Saved in:
| Main Authors: | Bortolato, Elena, Ventura, Laura |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.11072 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Discrepancy Measure: Higher-order and Skewed approximations
by: Bortolato, Elena, et al.
Published: (2025)
by: Bortolato, Elena, et al.
Published: (2025)
Adaptive partition Factor Analysis
by: Bortolato, Elena, et al.
Published: (2024)
by: Bortolato, Elena, et al.
Published: (2024)
Credible rectangles for high-dimensional posterior comparison
by: Chevaux, Alice, et al.
Published: (2026)
by: Chevaux, Alice, et al.
Published: (2026)
Amortised and provably-robust simulation-based inference
by: Bharti, Ayush, et al.
Published: (2026)
by: Bharti, Ayush, et al.
Published: (2026)
Model--based clustering for spherical and hyper--spherical data using elliptically symmetric distributions
by: Perdikis, Theodoros, et al.
Published: (2026)
by: Perdikis, Theodoros, et al.
Published: (2026)
Diffusion posterior sampling for simulation-based inference in tall data settings
by: Linhart, Julia, et al.
Published: (2024)
by: Linhart, Julia, et al.
Published: (2024)
Robust Bayesian methods using amortized simulation-based inference
by: Yuyan, Wang, et al.
Published: (2025)
by: Yuyan, Wang, et al.
Published: (2025)
A cautionary note for plasmode simulation studies in the setting of causal inference
by: Shaw, Pamela A, et al.
Published: (2025)
by: Shaw, Pamela A, et al.
Published: (2025)
Automatic selection of hyper-parameters via the use of softened profile likelihood
by: Chen, Gengyang, et al.
Published: (2025)
by: Chen, Gengyang, et al.
Published: (2025)
Design-based theory for causal inference
by: Lu, Xin, et al.
Published: (2025)
by: Lu, Xin, et al.
Published: (2025)
Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)
by: Castelletti, Federico, et al.
Published: (2024)
Likelihood-based inference for the Gompertz model with Poisson errors
by: Onorati, Paolo, et al.
Published: (2025)
by: Onorati, Paolo, et al.
Published: (2025)
Coverage is not enough: Frequentist tests of simulation-based inference for primordial non-Gaussianity
by: Alokda, Toka, et al.
Published: (2026)
by: Alokda, Toka, et al.
Published: (2026)
Effective and flexible depth-based inference for functional parameters
by: Yeon, Hyemin
Published: (2026)
by: Yeon, Hyemin
Published: (2026)
Jackknife Empirical Likelihood-based inference for S-Gini indices
by: N, Sreelakshmi, et al.
Published: (2017)
by: N, Sreelakshmi, et al.
Published: (2017)
Comment on "An implementation of neural simulation-based inference for parameter estimation in ATLAS''
by: Shyamsundar, Prasanth
Published: (2025)
by: Shyamsundar, Prasanth
Published: (2025)
Design-based theory for causal inference from adaptive experiments
by: Li, Xinran, et al.
Published: (2026)
by: Li, Xinran, et al.
Published: (2026)
Variational inference based on a subclass of closed skew normals
by: Tan, Linda S. L., et al.
Published: (2023)
by: Tan, Linda S. L., et al.
Published: (2023)
Confidence Distributions and Related Themes
by: Hjort, Nils Lid, et al.
Published: (2026)
by: Hjort, Nils Lid, et al.
Published: (2026)
Confidence Distributions for FIC scores
by: Cunen, Céline, et al.
Published: (2026)
by: Cunen, Céline, et al.
Published: (2026)
Policy Learning with Confidence
by: Chernozhukov, Victor, et al.
Published: (2025)
by: Chernozhukov, Victor, et al.
Published: (2025)
Confidences in Hypotheses
by: Bornholt, Graham N.
Published: (2021)
by: Bornholt, Graham N.
Published: (2021)
Confidence distributions for the parameters in an autoregressive process
by: Larsson, Rolf
Published: (2025)
by: Larsson, Rolf
Published: (2025)
Design-based inference for generalized network experiments with stochastic interventions
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Simultaneous directional inference
by: Heller, Ruth, et al.
Published: (2023)
by: Heller, Ruth, et al.
Published: (2023)
Sampling-based federated inference for M-estimators with non-smooth objective functions
by: Li, Xiudi, et al.
Published: (2025)
by: Li, Xiudi, et al.
Published: (2025)
Regression-based proximal causal inference for right-censored time-to-event data
by: Li, Kendrick, et al.
Published: (2024)
by: Li, Kendrick, et al.
Published: (2024)
Fast and robust cross-validation-based scoring rule inference for spatial statistics
by: Olafsdottir, Helga Kristin, et al.
Published: (2024)
by: Olafsdottir, Helga Kristin, et al.
Published: (2024)
Table inference for combinatorial origin-destination choices in agent-based population synthesis
by: Zachos, Ioannis, et al.
Published: (2023)
by: Zachos, Ioannis, et al.
Published: (2023)
Calibrated inference: statistical inference that accounts for both sampling uncertainty and distributional uncertainty
by: Jeong, Yujin, et al.
Published: (2022)
by: Jeong, Yujin, et al.
Published: (2022)
Statistical inference after variable selection in Cox models: A simulation study
by: Schemet, Lena, et al.
Published: (2026)
by: Schemet, Lena, et al.
Published: (2026)
Confidence and Assurance of Percentiles
by: Joshi, Sanjay M.
Published: (2024)
by: Joshi, Sanjay M.
Published: (2024)
A Fuzzy Approach for Randomized Confidence Intervals
by: Felix, Carlos Henrique Trigo Nasser, et al.
Published: (2025)
by: Felix, Carlos Henrique Trigo Nasser, et al.
Published: (2025)
Confidence intervals for tree-structured varying coefficients
by: Spuck, Nikolai, et al.
Published: (2024)
by: Spuck, Nikolai, et al.
Published: (2024)
A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
by: Min, Jiaqi, et al.
Published: (2025)
by: Min, Jiaqi, et al.
Published: (2025)
Joint mixed-effects models for causal inference in clustered network-based observational studies
by: McNealis, Vanessa, et al.
Published: (2024)
by: McNealis, Vanessa, et al.
Published: (2024)
How to achieve model-robust inference in stepped wedge trials with model-based methods?
by: Wang, Bingkai, et al.
Published: (2024)
by: Wang, Bingkai, et al.
Published: (2024)
Variational autoencoder for inference of nonlinear mixed effect models based on ordinary differential equations
by: Li, Zhe, et al.
Published: (2026)
by: Li, Zhe, et al.
Published: (2026)
Design-based edge-level causal inference with machine learning assisted covariate adjustment
by: Yu, Haoyang, et al.
Published: (2026)
by: Yu, Haoyang, et al.
Published: (2026)
Universal inference for variance components
by: Zhang, Yiqiao, et al.
Published: (2025)
by: Zhang, Yiqiao, et al.
Published: (2025)
Similar Items
-
Bayesian Discrepancy Measure: Higher-order and Skewed approximations
by: Bortolato, Elena, et al.
Published: (2025) -
Adaptive partition Factor Analysis
by: Bortolato, Elena, et al.
Published: (2024) -
Credible rectangles for high-dimensional posterior comparison
by: Chevaux, Alice, et al.
Published: (2026) -
Amortised and provably-robust simulation-based inference
by: Bharti, Ayush, et al.
Published: (2026) -
Model--based clustering for spherical and hyper--spherical data using elliptically symmetric distributions
by: Perdikis, Theodoros, et al.
Published: (2026)