Quantile Importance Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Datta, Jyotishka, Polson, Nicholas G. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022)
by: Datta, Jyotishka, et al.
Published: (2022)
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
Bayesian ICA with super-Gaussian Source Priors
by: Datta, Jyotishka, et al.
Published: (2024)
by: Datta, Jyotishka, et al.
Published: (2024)
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
by: Shen, Wanggang, et al.
Published: (2026)
by: Shen, Wanggang, et al.
Published: (2026)
Bayesian Smoothed Quantile Regression
by: Liu, Bingqi, et al.
Published: (2025)
by: Liu, Bingqi, et al.
Published: (2025)
Functional Estimation of the Marginal Likelihood
by: Papaspiliopoulos, Omiros, et al.
Published: (2026)
by: Papaspiliopoulos, Omiros, et al.
Published: (2026)
Hamiltonian Monte Carlo for (Physics) Dummies
by: Mukherjee, Arghya, et al.
Published: (2026)
by: Mukherjee, Arghya, et al.
Published: (2026)
Surrogate-Based Bayesian Inference: Uncertainty Quantification and Active Learning
by: Roberts, Andrew Gerard, et al.
Published: (2026)
by: Roberts, Andrew Gerard, et al.
Published: (2026)
Sample continuation in Bayesian hierarchical model via variational inference
by: Liu, Yucong, et al.
Published: (2026)
by: Liu, Yucong, et al.
Published: (2026)
Polynomial Log-Marginals and Tweedie's Formula : When Is Bayes Possible?
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
Conformal Prediction = Bayes?
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
by: Crucinio, Francesca R., et al.
Published: (2025)
by: Crucinio, Francesca R., et al.
Published: (2025)
Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
by: Klebanov, Ilja, et al.
Published: (2026)
by: Klebanov, Ilja, et al.
Published: (2026)
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
by: Chada, Neil K., et al.
Published: (2023)
by: Chada, Neil K., et al.
Published: (2023)
A copula-based rank histogram ensemble filter
by: Subrahmanya, Amit N., et al.
Published: (2025)
by: Subrahmanya, Amit N., et al.
Published: (2025)
Large sample scaling analysis of the Zig-Zag algorithm for Bayesian inference
by: Agrawal, Sanket, et al.
Published: (2024)
by: Agrawal, Sanket, et al.
Published: (2024)
A friendly introduction to triangular transport
by: Ramgraber, Maximilian, et al.
Published: (2025)
by: Ramgraber, Maximilian, et al.
Published: (2025)
PCA-Guided Quantile Sampling: Preserving Data Structure in Large-Scale Subsampling
by: Hui-Mean, Foo, et al.
Published: (2025)
by: Hui-Mean, Foo, et al.
Published: (2025)
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
by: Tan, Hong Ye, et al.
Published: (2024)
by: Tan, Hong Ye, et al.
Published: (2024)
A Reduced Basis Decomposition Approach to Efficient Data Collection in Pairwise Comparison Studies
by: Jiang, Jiahua, et al.
Published: (2025)
by: Jiang, Jiahua, et al.
Published: (2025)
The Curious Problem of the Normal Inverse Mean: Robustness and Shrinkage
by: Ghosh, Soham, et al.
Published: (2024)
by: Ghosh, Soham, et al.
Published: (2024)
Branching Stein Variational Gradient Descent for sampling multimodal distributions
by: Bañales, Isaías, et al.
Published: (2025)
by: Bañales, Isaías, et al.
Published: (2025)
Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
by: Marsh, Joseph, et al.
Published: (2026)
by: Marsh, Joseph, et al.
Published: (2026)
Subsampling Error in Stochastic Gradient Langevin Diffusions
by: Jin, Kexin, et al.
Published: (2023)
by: Jin, Kexin, et al.
Published: (2023)
On Generalized Transmuted Lifetime Distribution
by: Pandey, Alok Kumar, et al.
Published: (2024)
by: Pandey, Alok Kumar, et al.
Published: (2024)
Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty
by: Kimchaiwong, Chatchuea, et al.
Published: (2024)
by: Kimchaiwong, Chatchuea, et al.
Published: (2024)
Prediction-Powered Inference with Inverse Probability Weighting
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
Nonparametric Bayesian analysis for the Galton-Watson process
by: Cannas, Massimo, et al.
Published: (2025)
by: Cannas, Massimo, et al.
Published: (2025)
Decision synthesis in monetary policy
by: Chernis, Tony, et al.
Published: (2024)
by: Chernis, Tony, et al.
Published: (2024)
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
On theoretical guarantees and a blessing of dimensionality for nonconvex sampling
by: Chak, Martin
Published: (2024)
by: Chak, Martin
Published: (2024)
Predictive Decision Synthesis for Portfolios: Betting on Better Models
by: Tallman, Emily, et al.
Published: (2024)
by: Tallman, Emily, et al.
Published: (2024)
Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates
by: Dixon, Thomas O., et al.
Published: (2023)
by: Dixon, Thomas O., et al.
Published: (2023)
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2021)
by: Shen, Wanggang, et al.
Published: (2021)
On micromodes in Bayesian posterior distributions and their implications for MCMC
by: Agrawal, Sanket, et al.
Published: (2026)
by: Agrawal, Sanket, et al.
Published: (2026)
An operator splitting analysis of Wasserstein--Fisher--Rao gradient flows
by: Crucinio, Francesca Romana, et al.
Published: (2025)
by: Crucinio, Francesca Romana, et al.
Published: (2025)
Solving the Poisson equation using coupled Markov chains
by: Douc, Randal, et al.
Published: (2022)
by: Douc, Randal, et al.
Published: (2022)
Blocked Gibbs Sampling for Improved Convergence in Finite Mixture Models
by: Swanson, David Michael
Published: (2024)
by: Swanson, David Michael
Published: (2024)
Adaptive Riemannian Manifold Hamiltonian Monte Carlo with Hierarchical Metric
by: Kailas, Miika, et al.
Published: (2026)
by: Kailas, Miika, et al.
Published: (2026)
A procedure for multiple testing of partial conjunction hypotheses based on a hazard rate inequality
by: Dickhaus, Thorsten, et al.
Published: (2021)
by: Dickhaus, Thorsten, et al.
Published: (2021)
Similar Items
-
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022) -
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
by: Coons, Thomas E., et al.
Published: (2025) -
Bayesian ICA with super-Gaussian Source Priors
by: Datta, Jyotishka, et al.
Published: (2024) -
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
by: Shen, Wanggang, et al.
Published: (2026) -
Bayesian Smoothed Quantile Regression
by: Liu, Bingqi, et al.
Published: (2025)