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Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach

https://doi.org/10.1214/14-ejs939
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471721182openalex-snapshot
Finite Mixture Models
inferredcites →https://doi.org/10.1007/978-1-4471-2097-1_113openalex-snapshot
Hierarchical Mixtures of Experts and the EM Algorithm
inferredcites →https://doi.org/10.1007/978-1-4757-2545-2_3openalex-snapshot
Weak Convergence
inferredcites →https://doi.org/10.1007/s00440-006-0011-8openalex-snapshot
Minimal Penalties for Gaussian Model Selection
inferredcites →https://doi.org/10.1007/s11222-011-9236-1openalex-snapshot
Slope heuristics: overview and implementation
inferredcites →https://doi.org/10.1007/s11222-012-9369-xopenalex-snapshot
Mixtures of regressions with changepoints
inferredcites →https://doi.org/10.1016/0031-3203(94)00125-6openalex-snapshot
Gaussian parsimonious clustering models
inferredcites →https://doi.org/10.1016/j.csda.2010.04.002openalex-snapshot
Mixtures of regressions with predictor-dependent mixing proportions
inferredcites →https://doi.org/10.1016/j.neucom.2009.12.023openalex-snapshot
A hidden process regression model for functional data description. Application to curve discrimination
inferredcites →https://doi.org/10.1016/s0893-6080(00)00045-9openalex-snapshot
Consistency of posterior distributions for neural networks
inferredcites →https://doi.org/10.1023/a:1020779827503openalex-snapshot
Modeling with Mixtures of Linear Regressions
inferredcites →https://doi.org/10.1051/ps/2009004openalex-snapshot
A non asymptotic penalized criterion for Gaussian mixture model selection
inferredcites →https://doi.org/10.1051/ps/2012017openalex-snapshot
Partition-based conditional density estimation
inferredcites →https://doi.org/10.1080/01621459.2012.682541openalex-snapshot
Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
inferredcites →https://doi.org/10.1080/01621459.2013.772897openalex-snapshot
Nonparametric Mixture of Regression Models
inferredcites →https://doi.org/10.1080/10485250802018303openalex-snapshot
Convergence of posterior distribution in the mixture of regressions
inferredcites →https://doi.org/10.1080/10485252.2011.608430openalex-snapshot
Semiparametric mixtures of regressions
inferredcites →https://doi.org/10.1090/s0002-9947-2013-06041-2openalex-snapshot
The local geometry of finite mixtures
inferredcites →https://doi.org/10.1109/itw.2008.4578660openalex-snapshot
MDL, penalized likelihood, and statistical risk
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1162/089976606774841594openalex-snapshot
On Consistency of Bayesian Inference with Mixtures of Logistic Regression
inferredcites →https://doi.org/10.1198/016214505000000385openalex-snapshot
Multiscale, Multigranular Statistical Image Segmentation
inferredcites →https://doi.org/10.1198/jcgs.2009.0013openalex-snapshot
A Multiscale Approach for Statistical Characterization of Functional Images
inferredcites →https://doi.org/10.1214/11-aos961openalex-snapshot
Kullback–Leibler aggregation and misspecified generalized linear models
inferredcites →https://doi.org/10.1214/aos/1015956709openalex-snapshot
Rates of convergence for the Gaussian mixture sieve
inferredcites →https://doi.org/10.4271/810345openalex-snapshot
Ethanol Fuel-A Single-Cylinder Engine Study of Efficiency and Exhaust Emissions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
inferred← citeshttps://doi.org/10.1002/widm.1246openalex-snapshot
Practical and theoretical aspects of mixture‐of‐experts modeling: An overview
inferred← citeshttps://doi.org/10.1007/978-3-319-99389-8_2openalex-snapshot
A Selective Overview of Semiparametric Mixture of Regression Models
inferred← citeshttps://doi.org/10.1007/978-981-99-8391-9_19openalex-snapshot
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection
inferred← citeshttps://doi.org/10.1007/s00180-022-01232-5openalex-snapshot
Predictors with measurement error in mixtures of polynomial regressions
inferred← citeshttps://doi.org/10.1007/s11222-023-10379-0openalex-snapshot
Functional mixtures-of-experts
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.08.014openalex-snapshot
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model
inferred← citeshttps://doi.org/10.1080/10485252.2024.2426091openalex-snapshot
Bayesian nonparametric mixture of experts for inverse problems
inferred← citeshttps://doi.org/10.1109/isit57864.2024.10619327openalex-snapshot
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning
inferred← citeshttps://doi.org/10.1186/s40488-021-00125-0openalex-snapshot
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
inferred← citeshttps://doi.org/10.1214/19-sts698openalex-snapshot
An Overview of Semiparametric Extensions of Finite Mixture Models
inferred← citeshttps://doi.org/10.1214/22-ejs2057openalex-snapshot
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
inferred← citeshttps://doi.org/10.3150/15-bej760openalex-snapshot
Semiparametric topographical mixture models with symmetric errors
inferred← citeshttps://doi.org/10.3390/diagnostics12123072openalex-snapshot
DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma Segmentation
inferred← citeshttps://doi.org/10.36227/techrxiv.19089995openalex-snapshot
Spectral image clustering on dual-energy CT scans using functional regression mixtures
inferred← citeshttps://doi.org/10.36227/techrxiv.19089995.v1openalex-snapshot
Spectral image clustering on dual-energy CT scans using functional regression mixtures
inferred← citeshttps://doi.org/10.48550/arxiv.1704.00946openalex-snapshot
Approximation results regarding the multiple-output mixture of linear experts model
inferred← citeshttps://doi.org/10.48550/arxiv.1707.03538openalex-snapshot
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling
inferred← citeshttps://doi.org/10.48550/arxiv.1709.02294openalex-snapshot
Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors
inferred← citeshttps://doi.org/10.70675/686a9d56ze675z4d9bz849dz0ad00443d32eopenalex-snapshot
Μοdel selectiοn and apprοximatiοn in high-dimensiοnal mixtures οf experts mοdels : from theory to practice
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