Saved in:
| Main Author: | Scharf, Henry R. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.01572 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
by: Quiroz, Matias, et al.
Published: (2026)
by: Quiroz, Matias, et al.
Published: (2026)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
Bayesian inference and cure rate modeling for event history data
by: Papastamoulis, Panagiotis, et al.
Published: (2023)
by: Papastamoulis, Panagiotis, et al.
Published: (2023)
Scalable Bayesian inference for time series via divide-and-conquer
by: Ou, Rihui, et al.
Published: (2021)
by: Ou, Rihui, et al.
Published: (2021)
Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)
by: Li, Chengkun, et al.
Published: (2023)
Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026)
by: Salimi, Selva, et al.
Published: (2026)
A modelling framework for detecting and leveraging node-level information in Bayesian network inference
by: Xi, Xiaoyue, et al.
Published: (2023)
by: Xi, Xiaoyue, et al.
Published: (2023)
Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)
by: Whitaker, Sam A., et al.
Published: (2024)
Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023)
by: Dixit, Vaidehi, et al.
Published: (2023)
Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm
by: Tancini, Daniele, et al.
Published: (2025)
by: Tancini, Daniele, et al.
Published: (2025)
Bayesian inference for functional extreme events defined via partially unobserved processes
by: Thannheimer, Max, et al.
Published: (2025)
by: Thannheimer, Max, et al.
Published: (2025)
Fast Bayesian inference in a class of sparse linear mixed effects models
by: Spyropoulou, M-Z., et al.
Published: (2024)
by: Spyropoulou, M-Z., et al.
Published: (2024)
Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)
by: Aliverti, Emanuele
Published: (2025)
Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025)
by: Kelly, Ryan P., et al.
Published: (2025)
Posterior risk of modular and semi-modular Bayesian inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
Expectation-propagation for Bayesian empirical likelihood inference
by: Ng, Kenyon, et al.
Published: (2025)
by: Ng, Kenyon, et al.
Published: (2025)
Bayesian inference for stochastic oscillatory systems using the phase-corrected Linear Noise Approximation
by: Swallow, Ben, et al.
Published: (2022)
by: Swallow, Ben, et al.
Published: (2022)
Why not a thin plate spline for spatial models? A comparative study using Bayesian inference
by: Cavieres, Joaquin, et al.
Published: (2024)
by: Cavieres, Joaquin, et al.
Published: (2024)
Distributed model building and recursive integration for big spatial data modeling
by: Hector, Emily C., et al.
Published: (2023)
by: Hector, Emily C., et al.
Published: (2023)
Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation
by: Temfack, Dhorasso, et al.
Published: (2025)
by: Temfack, Dhorasso, et al.
Published: (2025)
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)
by: Kang, Bokgyeong, et al.
Published: (2023)
Target-aware Bayesian inference via generalized thermodynamic integration
by: Llorente, F., et al.
Published: (2025)
by: Llorente, F., et al.
Published: (2025)
Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
by: Baghfalaki, Taban, et al.
Published: (2025)
by: Baghfalaki, Taban, et al.
Published: (2025)
Bayesian inference for case-control point pattern data in spatial epidemiology with the \texttt{inlabru} R package
by: Palmí-Perales, Francisco, et al.
Published: (2025)
by: Palmí-Perales, Francisco, et al.
Published: (2025)
Robust Bayesian methods using amortized simulation-based inference
by: Yuyan, Wang, et al.
Published: (2025)
by: Yuyan, Wang, et al.
Published: (2025)
Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)
by: Rustand, Denis, et al.
Published: (2026)
Blessing of dimension in Bayesian inference on covariance matrices
by: Chattopadhyay, Shounak, et al.
Published: (2024)
by: Chattopadhyay, Shounak, et al.
Published: (2024)
Bayesian inference for the learning rate in Generalised Bayesian inference
by: Lee, Jeong Eun, et al.
Published: (2025)
by: Lee, Jeong Eun, et al.
Published: (2025)
On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)
by: Alexopoulos, Angelos, et al.
Published: (2025)
Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
by: Mukherjee, Arghya, et al.
Published: (2025)
by: Mukherjee, Arghya, et al.
Published: (2025)
A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022)
by: van Niekerk, Janet, et al.
Published: (2022)
Efficient Bayesian inference for two-stage models in environmental epidemiology
by: Larin, Konstantin, et al.
Published: (2025)
by: Larin, Konstantin, et al.
Published: (2025)
Objective Bayesian inference for the Dhillon distribution
by: Ramos, Pedro Luiz, et al.
Published: (2025)
by: Ramos, Pedro Luiz, et al.
Published: (2025)
Bayesian inference for aggregated Hawkes processes
by: Zhou, Lingxiao, et al.
Published: (2022)
by: Zhou, Lingxiao, et al.
Published: (2022)
Advances in projection predictive inference
by: McLatchie, Yann, et al.
Published: (2023)
by: McLatchie, Yann, et al.
Published: (2023)
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)
by: Ma, Li, et al.
Published: (2024)
Bayesian inference for velocity-jump models for movement
by: Blackwell, Paul G.
Published: (2025)
by: Blackwell, Paul G.
Published: (2025)
Distribution-Free Bayesian multivariate predictive inference
by: Yekutieli, Daniel
Published: (2021)
by: Yekutieli, Daniel
Published: (2021)
Bayesian inference of vector autoregressions with tensor decompositions
by: Luo, Yiyong, et al.
Published: (2022)
by: Luo, Yiyong, et al.
Published: (2022)
Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)
by: Yip, Hiu Ching, et al.
Published: (2024)
Similar Items
-
Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
by: Quiroz, Matias, et al.
Published: (2026) -
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023) -
Bayesian inference and cure rate modeling for event history data
by: Papastamoulis, Panagiotis, et al.
Published: (2023) -
Scalable Bayesian inference for time series via divide-and-conquer
by: Ou, Rihui, et al.
Published: (2021) -
Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)