Guardado en:
| Autores principales: | Zhang, Yan, Volgushev, Stanislav |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2604.12087 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On a surprising behavior of the likelihood ratio test in non-parametric mixture models
por: Zhang, Yan, et al.
Publicado: (2025)
por: Zhang, Yan, et al.
Publicado: (2025)
Fast computation and theoretical guarantees for the NPMLE in exponential family mixtures
por: Zhang, Yan
Publicado: (2026)
por: Zhang, Yan
Publicado: (2026)
Simultaneous hypothesis testing for comparing many functional means
por: Decker, Colin, et al.
Publicado: (2025)
por: Decker, Colin, et al.
Publicado: (2025)
Universality of Benign Overfitting in Binary Linear Classification
por: Hashimoto, Ichiro, et al.
Publicado: (2025)
por: Hashimoto, Ichiro, et al.
Publicado: (2025)
The weak-feature-impact effect on the NPMLE in monotone binary regression
por: Kieffer, Dario, et al.
Publicado: (2025)
por: Kieffer, Dario, et al.
Publicado: (2025)
Learning extremal graphical structures in high dimensions
por: Engelke, Sebastian, et al.
Publicado: (2021)
por: Engelke, Sebastian, et al.
Publicado: (2021)
On the best approximation by finite Gaussian mixtures
por: Ma, Yun, et al.
Publicado: (2024)
por: Ma, Yun, et al.
Publicado: (2024)
Characterisations of Kullback--Leibler approximation by finite Gaussian mixtures
por: Nguyen, Hien Duy
Publicado: (2026)
por: Nguyen, Hien Duy
Publicado: (2026)
Weighted NPMLE for the Marginal Mean of Recurrent Events with a Competing Terminal Event
por: Bellach, Anna, et al.
Publicado: (2026)
por: Bellach, Anna, et al.
Publicado: (2026)
Empirical tail dependence functions in high dimensions: uniform linearizations and inference
por: Bücher, Axel, et al.
Publicado: (2026)
por: Bücher, Axel, et al.
Publicado: (2026)
Smoothed NPMLEs in nonparametric Poisson mixtures and beyond
por: Lim, Keunwoo, et al.
Publicado: (2024)
por: Lim, Keunwoo, et al.
Publicado: (2024)
Stochastic comparisons of finite mixtures with general exponentiated location-scale distributed components
por: Bhakta, Raju, et al.
Publicado: (2025)
por: Bhakta, Raju, et al.
Publicado: (2025)
Gaussian mixture layers for neural networks
por: Chewi, Sinho, et al.
Publicado: (2025)
por: Chewi, Sinho, et al.
Publicado: (2025)
On consistency of the MLE under finite mixtures of location-scale distributions with a structural parameter
por: Liu, Guanfu, et al.
Publicado: (2025)
por: Liu, Guanfu, et al.
Publicado: (2025)
On universal inference in Gaussian mixture models
por: Shi, Hongjian, et al.
Publicado: (2024)
por: Shi, Hongjian, et al.
Publicado: (2024)
Modifications of the BIC for order selection in finite mixture models
por: Nguyen, Hien Duy, et al.
Publicado: (2025)
por: Nguyen, Hien Duy, et al.
Publicado: (2025)
Approximation by mixtures of multivariate Erlang distributions
por: Nguyen, Hien Duy
Publicado: (2026)
por: Nguyen, Hien Duy
Publicado: (2026)
A mixture autoregressive model based on Gaussian and Student's $t$-distributions
por: Virolainen, Savi
Publicado: (2020)
por: Virolainen, Savi
Publicado: (2020)
Orderings of the finite mixture with modified proportional hazard rate model
por: Guo, Lina
Publicado: (2024)
por: Guo, Lina
Publicado: (2024)
A flexible and robust approach to univariate Gaussian splitting using parameterised Gaussian mixtures
por: Mikhin, Dmitry, et al.
Publicado: (2026)
por: Mikhin, Dmitry, et al.
Publicado: (2026)
Adaptive finite element type decomposition of Gaussian processes
por: Kim, Jaehoan, et al.
Publicado: (2025)
por: Kim, Jaehoan, et al.
Publicado: (2025)
Haussdorff consistency of MLE in folded normal and Gaussian mixtures
por: Mallik, Koustav
Publicado: (2025)
por: Mallik, Koustav
Publicado: (2025)
On the differentiability of $ϕ$-projections in the discrete finite case
por: Geenens, Gery, et al.
Publicado: (2024)
por: Geenens, Gery, et al.
Publicado: (2024)
Estimating ordered variance of two scale mixture of normal distributions
por: Bajpai, Shrajal, et al.
Publicado: (2026)
por: Bajpai, Shrajal, et al.
Publicado: (2026)
A family of consistent normally distributed tests for Poissonity
por: Di Noia, Antonio, et al.
Publicado: (2021)
por: Di Noia, Antonio, et al.
Publicado: (2021)
Approximation rates for finite mixtures of location-scale models and fast least-squares estimators
por: Nguyen, Hien Duy, et al.
Publicado: (2025)
por: Nguyen, Hien Duy, et al.
Publicado: (2025)
Universality laws for Gaussian mixtures in generalized linear models
por: Dandi, Yatin, et al.
Publicado: (2023)
por: Dandi, Yatin, et al.
Publicado: (2023)
The Bernoulli structure of discrete distributions
por: Fontana, Roberto, et al.
Publicado: (2024)
por: Fontana, Roberto, et al.
Publicado: (2024)
Stochastic orderings between two finite mixture models with inverted-Kumaraswamy distributed components
por: Bhakta, Raju, et al.
Publicado: (2023)
por: Bhakta, Raju, et al.
Publicado: (2023)
Exact two-stage finite-mixture representations for species sampling processes
por: Mena, Ramsés H., et al.
Publicado: (2025)
por: Mena, Ramsés H., et al.
Publicado: (2025)
The interplay of signal-to-noise ratio and variance misspecification in Gaussian mixtures
por: Serov, Vladimir, et al.
Publicado: (2026)
por: Serov, Vladimir, et al.
Publicado: (2026)
New closed-form estimators for discrete distributions
por: Fischer, Adrian
Publicado: (2025)
por: Fischer, Adrian
Publicado: (2025)
Gaussian quasi-likelihood analysis for non-Gaussian linear mixed-effects model with system noise
por: Imamura, Takumi, et al.
Publicado: (2024)
por: Imamura, Takumi, et al.
Publicado: (2024)
On new tests for the Poisson distribution based on empirical weight functions
por: Kirui, Winnie, et al.
Publicado: (2024)
por: Kirui, Winnie, et al.
Publicado: (2024)
Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
por: Lautier, Jackson P., et al.
Publicado: (2021)
por: Lautier, Jackson P., et al.
Publicado: (2021)
Gaussian mixtures closest to a given measure via optimal transport
por: Lasserre, Jean-Bernard
Publicado: (2024)
por: Lasserre, Jean-Bernard
Publicado: (2024)
An easily verifiable dispersion order for discrete distributions
por: Eberl, Andreas, et al.
Publicado: (2025)
por: Eberl, Andreas, et al.
Publicado: (2025)
Modeling discrete common-shock risks through matrix distributions
por: Bladt, Martin, et al.
Publicado: (2025)
por: Bladt, Martin, et al.
Publicado: (2025)
Gaussian mixtures and non-parametric likelihoods through the lens of statistical mechanics
por: Ghosh, Subhroshekhar, et al.
Publicado: (2026)
por: Ghosh, Subhroshekhar, et al.
Publicado: (2026)
Model non-collapse: Minimax bounds for recursive discrete distribution estimation
por: Kanabar, Millen, et al.
Publicado: (2025)
por: Kanabar, Millen, et al.
Publicado: (2025)
Ejemplares similares
-
On a surprising behavior of the likelihood ratio test in non-parametric mixture models
por: Zhang, Yan, et al.
Publicado: (2025) -
Fast computation and theoretical guarantees for the NPMLE in exponential family mixtures
por: Zhang, Yan
Publicado: (2026) -
Simultaneous hypothesis testing for comparing many functional means
por: Decker, Colin, et al.
Publicado: (2025) -
Universality of Benign Overfitting in Binary Linear Classification
por: Hashimoto, Ichiro, et al.
Publicado: (2025) -
The weak-feature-impact effect on the NPMLE in monotone binary regression
por: Kieffer, Dario, et al.
Publicado: (2025)