Cover Image

Diagonally-Weighted Generalized Method of Moments Estimation for Gaussian Mixture Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Liu, Mickelin, Oscar, Xu, Sheng, Singer, Amit
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Numerical Analysis Statistics Theory Methodology 62F12, 62H30, 15A69, 65Y20
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

High-Performance Variance-Covariance Matrix Construction Using an Uncentered Gram Formulation
by: Reichel, Felix
Published: (2025)

Parameter estimation for partially observed second-order diffusion processes
by: Albrecht, Jan, et al.
Published: (2024)

Asymptotics for non-degenerate multivariate $U$-statistics with estimated nuisance parameters under the null and local alternative hypotheses
by: Desgagné, Alain, et al.
Published: (2024)

Omnibus goodness-of-fit tests for univariate continuous distributions based on trigonometric moments
by: Desgagné, Alain, et al.
Published: (2025)

Parameter Estimation in Nonlinear Multivariate Stochastic Differential Equations Based on Splitting Schemes
by: Pilipovic, Predrag, et al.
Published: (2022)

Bayesian Cluster Weighted Gaussian Models
by: Papastamoulis, Panagiotis, et al.
Published: (2024)

Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
by: Kim, Seongmin, et al.
Published: (2025)

Finite mixture representations of zero-and-$N$-inflated distributions for count-compositional data
by: Menezes, André F. B., et al.
Published: (2025)

Estimating Gaussian mixtures using sparse polynomial moment systems
by: Lindberg, Julia, et al.
Published: (2021)

A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
by: Aich, Agnideep, et al.
Published: (2025)

Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022)

Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
by: Hejný, Ivan, et al.
Published: (2026)

Misspecified Maximum Likelihood Estimation for Non-Uniform Group Orbit Recovery
by: Xu, Sheng, et al.
Published: (2025)

Inference in high-dimensional logistic regression under tensor network dependence
by: Miles, Josh, et al.
Published: (2026)

Subspace decompositions for association structure learning in multivariate categorical response regression
by: Zhao, Hongru, et al.
Published: (2024)

Robust low-rank tensor regression via clipping and Huber loss
by: Li, Kangqiang, et al.
Published: (2022)

On the spherical Laplace distribution
by: You, Kisung, et al.
Published: (2022)

Bayesian Mixtures Models with Repulsive and Attractive Atoms
by: Beraha, Mario, et al.
Published: (2023)

KRAFTY: Khatri-Rao Framework for Joint Cluster Recovery
by: Gao, Siyi, et al.
Published: (2026)

Multiple Imputation Methods under Extreme Values
by: Brasil, Enzo Porto
Published: (2026)

A Matsuoka-Based GARMA Model for Hydrological Forecasting: Theory, Estimation, and Applications
by: Pumi, Guilherme, et al.
Published: (2025)

Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes
by: Lee, Kwangmin, et al.
Published: (2024)

A Novel Multiple Imputation Approach For Parameter Estimation in Observation-Driven Time Series Models With Missing Data
by: Pumi, Guilherme, et al.
Published: (2026)

Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
by: Dai, Chi-Shian, et al.
Published: (2026)

Model Error Embedding with Orthogonal Gaussian Processes
by: Kuppa, Mridula, et al.
Published: (2026)

Minimum $Φ$-distance estimators for finite mixing measures
by: Wei, Yun, et al.
Published: (2023)

Information criteria for the number of directions of extremes in high-dimensional data
by: Butsch, Lucas, et al.
Published: (2024)

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
by: Rodeschini, Jacopo, et al.
Published: (2025)

Binary Regression and Classification with Covariates in Metric Spaces
by: Lin, Yinan, et al.
Published: (2023)

Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)

On the spherical cardioid distribution and its goodness-of-fit
by: García-Portugués, Eduardo
Published: (2026)

Shrinkage estimators in zero-inflated Bell regression model with application
by: Seifollahi, Solmaz, et al.
Published: (2024)

Laplace Variational Inference for Bayesian Envelope Models
by: Kim, Seunghyeon, et al.
Published: (2026)

Asynchronous Distributed ECME Algorithm for Matrix Variate Non-Gaussian Responses
by: Liu, Qingyang, et al.
Published: (2025)

Physical Parameter Calibration
by: Li, Yang, et al.
Published: (2022)

Graphical lasso for extremes
by: Wan, Phyllis, et al.
Published: (2023)

Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions
by: van der Spek, Rutger, et al.
Published: (2022)

Shiha Distribution: Statistical Properties and Applications to Reliability Engineering and Environmental Data
by: Shiha, F. A.
Published: (2026)

Tensor Neyman-Pearson Classification: Theory, Algorithms, and Error Control
by: Liu, Lingchong, et al.
Published: (2025)

Coverage correlation: detecting singular dependencies between random variables
by: Yang, Xuzhi, et al.
Published: (2025)