Identifiability of Modified Power Series Mixtures via Posterior Means

Journal of Multivariate Analysis - United States
doi 10.1006/jmva.2000.1932
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

A Note on the Identifiability of Nonparametric and Semiparametric Mixtures of GLMs

Statistics and Probability Letters
UncertaintyStatisticsProbability
2014English

Performance Evaluation of Polling Systems by Means of the Power-Series Algorithm

Annals of Operations Research
Management ScienceDecision SciencesOperations Research
1992English

Identifiability of Population Models via a Measure Theoretical Approach

IFAC Proceedings Volumes
2014English

Analysis of Multiple-Server Polling Systems by Means of the Power-Series Algorithm

Communications in Statistics. Stochastic Models
1997English

A Note on the Identifiability of the Conditional Expectation for the Mixtures of Neural Networks

Statistics and Probability Letters
UncertaintyStatisticsProbability
2008English

Asymptotic Behavior of Power Means

Mathematical Inequalities and Applications
MathematicsApplied Mathematics
2016English

Optimal Tracking Control Design of Quantum Systems via Tensor Formal Power Series Method

The Open Automation and Control Systems Journal
2008English

PARALIND-based Identifiability Results for Parameter Estimation via Uniform Linear Array

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2012English

Formal Power Series

Pacific Journal of Mathematics
Mathematics
1963English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy