussian Processes and Bayesian Inference Open access

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

11

citations
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors
2025 Stat article Mathematics Statistical Methods and Inference Open access

Ansgar Steland

1

citations
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Kai Lagemann, Christian Lagemann, Sach Mukherjee

1

citations
Discriminative versus generative approaches to simulation-based inference
2025 Machine Learning Science and Technology article Physics and Astronomy Particle physics theoretical and experimental studies Open access

Benjamin Sluijter, Sascha Diefenbacher, W. Bhimji, Benjamin Philip Nachman

3

citations