scientific article; zbMATH DE number 7387191
From MaRDI portal
Publication:5011284
DOI10.11329/jjssj.44.451MaRDI QIDQ5011284
Katsumi Shimotsu, Hiroyuki Kasahara
Publication date: 27 August 2021
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cites Work
- Unnamed Item
- Unnamed Item
- Generalized reduced rank tests using the singular value decomposition
- Nonnegative ranks, decompositions, and factorizations of nonnegative matrices
- Determinantal methods in latent class analysis
- Identifiability of parameters in latent structure models with many observed variables
- On estimating the number of constituents of a finite mixture of continuous distributions
- Consistent estimation of a mixing distribution
- 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
- Modified Wald tests under nonregular conditions
- Nonparametric estimation of component distributions in a multivariate mixture
- Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
- Consistent estimation of mixture complexity.
- Nonnegative rank factorization -- a heuristic approach via rank reduction
- On estimation of parameters in latent structure analysis
- Maximum smoothed likelihood for multivariate mixtures
- Conditional Choice Probabilities and the Estimation of Dynamic Models
- A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
- Robust Estimation of Mixture Complexity
- Semiparametric Mixture Models and Repeated Measures: The Multinomial Cut Point Model
- Sequential Estimation of Dynamic Discrete Games
- Nonparametric inference in multivariate mixtures
- Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices
- Residual Diagnostics for Mixture Models
- A Graphical Technique for Determining the Number of Components in a Mixture of Normals
- TESTS OF RANK
- Penalized minimum‐distance estimates in finite mixture models
- Estimating the Parameters of Mixtures of Binomial Distributions
- Testing the Number of Components in Normal Mixture Regression Models
- Bandwidth Selection in an EM-Like Algorithm for Nonparametric Multivariate Mixtures
- Uncertainty and Learning in Pharmaceutical Demand
- Identifying Dynamic Discrete Decision Processes
- Swapping the Nested Fixed Point Algorithm: A Class of Estimators for Discrete Markov Decision Models
- Non-Parametric Identification and Estimation of the Number of Components in Multivariate Mixtures
This page was built for publication:
