The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family

No abstract is available for this paper.

• Publication year

  1994

• Venue

  Annals of the Institute of Statistical Mathematics

• Publication date

  1994-06-01

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1007/BF01720593
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On the Convergence of the Em Algorithm

  1993cited by this paper
• An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution

  1992cited by this paper
• Testing in normal mixture models when the proportions are known

  1992cited by this paper
• Computer-assisted analysis of mixtures (C.A.MAN) statistical algorithms

  1992cited by this paper
• The likelihood ratio test for the two-component normal mixture problem: power and sample size analysis.

  1991cited by this paper
• A statistical method for evaluating suicide clusters and implementing cluster surveillance.

  1990influential reference
• Mixture models : inference and applications to clustering

  1989cited by this paper
• Likelihood inference for mixtures: Geometrical and other constructions of monotone step-length algorithms

  1989cited by this paper
• A fast improvement to the EM algorithm on its own terms

  1989cited by this paper
• Simulated percentage points for the null distribution of the likelihood ratio test for a mixture of two normals.

  1988cited by this paper
• Maximum likelihood computations with repeated measures: application of the EM algorithm

  1987cited by this paper
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions

  1987cited by this paper
• Statistical analysis of finite mixture distributions

  1986cited by this paper
• Maximum Likelihood Estimation for Mixtures of Distributions

  1984cited by this paper
• ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM

  1983cited by this paper
• The Geometry of Mixture Likelihoods: A General Theory

  1983cited by this paper
• Convergence of Simar's Algorithm for Finding the Maximum Likelihood Estimate of a Compound Poisson Process

  1982influential reference
• Finding the Observed Information Matrix When Using the EM Algorithm

  1982cited by this paper
• Numerical techniques for estimating probabilities

  1982cited by this paper
• Asymptotic Properties of Maximum Likelihood Estimators Based on Conditional Specification

  1979cited by this paper

• Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions

  2025cites this paper
• Parsimonious Ultrametric Manly Mixture Models

  2025cites this paper
• Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates

  2025cites this paper
• Parsimonious ultrametric Gaussian mixture models

  2024cites this paper
• The orthogonal skew model: computationally efficient multivariate skew-normal and skew-t distributions with applications to model-based clustering

  2024cites this paper
• The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering

  2024cites this paper
• Cellwise Outlier Detection in Heterogeneous Populations

  2024cites this paper
• Mixtures of logistic normal multinomial regression models for microbiome data

  2024cites this paper
• On repeated diagnostic testing in screening for a medical condition: How often should the diagnostic test be repeated?

  2024cites this paper
• Studying Hierarchical Latent Structures in Heterogeneous Populations with Missing Information

  2024influential citation
• Unsupervised Classification with a Family of Parsimonious Contaminated Shifted Asymmetric Laplace Mixtures

  2024cites this paper
• Clustering Matrix Variate Longitudinal Count Data

  2023cites this paper
• Finite mixtures of multivariate Poisson-log normal factor analyzers for clustering count data

  2023cites this paper
• Estimation of Gaussian Bi-Clusters with General Block-Diagonal Covariance Matrix and Applications

  2023cites this paper
• A mixture model application in monitoring error message rates for a distributed industrial fleet

  2022cites this paper
• Estimation of the Complexity of a Finite Mixture Distribution: From Well- to Less Known Methods

  2022cites this paper
• Clustering Spatially Correlated Functional Data With Multiple Scalar Covariates

  2022cites this paper
• Factor and hybrid components for model-based clustering

  2022cites this paper
• Estimation of Gaussian Mixture Networks

  2022cites this paper
• Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data

  2022influential citation
• Revitalizing the multivariate elliptical leptokurtic-normal distribution and its application in model-based clustering

  2022cites this paper
• Model-based clustering and outlier detection with missing data

  2022cites this paper
• Model-based clustering of partial records

  2021cites this paper
• Model-independent detection of new physics signals using interpretable SemiSupervised classifier tests

  2021cites this paper
• Fast model‐based clustering of partial records

  2021cites this paper
• Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data

  2021cites this paper
• A partial EM algorithm for model‐based clustering with highly diverse missing data patterns

  2021cites this paper
• Copula Averaging for Tail Dependence in Insurance Claims Data

  2021cites this paper
• Four Skewed Tensor Distributions

  2021cites this paper
• Robust clustering of multiply censored data via mixtures of t factor analyzers

  2021cites this paper
• Model-Based Clustering

  2020cites this paper
• Clustering microbiome data using mixtures of logistic normal multinomial models

  2020cites this paper
• A family of parsimonious mixtures of multivariate Poisson‐lognormal distributions for clustering multivariate count data

  2020cites this paper
• A parsimonious family of multivariate Poisson-lognormal distributions for clustering multivariate count data

  2020cites this paper
• A family of mixture models for biclustering

  2020cites this paper
• Modeling right-skewed financial data streams: A likelihood inference based on the generalized Birnbaum-Saunders mixture model

  2020cites this paper
• A robust class of multivariate fatigue distributions based on normal mean-variance mixture model

  2020cites this paper
• Mixture Modeling Using the Multivariate Restricted Skew-Normal Scale Mixture of Birnbaum–Saunders Distributions

  2020cites this paper
• A theoretical framework for Landsat data modeling based on the matrix variate mean-mixture of normal model

  2020cites this paper
• An overview of goodness-of-fit tests for the Poisson distribution

  2020cites this paper
• Mixtures of multivariate contaminated normal regression models

  2020cites this paper
• Mixture Modeling Using the Multivariate Restricted Skew-Normal Scale Mixture of Birnbaum–Saunders Distributions

  2020cites this paper
• Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions

  2019cites this paper
• Anomaly and Novelty detection for robust semi-supervised learning

  2019cites this paper
• A robust approach to model-based classification based on trimming and constraints

  2019cites this paper
• Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers

  2019cites this paper
• Linear regression models using finite mixtures of skew heavy-tailed distributions

  2019cites this paper
• Clustering longitudinal life‐course sequences using mixtures of exponential‐distance models

  2019cites this paper
• PUBLISHED VERSION

  2019cites this paper
• Bivariate Gamma Mixture of Experts Models for Joint Insurance Claims Modeling.

  2019cites this paper
• Clustering Higher Order Data: Finite Mixtures of Multidimensional Arrays

  2019cites this paper
• An Expansive View of EM Algorithms

  2019cites this paper
• Normal mean-variance Lindley Birnbaum–Saunders distribution

  2019cites this paper
• A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets

  2019cites this paper
• Clustering Longitudinal Life-Course Sequences Using Mixtures of Exponential-Distance Models

  2019cites this paper
• Finite mixtures for the modelling of heterogeneity in ordinal response

  2019cites this paper
• A review of the Expectation Maximization algorithm in data-driven process identification

  2019cites this paper
• Clustering discrete-valued time series

  2019cites this paper
• Clustering and semi‐supervised classification for clickstream data via mixture models

  2018cites this paper
• Mixtures of skewed matrix variate bilinear factor analyzers

  2018cites this paper
• Subspace clustering for the finite mixture of generalized hyperbolic distributions

  2018cites this paper
• Joint estimation of conditional quantiles in multivariate linear regression models with an application to financial distress

  2018cites this paper
• Finite mixtures of matrix variate Poisson-log normal distributions for three-way count data

  2018cites this paper
• Robust Updating Classification Rule with applications in Food Authenticity Studies

  2018cites this paper
• Disentangling and assessing uncertainties in multiperiod corporate default risk predictions

  2018cites this paper
• Multiple scaled contaminated normal distribution and its application in clustering

  2018cites this paper
• Robust Model-Based Clustering of Voting Records

  2018cites this paper
• teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution

  2018cites this paper
• A Latent Gaussian Mixture Model for Clustering Longitudinal Data

  2018cites this paper
• Capture-recapture estimation and modelling for one-inflated count data

  2018cites this paper
• Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio

  2018influential citation
• Multivariate normal mean-variance mixture distribution based on Lindley distribution

  2018cites this paper
• flexCWM: A Flexible Framework for Cluster-Weighted Models

  2018cites this paper
• A general class of scale-shape mixtures of skew-normal distributions: properties and estimation

  2017cites this paper
• Mixture models for mixed-type data through a composite likelihood approach

  2017cites this paper
• Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model

  2017cites this paper
• Two-way learning with one-way supervision for gene expression data

  2017cites this paper
• Mixtures of multivariate contaminated normal regression models

  2017cites this paper
• Statistical Methods For Biomarker Threshold Models in Clinical Trials

  2017cites this paper
• Extending Growth Mixture Models Using Continuous Non-Elliptical Distributions

  2017cites this paper
• The multivariate leptokurtic‐normal distribution and its application in model‐based clustering

  2017cites this paper
• Title Model-Based clustering of microarray expression data vialatent Gaussian mixture models

  2017influential citation
• A Mixture of Variance-Gamma Factor Analyzers

  2017cites this paper
• Merging Student's-t and Rayleigh distributions regression mixture model for clustering time-series

  2017cites this paper
• A new look at the inverse Gaussian distribution with applications to insurance and economic data

  2017cites this paper
• A matrix variate skew‐t distribution

  2017cites this paper
• Clustering Airbnb Reviews

  2017influential citation
• Finite Mixture of Birnbaum–Saunders Distributions Using the k-Bumps Algorithm

  2017cites this paper
• Parsimonious Model-Based Clustering with Covariates

  2017cites this paper
• Gaussian parsimonious clustering models with covariates and a noise component

  2017cites this paper
• Flexible High-Dimensional Unsupervised Learning with Missing Data

  2017cites this paper
• A Mixture of Matrix Variate Bilinear Factor Analyzers

  2017cites this paper
• Mixtures of generalized hyperbolic distributions and mixtures of skew-t distributions for model-based clustering with incomplete data

  2017cites this paper
• On the Finite Mixture Modelling via Normal Mean-variance Birnbaum-Saunders Distribution

  2017cites this paper
• An association test based on the mixture of zero-inflated Poisson regression models for detecting differential microbial abundance in case-control studies

  2017influential citation
• A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes

  2017cites this paper
• Mixture models for ordinal responses to account for uncertainty of choice

  2017cites this paper
• Three skewed matrix variate distributions

  2017cites this paper
• Nonlinear regression models based on the normal mean–variance mixture of Birnbaum–Saunders distribution

  2017cites this paper
• A general class of scale-shape mixtures of skew-normal distributions: properties and estimation

  2016cites this paper