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Modelling nonlinear count time series with local mixtures of Poisson autoregressions

https://doi.org/10.1016/j.csda.2006.09.032
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What this work says

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

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A latent class mixed model for analysing biomarker trajectories with irregularly scheduled observations
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Modeling nonlinear time series with local mixtures of generalized linear models
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Generalized Linear Models
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Information Theory and an Extension of the Maximum Likelihood Principle
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Advanced econometrics
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Likelihood of a model and information criteria
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Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds
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On the identifiability of mixtures-of-experts
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Application of the Mixtures of Experts algorithm for signal processing in a noninvasive glucose monitoring system
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Forecasting Economic Time Series
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Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition
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On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models
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Mixture of experts for classification of gender, ethnic origin, and pose of human faces
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Mixtures-of-Experts of Autoregressive Time Series: Asymptotic Normality and Model Specification
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Forecasting Economic Time Series
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FIRST‐ORDER INTEGER‐VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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A Note on the Aitkin-Rubin Approach to Hypothesis Testing in Mixture Models
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NONLINEAR GATED EXPERTS FOR TIME SERIES: DISCOVERING REGIMES AND AVOIDING OVERFITTING
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On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models
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Mixtures of Probabilistic Principal Component Analyzers
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Adaptive Mixtures of Local Experts
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Hierarchical Mixtures of Experts and the EM Algorithm
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Stochastic Neural Networks With Applications to Nonlinear Time Series
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Asymptotic Theory for Econometricians
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Discussion
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Hierarchical mixtures-of-experts for exponential family regression models: approximation and maximum likelihood estimation
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Estimating the Dimension of a Model
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Theory of Partial Likelihood
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Generalized Linear Models
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What points at this work

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

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Stationary Time Series Models
inferred← citeshttps://doi.org/10.1002/9781119954231.ch8openalex-snapshot
Multivariate and Nonstationary Time Series Models
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Mixture of Experts Modelling with Social Science Applications
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Practical and theoretical aspects of mixture‐of‐experts modeling: An overview
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Predictive Modeling of Mining Laboratory Effluent Contamination Using LSTM-Attention Networks: A Case Study from the Haut-Katanga Copperbelt
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PM-Seq: Using Finite Poisson Mixture Models for RNA-Seq Data Analysis and Transcript Expression Level Quantification
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Autoregressive Models with Mixture of Scale Mixtures of Gaussian Innovations
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User behavior detection framework based on NBP for energy efficiency
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Advances in Mixture Models
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Infinite Bayesian one-class support vector machine based on Dirichlet process mixture clustering
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A review of novelty detection
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Model-Based Clustering and Classification for Data Science
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Preface
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Introduction
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Model-based Clustering: Basic Ideas
inferred← citeshttps://doi.org/10.1017/9781108644181.004openalex-snapshot
Dealing with Difficulties
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Model-based Classification
inferred← citeshttps://doi.org/10.1017/9781108644181.006openalex-snapshot
Semi-supervised Clustering and Classification
inferred← citeshttps://doi.org/10.1017/9781108644181.007openalex-snapshot
Discrete Data Clustering
inferred← citeshttps://doi.org/10.1017/9781108644181.008openalex-snapshot
Variable Selection
inferred← citeshttps://doi.org/10.1017/9781108644181.009openalex-snapshot
High-dimensional Data
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Non-Gaussian Model-based Clustering
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Network Data
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Model-based Clustering with Covariates
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Other Topics
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Bibliography
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Author Index
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Subject Index
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Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.
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Hierarchical mixture-of-experts models for count variables with excessive zeros
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Mixtures of Nonlinear Poisson Autoregressions
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Modeling nonlinearities with mixtures‐of‐experts of time series models
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Bayesian Mixtures of Autoregressive Models
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A Hybrid Clustering Approach Based on Fuzzy Logic and Evolutionary Computation for Anomaly Detection
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Adaptive Max-Margin One-Class Classifier for SAR Target Discrimination in Complex Scenes
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Convergence Rates for Mixture-of-Experts
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An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling
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Multivariate Computing and Robust Estimating for Outlier and Novelty in Data and Imaging Sciences
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Data driven methods for updating fault detection and diagnosis system in chemical processes
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