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Papers matching “high-dimensional inference” 43

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Projection inference for high-dimensional covariance matrices with structured shrinkage targets
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Fabian Mies, Ansgar Steland

0

citations
Resampling-Based Multisplit Inference for High-Dimensional Regression
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Anna Vesely, Jelle J. Goeman, Livio Finos

0

citations
Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices
2023 Journal of Multivariate Analysis article Mathematics Statistical Methods and Inference

Ansgar Steland

2

citations
High-dimensional variable selection via low-dimensional adaptive learning
2021 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

11

citations
$\texttt{NFDiag}$: High-dimensional MCMC Convergence Diagnosis with Normalizing Flows
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Kutay Nazli, Elena Sellentin

0

citations
High-dimensional, outcome-dependent missing data problems: Models for the human KIR loci
2025 Statistical Methods in Medical Research article Mathematics Statistical Methods and Bayesian Inference Open access

Lars L. J. van der Burg, Hein Putter, Henning Baldauf, Jürgen Sauter, Johannes Schetelig, Liesbeth C. de Wreede, +1 more

0

citations
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations
High-Dimensional Confidence Regions in Sparse MRI
2023 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut

5

citations
Fusion Consistency in High-Dimensional Logistic Regression with Factors
2026 Sankhya A article Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

0

citations
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications
2025 Computer Physics Communications article Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert, Csaba Balázs, Andrew Fowlie, Will J. Handley, N. T. Hunt-Smith, Roberto Ruiz de Austri, +1 more

22

citations
Penalized regression calibration: A method for the prediction of survival outcomes using complex longitudinal and high‐dimensional data
2021 Statistics in Medicine article Mathematics Statistical Methods and Inference Open access

Roula Tsonaka

10

citations
Foundations of Bayesian Inference for Complex Statistical Models
2022 Oberwolfach Reports article Mathematics Markov Chains and Monte Carlo Methods

Richard Nickl, Judith Rousseau, Aad van der Vaart

1

citations
Inference in an interactive multi-type branching network
2026 arXiv (Cornell University) preprint Mathematics Stochastic processes and statistical mechanics Open access

Gunay Hasanli, Michel Mandjes, Jiesen Wang

0

citations
Sequential Gaussian approximation for nonstationary time series in high dimensions
2023 Bernoulli article Mathematics Statistical Methods and Inference

Fabian Mies, Ansgar Steland

10

citations
Sequential Gaussian approximation for nonstationary time series in high dimensions
2022 RWTH Publications (RWTH Aachen) article Mathematics Statistical Methods and Inference Open access

Fabian Mies, Ansgar Steland

2

citations
Graphon Hawkes Processes: Sparse Estimation and Network Recovery
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Justin R. Baars, Roger J. A. Laeven, Michel Mandjes

0

citations
Simultaneous factors selection and fusion of their levels in penalized logistic regression
2024 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

1

citations
Permutation-based true discovery guarantee by sum tests
2023 Journal of the Royal Statistical Society Series B (Statistical Methodology) article Mathematics Statistical Methods in Clinical Trials Open access

Anna Vesely, Livio Finos, Jelle J. Goeman

13

citations
Semi‐supervised empirical Bayes group‐regularized factor regression
2022 Biometrical Journal article Mathematics Statistical Methods and Inference Open access

Magnus Münch, Mark A. van de Wiel, Aad van der Vaart, Carel F.W. Peeters

4

citations
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