:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Tin D., Giordano, Ryan, Meager, Rachael, Broderick, Tamara
Format:	Preprint
Published:	2024
Subjects:	Methodology Computation
Online Access:	https://arxiv.org/abs/2408.07240
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Bayesian Infinitesimal Jackknife for Variance
by: Giordano, Ryan, et al.
Published: (2023)

Approximations to worst-case data dropping: unmasking failure modes
by: Huang, Jenny Y., et al.
Published: (2024)

Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
by: Giordano, Ryan, et al.
Published: (2023)

Wild posteriors in the wild
by: Shen, Yunyi, et al.
Published: (2025)

To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression
by: van Leeuwen, Florian D., et al.
Published: (2025)

Control Variates for MCMC
by: South, Leah, et al.
Published: (2024)

Exact MCMC for Intractable Proposals
by: Kakkad, Dwija, et al.
Published: (2024)

Improved MCMC with active subspaces
by: Ripoli, Leonardo, et al.
Published: (2025)

Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
by: Shen, Yunyi, et al.
Published: (2024)

Stochastic Gradient MCMC for Massive Geostatistical Data
by: Abba, Mohamed A., et al.
Published: (2024)

Consistent Validation for Predictive Methods in Spatial Settings
by: Burt, David R., et al.
Published: (2024)

Wrong Model, Right Uncertainty: Spatial Associations for Discrete Data with Misspecification
by: Burt, David R., et al.
Published: (2025)

Gaussian Approximation and Output Analysis for High-Dimensional MCMC
by: Pengel, Ardjen, et al.
Published: (2024)

MCMC Importance Sampling via Moreau-Yosida Envelopes
by: Shukla, Apratim, et al.
Published: (2025)

A Framework to Analyze Multiscale Sampling MCMC Methods
by: Seiffert, Lucas, et al.
Published: (2025)

Similarity-Driven Proposals for MCMC Algorithms on Discrete Spaces
by: Aiello, Luca, et al.
Published: (2026)

MCMC for Bayesian nonparametric mixture modeling under differential privacy
by: Beraha, Mario, et al.
Published: (2023)

Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End
by: Berlinghieri, Renato, et al.
Published: (2025)

Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
by: Berlinghieri, Renato, et al.
Published: (2023)

Restricted Search Space Graph MCMC via Birth-Death Processes
by: Greenberg, Morris, et al.
Published: (2026)

Common Functional Decompositions Can Mis-attribute Differences in Outcomes Between Populations
by: Quintero, Manuel, et al.
Published: (2025)

Do covariates explain why these groups differ? The choice of reference group can reverse conclusions in the Oaxaca-Blinder decomposition
by: Quintero, Manuel, et al.
Published: (2026)

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association
by: Burt, David R., et al.
Published: (2025)

Convergence Rate of Efficient MCMC with Ancillarity-Sufficiency Interweaving Strategy for Panel Data Models
by: Nakakita, Makoto, et al.
Published: (2025)

A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
by: Lee, Jong Hyeon, et al.
Published: (2025)

Double trouble: Predicting new variant counts across two heterogeneous populations
by: Shen, Yunyi, et al.
Published: (2024)

Intrepid MCMC: Metropolis-Hastings with Exploration
by: Chakroborty, Promit, et al.
Published: (2024)

Spectral subsampling MCMC for Lévy-driven continuous-time ARMA models with expensive likelihood contributions
by: Goodwin, Thomas, et al.
Published: (2026)

Graph-Enabled Fast MCMC Sampling with an Unknown High-Dimensional Prior Distribution
by: Zhong, Chenyang, et al.
Published: (2024)

Novel Bayesian algorithms for ARFIMA long-memory processes: a comparison between MCMC and ABC approaches
by: Gabor, James Cohen, et al.
Published: (2024)

Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows
by: Hu, Jun
Published: (2026)

Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks
by: Glatt-Holtz, Nathan E., et al.
Published: (2024)

Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
by: Hai, Do Tien, et al.
Published: (2025)

Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)

Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
by: Berchuck, Samuel I., et al.
Published: (2024)

A geometric approach to informed MCMC sampling
by: Roy, Vivekananda
Published: (2024)

MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
by: Chin, Andrew, et al.
Published: (2024)

Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
by: Chen, Yujie, et al.
Published: (2025)

Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
by: Thai, Tuan, et al.
Published: (2025)

Generalized inferential models for meta-analyses based on few studies
by: Cahoon, Joyce, et al.
Published: (2019)