An Asymptotic Equation Linking WAIC and WBIC in Singular Models
Fuente:
arXiv
Saved in:
| Main Authors: | Hayashi, Naoki, Kutsuna, Takuro, Takamuku, Sawa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM
by: Hayashi, Naoki, et al.
Published: (2024)
by: Hayashi, Naoki, et al.
Published: (2024)
Singular Learning Theory for Factor Analysis
by: Drton, Mathias, et al.
Published: (2025)
by: Drton, Mathias, et al.
Published: (2025)
Posterior Invariance of Multiplicative Contrasts under Margin Constraints in Contingency Tables
by: Stern, Rafael Bassi, et al.
Published: (2026)
by: Stern, Rafael Bassi, et al.
Published: (2026)
The e-value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences
by: Stern, Julio Michael, et al.
Published: (2022)
by: Stern, Julio Michael, et al.
Published: (2022)
Beyond independent component analysis: identifiability and algorithms
by: Ribot, Alvaro, et al.
Published: (2025)
by: Ribot, Alvaro, et al.
Published: (2025)
Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models
by: Gu, Yuqi
Published: (2025)
by: Gu, Yuqi
Published: (2025)
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics
by: Sturma, Nils, et al.
Published: (2022)
by: Sturma, Nils, et al.
Published: (2022)
What the Jeffreys-Lindley Paradox Really Is: Correcting a Persistent Misconception
by: Lovric, Miodrag M.
Published: (2025)
by: Lovric, Miodrag M.
Published: (2025)
A Trek Rule for the Lyapunov Equation
by: Hansen, Niels Richard
Published: (2024)
by: Hansen, Niels Richard
Published: (2024)
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
by: Drton, Mathias, et al.
Published: (2025)
by: Drton, Mathias, et al.
Published: (2025)
Cumulant Tensors in Partitioned Independent Component Analysis
by: Garrote-López, Marina, et al.
Published: (2024)
by: Garrote-López, Marina, et al.
Published: (2024)
Identifiability of Polynomial Models from First Principles and via a Gröbner Basis Approach
by: Godolphin, Janet D., et al.
Published: (2024)
by: Godolphin, Janet D., et al.
Published: (2024)
Causal discovery under mean independence and linearity
by: Mesters, Geert, et al.
Published: (2026)
by: Mesters, Geert, et al.
Published: (2026)
Algebraic Constraints for Linear Acyclic Causal Models
by: Gigliotti, Cole, et al.
Published: (2025)
by: Gigliotti, Cole, et al.
Published: (2025)
Generalized mutual information and their reference priors under Csizar f-divergence
by: Van Biesbroeck, Antoine
Published: (2023)
by: Van Biesbroeck, Antoine
Published: (2023)
Möbius inversion and the iterated bootstrap
by: Schäfer, Florian
Published: (2024)
by: Schäfer, Florian
Published: (2024)
Use of indicator functions to enumerate cross-array designs without direct product structure
by: Aoki, Satoshi, et al.
Published: (2022)
by: Aoki, Satoshi, et al.
Published: (2022)
Markov Combinations of Discrete Statistical Models
by: Marigliano, Orlando, et al.
Published: (2025)
by: Marigliano, Orlando, et al.
Published: (2025)
Confidence and discoveries with e-values
by: Vovk, Vladimir, et al.
Published: (2019)
by: Vovk, Vladimir, et al.
Published: (2019)
Estimation of Algebraic Sets: Extending PCA Beyond Linearity
by: González-Sanz, Alberto, et al.
Published: (2025)
by: González-Sanz, Alberto, et al.
Published: (2025)
Bayesian prediction regions and density estimation with type-2 censored data
by: Asgharzadeh, Akbar, et al.
Published: (2024)
by: Asgharzadeh, Akbar, et al.
Published: (2024)
Manifold Learning with Sparse Regularised Optimal Transport
by: Zhang, Stephen, et al.
Published: (2023)
by: Zhang, Stephen, et al.
Published: (2023)
New directions in algebraic statistics: Three challenges from 2023
by: Alexandr, Yulia, et al.
Published: (2024)
by: Alexandr, Yulia, et al.
Published: (2024)
Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices
by: Drton, Mathias, et al.
Published: (2024)
by: Drton, Mathias, et al.
Published: (2024)
The Maximum Likelihood Degree of Toric Models is Monotonic
by: Améndola, Carlos, et al.
Published: (2025)
by: Améndola, Carlos, et al.
Published: (2025)
Uncertainty Quantification Via the Posterior Predictive Variance
by: Chaudhuri, Sanjay, et al.
Published: (2026)
by: Chaudhuri, Sanjay, et al.
Published: (2026)
Representation of Context-Specific Causal Models with Observational and Interventional Data
by: Duarte, Eliana, et al.
Published: (2021)
by: Duarte, Eliana, et al.
Published: (2021)
The Bernstein-von Mises theorem for Bayesian one-pass online learning
by: Lee, Jeyong, et al.
Published: (2026)
by: Lee, Jeyong, et al.
Published: (2026)
Posterior contraction under misspecification and heteroscedasticity in non-linear inverse problems
by: Seizilles, Fanny, et al.
Published: (2026)
by: Seizilles, Fanny, et al.
Published: (2026)
Identifiability of VAR(1) model in a stationary setting
by: Liu, Bixuan
Published: (2025)
by: Liu, Bixuan
Published: (2025)
Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator
by: Améndola, Carlos, et al.
Published: (2023)
by: Améndola, Carlos, et al.
Published: (2023)
Geometry of fibers of the multiplication map of deep linear neural networks
by: Lehalleur, Simon Pepin, et al.
Published: (2024)
by: Lehalleur, Simon Pepin, et al.
Published: (2024)
Mathematical Theory of Collinearity Effects on Machine Learning Variable Importance Measures
by: Bladen, Kelvyn K., et al.
Published: (2025)
by: Bladen, Kelvyn K., et al.
Published: (2025)
On the relation between likelihood ratios and p-values for testing success probabilities of Bernoulli trials
by: Kager, Wouter, et al.
Published: (2024)
by: Kager, Wouter, et al.
Published: (2024)
One-dimensional Discrete Models of Maximum Likelihood Degree One
by: Améndola, Carlos, et al.
Published: (2025)
by: Améndola, Carlos, et al.
Published: (2025)
Towards an Asymptotic Efficiency Theory on Regular Parameter Manifolds
by: Sun, Lvfang, et al.
Published: (2025)
by: Sun, Lvfang, et al.
Published: (2025)
Hypothesis testing and confidence sets: why Bayesian not frequentist, and how to set a prior with a regulatory authority
by: Sewell, Roger
Published: (2021)
by: Sewell, Roger
Published: (2021)
Horospherical Depth and Busemann Median on Hadamard Manifolds
by: Jiang, Yangdi, et al.
Published: (2026)
by: Jiang, Yangdi, et al.
Published: (2026)
On the Existence of Unbiased Hypothesis Tests: An Algebraic Approach
by: McCormack, Andrew
Published: (2025)
by: McCormack, Andrew
Published: (2025)
Maximum Likelihood Degrees of Brownian Motion Tree Models: Star Trees and Root Invariance
by: Coons, Jane Ivy, et al.
Published: (2024)
by: Coons, Jane Ivy, et al.
Published: (2024)
Similar Items
-
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM
by: Hayashi, Naoki, et al.
Published: (2024) -
Singular Learning Theory for Factor Analysis
by: Drton, Mathias, et al.
Published: (2025) -
Posterior Invariance of Multiplicative Contrasts under Margin Constraints in Contingency Tables
by: Stern, Rafael Bassi, et al.
Published: (2026) -
The e-value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences
by: Stern, Julio Michael, et al.
Published: (2022) -
Beyond independent component analysis: identifiability and algorithms
by: Ribot, Alvaro, et al.
Published: (2025)