Image de couverture de livre

Existence of Direct Density Ratio Estimators

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Banzato, Erika, Drton, Mathias, Saraf-Poor, Kian, Shi, Hongjian
Format:	Preprint
Publié:	2025
Sujets:	Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On universal inference in Gaussian mixture models
par: Shi, Hongjian, et autres
Publié: (2024)

Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics
par: Shi, Hongjian, et autres
Publié: (2021)

Cost-Aware Optimized Front-Door Experimental Design
par: Mareis, Leopold, et autres
Publié: (2026)

Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables
par: Sturma, Nils, et autres
Publié: (2025)

On the distance between mean and geometric median in high dimensions
par: Schwank, Richard, et autres
Publié: (2025)

On weak convergence of Gaussian conditional distributions
par: Lumpp, Sarah, et autres
Publié: (2025)

Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices
par: Drton, Mathias, et autres
Publié: (2024)

Matching Criterion for Identifiability in Sparse Factor Analysis
par: Sturma, Nils, et autres
Publié: (2025)

Riesz Regression As Direct Density Ratio Estimation
par: Kato, Masahiro
Publié: (2025)

Dual Likelihood for Causal Inference under Structure Uncertainty
par: Strieder, David, et autres
Publié: (2024)

Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
par: Strieder, David, et autres
Publié: (2024)

Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances
par: Strieder, David, et autres
Publié: (2023)

Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics
par: Sturma, Nils, et autres
Publié: (2022)

Linearity-Inducing Priors for Poisson Parameter Estimation Under $L^{1}$ Loss
par: Barnes, Leighton P., et autres
Publié: (2025)

Probability Metrics for Tropical Spaces of Different Dimensions
par: Talbut, Roan, et autres
Publié: (2023)

$L^1$ Estimation: On the Optimality of Linear Estimators
par: Barnes, Leighton P., et autres
Publié: (2023)

Ratio Covers of Convex Sets and Optimal Mixture Density Estimation
par: Compton, Spencer, et autres
Publié: (2026)

Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise
par: Barnes, Leighton P., et autres
Publié: (2024)

Faithlessness in Gaussian graphical models
par: Drton, Mathias, et autres
Publié: (2024)

Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
par: Kato, Masahiro
Publié: (2025)

E-values and sequential power-one tests for monotonicity and unimodality
par: Wang, Hongjian, et autres
Publié: (2026)

M-estimation with e-statistics
par: Wang, Hongjian, et autres
Publié: (2026)

Kernel Smoothing for Bounded Copula Densities
par: Muia, Mathias N., et autres
Publié: (2025)

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization
par: Meng, Xuran, et autres
Publié: (2024)

Density Estimation Using the Sinc Kernel
par: Glad, Ingrid Kristine, et autres
Publié: (2026)

Conditional Independence in Stationary Diffusions
par: Boege, Tobias, et autres
Publié: (2024)

Anytime-valid FDR control with the stopped e-BH procedure
par: Wang, Hongjian, et autres
Publié: (2025)

Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models
par: Hu, Xiaohan, et autres
Publié: (2025)

Adaptive Estimation of the Transition Density of Controlled Markov Chains
par: Banerjee, Imon, et autres
Publié: (2025)

Lower Bounds for Kernel Density Estimation on Symmetric Spaces
par: Asta, Dena Marie
Publié: (2024)

Nonparametric Estimation of the Transition Density Function for Diffusion Processes
par: Comte, Fabienne, et autres
Publié: (2024)

Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance
par: Wang, Hongjian, et autres
Publié: (2023)

Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
par: Aletti, Giacomo, et autres
Publié: (2023)

A unified recipe for deriving (time-uniform) PAC-Bayes bounds
par: Chugg, Ben, et autres
Publié: (2023)

Log-concave Density Estimation with Independent Components
par: Kubal, Sharvaj, et autres
Publié: (2024)

Debiasing Welch's Method for Spectral Density Estimation
par: Astfalck, Lachlan C., et autres
Publié: (2023)

Transfer Learning Beyond Bounded Density Ratios
par: Kalavasis, Alkis, et autres
Publié: (2024)

Nadaraya-Watson Type Estimator of the Transition Density Function for Diffusion Processes
par: Marie, Nicolas, et autres
Publié: (2025)

Upper Bounds for the I-MSE and max-MSE of Kernel Density Estimators
par: Hjort, Nils Lid, et autres
Publié: (2026)

Jackknife Empirical Likelihood Ratio Test for Cauchy Distribution
par: Avhad, Ganesh Vishnu, et autres
Publié: (2024)