The geometry of mixture likelihoods, part II: The exponential family
From MaRDI portal
Publication:790553
DOI10.1214/aos/1176346245zbMath0534.62002OpenAlexW2045274607MaRDI QIDQ790553
Publication date: 1983
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1176346245
curvaturemaximum likelihood estimatorexponential familygeneral uniqueness theoremmixture likelihood set
Nonparametric estimation (62G05) Foundations and philosophical topics in statistics (62A01) Inequalities and extremum problems involving convexity in convex geometry (52A40) Surfaces in Euclidean and related spaces (53A05)
Related Items (64)
Semiparametric modelling of spatial binary observations ⋮ Semiparametric estimation of heterogeneous count data models ⋮ Mixed Hidden Markov Models for Longitudinal Data: An Overview ⋮ Bayesian and likelihood inference from equally weighted mixtures ⋮ The topography of multivariate normal mixtures ⋮ Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients ⋮ The dynamic effects of an earnings subsidy for long-term welfare recipients: evidence from the self sufficiency project applicant experiment ⋮ Modifications of the EM algorithm for survival influenced by an unobserved stochastic process ⋮ Equivalence of Truncated Count Mixture Distributions and Mixtures of Truncated Count Distributions ⋮ Can we recover information from concordant pairs in binary matched pairs? ⋮ Uniqueness of estimation and identifiability in mixture models ⋮ A review of reliable maximum likelihood algorithms for semiparametric mixture models ⋮ Multivariate survival models for repeated and correlated events ⋮ On the strong consistency of asymptotic \(M\)-estimators ⋮ Nonparametric control for residual heterogeneity in modelling recurrent behaviour ⋮ Consistency of maximum likelihood estimators for certain nonparametric families, in particular: Mixtures ⋮ Semiparametric mixture: continuous scale mixture approach ⋮ Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: a simulation study ⋮ Semiparametric multinomial mixed-effects models: a university students profiling tool ⋮ Semiparametric Bayesian inference for mean-covariance regression models ⋮ Almost sure uniqueness of a global minimum without convexity ⋮ Empitical bayes estimations for some distribution families ⋮ Diagnosing misspecification of the random‐effects distribution in mixed models ⋮ Nonparametric estimation of component distributions in a multivariate mixture ⋮ Random effect models for multivariate mixed data: A Parafac-based finite mixture approach ⋮ Density estimation for toroidal data using semiparametric mixtures ⋮ Density estimation for spherical data using nonparametric mixtures ⋮ Health and Income: Theory and Evidence for OECD Countries ⋮ On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising ⋮ Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures with Application to Single Cell Genomics ⋮ An approach to simple bargaining games and related problems ⋮ A new sufficient condition for identifiability of countably infinite mixtures ⋮ Correcting for covariate measurement error in logistic regression using nonparametric maximum likelihood estimation ⋮ Partially projected gradient algorithms for computing nonparametric maximum likelihood estimates of mixing distributions ⋮ Model-based Clustering of Sequential Data with an Application to Contraceptive Use Dynamics ⋮ Estimating the Species Accumulation Curve Using Mixtures ⋮ Estimating the number of components in a finite mixture model: the special case of homogeneity ⋮ Existence and consistency of maximum likelihood in upgraded mixture models ⋮ Heterogeneous demand responses to discrete price changes: an application to the purchase of lottery tickets ⋮ Robust inference for finite Poisson mixtures ⋮ Nonlinear nonparametric mixed-effects models for unsupervised classification ⋮ Euclidean distance matrix analysis (EDMA): Estimation of mean form and mean form difference ⋮ Two‐part regression models for longitudinal zero‐inflated count data ⋮ On nonparametric maximum likelihood for a class of stochastic inverse problems ⋮ Semiparametric estimation of a two-component mixture model ⋮ On constructing sequences estimating the mixing distribution with applications ⋮ Uniqueness of the maximum likelihood estimator for 𝑘-monotone densities ⋮ Handling endogeneity and nonnegativity in correlated random effects models: Evidence from ambulatory expenditure ⋮ Estimation of a Semiparametric Recursive Bivariate Probit Model with Nonparametric Mixing ⋮ CAMCR: Computer-assisted mixture model analysis for capture-recapture count data ⋮ Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities ⋮ Estimation of finite mixtures with symmetric components ⋮ Capture–Recapture Estimation by Means of Empirical Bayesian Smoothing with an Application to the Geographical Distribution of Hidden Scrapie in Great Britain ⋮ A two-part mixed-effects pattern-mixture model to handle zero-inflation and incompleteness in a longitudinal setting ⋮ Semiparametric empirical best prediction for small area estimation of unemployment indicators ⋮ Binomial mixtures: Geometric estimation of the mixing distribution ⋮ Estimation of the complexity of a finite mixture distribution: from well- to less known methods ⋮ Maximum penalized likelihood estimation of mixed proportional hazard models ⋮ Econometric duration analysis ⋮ Convergence of the EM algorithm for continuous mixing distributions ⋮ On mixtures of hazards: Nonparametric maximum likelihood in certain competing risk failure models ⋮ Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure ⋮ Speed of convergence for estimators of finite translation mixture distributions ⋮ Parameterizing mixture models with generalized moments
This page was built for publication: The geometry of mixture likelihoods, part II: The exponential family
