Bayesian one- and two-sided inference on the local effective dimension
Fuente:
arXiv
Saved in:
| Main Author: | Belitser, Eduard |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Importance sampling for Bayesian inference: polynomial-dimension dependent error bounds
by: González, Fabián, et al.
Published: (2026)
by: González, Fabián, et al.
Published: (2026)
Bayesian inference in high-dimensional models
by: Banerjee, Sayantan, et al.
Published: (2021)
by: Banerjee, Sayantan, et al.
Published: (2021)
Differentiability and overlap concentration in optimal Bayesian inference
by: Chen, Hong-Bin, et al.
Published: (2025)
by: Chen, Hong-Bin, et al.
Published: (2025)
Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024)
by: Lyu, Ziyang, et al.
Published: (2024)
Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026)
by: Sabbagh, Magid, et al.
Published: (2026)
Some observations on the ambivalent role of symmetries in Bayesian inference problems
by: Semerjian, Guilhem
Published: (2025)
by: Semerjian, Guilhem
Published: (2025)
Bayesian inference with Besov-Laplace priors for spatially inhomogeneous binary classification surfaces
by: Giordano, Matteo
Published: (2025)
by: Giordano, Matteo
Published: (2025)
Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
by: He, Junhui, et al.
Published: (2024)
by: He, Junhui, et al.
Published: (2024)
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)
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
by: Stoehr, Julien, et al.
Published: (2015)
by: Stoehr, Julien, et al.
Published: (2015)
A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
by: Sogan, Roland B., et al.
Published: (2026)
by: Sogan, Roland B., et al.
Published: (2026)
Quasi-likelihood inference for SDE with mixed-effects observed at high frequency
by: Delattre, Maud, et al.
Published: (2025)
by: Delattre, Maud, et al.
Published: (2025)
Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024)
by: Nüsken, Nikolas
Published: (2024)
Quantum dynamics in one and two dimensions via recursion method
by: Uskov, Filipp, et al.
Published: (2024)
by: Uskov, Filipp, et al.
Published: (2024)
Nonparametric Bayesian inference for reversible multi-dimensional diffusions
by: Giordano, Matteo, et al.
Published: (2020)
by: Giordano, Matteo, et al.
Published: (2020)
Likelihood distortion and Bayesian local robustness
by: Di Noia, Antonio, et al.
Published: (2024)
by: Di Noia, Antonio, et al.
Published: (2024)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
Design-based inference for generalized causal effects in randomized experiments
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Estimation for the damping factor of the driving process of an SPDE in two space dimensions
by: Tonaki, Yozo, et al.
Published: (2024)
by: Tonaki, Yozo, et al.
Published: (2024)
Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference
by: Bellec, Pierre C
Published: (2025)
by: Bellec, Pierre C
Published: (2025)
Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)
by: Binbin, Li, et al.
Published: (2025)
On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference
by: Ding, Xiucai, et al.
Published: (2024)
by: Ding, Xiucai, et al.
Published: (2024)
Small dispersion asymptotics for an SPDE in two space dimensions using triple increments
by: Tonaki, Yozo, et al.
Published: (2024)
by: Tonaki, Yozo, et al.
Published: (2024)
Small diffusivity asymptotics for a linear parabolic SPDE in two space dimensions
by: Tonaki, Yozo, et al.
Published: (2024)
by: Tonaki, Yozo, et al.
Published: (2024)
Estimation for linear parabolic SPDEs in two space dimensions with unknown damping parameters
by: Tonaki, Yozo, et al.
Published: (2025)
by: Tonaki, Yozo, et al.
Published: (2025)
The CATT SATT on the MATT: semiparametric inference for sample treatment effects on the treated
by: Yiu, Andrew
Published: (2024)
by: Yiu, Andrew
Published: (2024)
Causal inference under transportability assumptions for conditional relative effect measures
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Statistical inference for rough volatility: Minimax Theory
by: Chong, Carsten, et al.
Published: (2022)
by: Chong, Carsten, et al.
Published: (2022)
Asymptotics for conformal inference
by: Gazin, Ulysse
Published: (2024)
by: Gazin, Ulysse
Published: (2024)
Estimation and variable selection in high dimension in nonlinear mixed-effects models
by: Caillebotte, Antoine, et al.
Published: (2025)
by: Caillebotte, Antoine, et al.
Published: (2025)
Embedding Network Autoregression for time series analysis and causal peer effect inference
by: Chang, Jae Ho, et al.
Published: (2024)
by: Chang, Jae Ho, et al.
Published: (2024)
Sampling models for selective inference
by: Rasines, Daniel Garcia, et al.
Published: (2025)
by: Rasines, Daniel Garcia, et al.
Published: (2025)
Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
by: Ung, Lawson, et al.
Published: (2024)
by: Ung, Lawson, et al.
Published: (2024)
Statistical inference on kurtosis of elliptical distributions
by: Zhou, Bowen, et al.
Published: (2024)
by: Zhou, Bowen, et al.
Published: (2024)
On universal inference in Gaussian mixture models
by: Shi, Hongjian, et al.
Published: (2024)
by: Shi, Hongjian, et al.
Published: (2024)
Causal inference via implied interventions
by: Meixide, Carlos García, et al.
Published: (2025)
by: Meixide, Carlos García, et al.
Published: (2025)
Higher-order accurate two-sample network inference and network hashing
by: Shao, Meijia, et al.
Published: (2022)
by: Shao, Meijia, et al.
Published: (2022)
Relative belief inferences from decision theory
by: Evans, Michael, et al.
Published: (2024)
by: Evans, Michael, et al.
Published: (2024)
Uniform inference for kernel instrumental variable regression
by: Lob, Marvin, et al.
Published: (2025)
by: Lob, Marvin, et al.
Published: (2025)
Robustified Gaussian quasi-likelihood inference for volatility
by: Eguchi, Shoichi, et al.
Published: (2025)
by: Eguchi, Shoichi, et al.
Published: (2025)
Similar Items
-
Importance sampling for Bayesian inference: polynomial-dimension dependent error bounds
by: González, Fabián, et al.
Published: (2026) -
Bayesian inference in high-dimensional models
by: Banerjee, Sayantan, et al.
Published: (2021) -
Differentiability and overlap concentration in optimal Bayesian inference
by: Chen, Hong-Bin, et al.
Published: (2025) -
Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024) -
Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026)