Nonparametric estimation of a latent variable model
From MaRDI portal
Publication:730430
DOI10.1016/j.jmva.2016.10.006zbMath1352.62057OpenAlexW2548383724MaRDI QIDQ730430
Michael Kohler, Adam Krzyżak, Augustin Kelava, Tim Fabian Schaffland
Publication date: 28 December 2016
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2016.10.006
Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Asymptotic properties of nonparametric inference (62G20)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Model-based classification using latent Gaussian mixture models
- Evaluating latent and observed factors in macroeconomics and finance
- Learning high-dimensional directed acyclic graphs with latent and selection variables
- Estimation of generalized linear latent variable models via fully exponential Laplace approximation
- Model-based clustering, classification, and discriminant analysis of data with mixed type
- Linear latent variable models and covariance structures
- ``Preconditioning for feature selection and regression in high-dimensional problems
- Latent class based multiple imputation approach for missing categorical data
- Identifiability of parameters in latent structure models with many observed variables
- Simulating multivariate nonnormal distributions
- Additive regression and other nonparametric models
- Exponential bounds of mean error for the nearest neighbor estimates of regression functions
- Distribution-free consistency results in nonparametric discrimination and regression function estimation
- More factors than subjects, tests and treatments: An indeterminacy theorem for canonical decomposition and individual differences scaling
- Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
- Consistent nonparametric regression. Discussion
- A practical guide to splines
- An equivalence theorem for \(L_ 1\) convergence of the kernel regression estimate
- On the asymptotic normality of the \(L_2\)-error in partitioning regression estimation
- Simulated latent variable estimation of models with ordered categorical data
- The use of polynomial splines and their tensor products in multivariate function estimation. (With discussion)
- On the strong universal consistency of nearest neighbor regression function estimates
- A distribution-free theory of nonparametric regression
- Robust and consistent estimation of nonlinear errors-in-variables models
- Noisy independent factor analysis model for density estimation and classification
- Maximum likelihood estimation of latent interaction effects with the LMS method
- Generalized Linear Latent Variable Models with Flexible Distribution of Latent Variables
- Likelihood Inference for a Class of Latent Markov Models under Linear Hypotheses on the Transition Probabilities
- Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes
- Necessary and sufficient conditions for the pointwise convergence of nearest neighbor regression function estimates
- Local Properties of k-NN Regression Estimates
- Latent Variable Analysis of Multivariate Spatial Data
- Using Principal Component Analysis and Correspondence Analysis for Estimation in Latent Variable Models
- Nonparametric regression estimation using penalized least squares
- Nonparametric estimation via empirical risk minimization
- Goodness of Fit for Generalized Linear Latent Variables Models
- The independent factor analysis approach to latent variable modelling
- Determining the Number of Factors in Approximate Factor Models
- Remarks on Non-Parametric Estimates for Density Functions and Regression Curves
