Numerical method for estimating multivariate conditional distributions

DOI10.1007/BF02736128zbMath1091.62048MaRDI QIDQ2488388

Eric A. Stützele, Tomas Hrycej

Publication date: 24 May 2006

Published in: Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

global optimizationneural networksregression

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from stochastic processes and prediction (62M20) Estimation in multivariate analysis (62H12) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

• Generalized autoregressive conditional heteroscedasticity
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Stochastic global optimization methods part II: Multi level methods
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• Reliable Delaunay‐based mesh generation and mesh improvement
• IV.—On Least Squares and Linear Combination of Observations
• On Estimation of a Probability Density Function and Mode
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