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Papers matching “high-dimensional sampling” 19

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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

11

citations
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
A Metropolized Adaptive Subspace Algorithm for High-Dimensional Bayesian Variable Selection
2022 Bayesian Analysis article Mathematics Markov Chains and Monte Carlo Methods Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

2

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

Joshua G. Albert

0

citations
Almanac: HMC sampling with bounded velocity
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Javier Silva Lafaurie, L Whiteway, Elena Sellentin, Kutay Nazli, Andrew H. Jaffe, Alan F. Heavens, +1 more

0

citations
Phantom-Powered Nested Sampling
2023 Research Square preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert

0

citations
Phantom-Powered Nested Sampling
2023 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert

0

citations
On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks
2023 arXiv (Cornell University) preprint Mathematics Random Matrices and Applications Open access

Ansgar Steland

0

citations
Enhanced Hamiltonian Monte Carlo simulations using Hamiltonian neural networks
2023 PAMM article Mathematics Markov Chains and Monte Carlo Methods Open access

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd A. Markert, Michael D. Shields

3

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
CHRRT: boosting coordinate hit-and-run with rounding by thinning
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Johann F. Jadebeck, Wolfgang Wiechert, Katharina Nöh

1

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
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
A neural network assisted Metropolis adjusted Langevin algorithm
2020 Monte Carlo Methods and Applications article Mathematics Markov Chains and Monte Carlo Methods

Christian Alexander Müller, Holger Diedam, Thomas Mrziglod, Andreas Schuppert

4

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

2

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
Efficient Subset Simulation using Hamiltonian Neural Network enhanced Markov Chain Monte Carlo Methods
2024 OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) article Mathematics Markov Chains and Monte Carlo Methods Open access

Denny Thaler

0

citations

19 results