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Separable factor analysis with applications to mortality data

https://doi.org/10.1214/13-aoas694
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What this work says

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

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Towards a standardized notation and terminology in multiway analysis
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Parameters of mortality in human populations with widely varying life spans
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Some Mathematical Notes on Three-Mode Factor Analysis
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Some Contributions to Maximum Likelihood Factor Analysis
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A Newton-Raphson Algorithm for Maximum Likelihood Factor Analysis
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EM Algorithms for ML Factor Analysis
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An eight-parameter model of human mortality—The single decrement case
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Mortality risk assessment through stationary space–time covariance functions
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ML estimation for factor analysis: EM or non-EM?
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Modeling and forecasting US sex differentials in mortality
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Regional Model Life Tables and Stable Populations
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Maximum likelihood estimation for the tensor normal distribution: Algorithm, minimum sample size, and empirical bias and dispersion
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Maximum likelihood factor analysis with rank-deficient sample covariance matrices
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Longevity studies based on kernel hazard estimation
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On the forecasting of mortality reduction factors
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Lee–Carter mortality forecasting with age-specific enhancement
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The age pattern of mortality
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VI.—The Estimation of Factor Loadings by the Method of Maximum Likelihood
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The Modelling of Recent Mortality Trends in United Kingdom Male Assured Lives
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Modified logit life table system: principles, empirical validation, and application
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A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion
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Some Matrix-Variate Distribution Theory: Notational Considerations and a Bayesian Application
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Maximum Likelihood Estimation via the ECM Algorithm: A General Framework
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Bayesian analysis of matrix normal graphical models
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Sparse Bayesian infinite factor models
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Measuring the Pricing Error of the Arbitrage Pricing Theory
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Lee–Carter Mortality Forecasting: A Parallel Generalized Linear Modelling Approach for England and Wales Mortality Projections
inferredcites →https://doi.org/10.1111/j.1467-985x.2009.00614_12.xopenalex-snapshot
Applied Multiway Data Analysis
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The decomposition of multitrait‐multimethod matrices
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Tensor Decompositions and Applications
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A Multilinear Singular Value Decomposition
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Smoothing and forecasting mortality rates
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Space–Time Covariance Functions
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High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
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Monte Carlo Computation of the Fisher Information Matrix in Nonstandard Settings
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Modeling Hazard Rates as Functional Data for the Analysis of Cohort Lifetables and Mortality Forecasting
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Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data
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Horseshoes in multidimensional scaling and local kernel methods
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Transposable regularized covariance models with an application to missing data imputation
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Separable covariance arrays via the Tucker product, with applications to multivariate relational data
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Bayesian Graphical Lasso Models and Efficient Posterior Computation
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Stochastic three‐mode models for mean and covariance structures
inferredcites →https://doi.org/10.1353/dem.2005.0021openalex-snapshot
Coherent mortality forecasts for a group of populations: An extension of the lee-carter method
inferredcites →https://doi.org/10.2307/1401642openalex-snapshot
Regional Model Life Tables and Stable Populations
inferredcites →https://doi.org/10.2307/1412107openalex-snapshot
"General Intelligence," Objectively Determined and Measured
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Maximum Likelihood Estimation of Misspecified Models
inferredcites →https://doi.org/10.2307/2061263openalex-snapshot
Forecasting Mortality: A Parameterized Time Series Approach
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Multivariate Analysis
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Statistical Graduation in Local Demographic Analysis and Projection
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Regional Model Life Tables and Stable Populations.
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Bayesian Selection on the Number of Factors in a Factor Analysis Model

What points at this work

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

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