Switching Markov Gaussian Models for Dynamic Power System Inertia Estimation

IEEE Transactions on Power Systems - United States
doi 10.1109/tpwrs.2015.2501458
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Identification and Estimation of Gaussian Affine Term Structure Models With Regime Switching

Journal of Mathematical Finance
2014English

Mixed State Estimation for a Linear Gaussian Markov Model

2008English

Interweaving Markov Chain Monte Carlo Strategies for Efficient Estimation of Dynamic Linear Models

Journal of Computational and Graphical Statistics
CombinatoricsUncertaintyStatisticsProbabilityDiscrete Mathematics
2017English

Bayesian Markov Switching Stochastic Correlation Models

SSRN Electronic Journal
2013English

Time-Varying Transition Probabilities for Markov Regime Switching Models

Journal of Time Series Analysis
UncertaintyApplied MathematicsStatisticsProbability
2016English

Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Improving Markov Switching Models Using Realized Variance

Journal of Applied Econometrics
EconomicsEconometricsSocial Sciences
2017English

Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models

1991English

Methods for Inference in Large Multiple-Equation Markov-Switching Models

Journal of Econometrics
Philosophy of ScienceApplied MathematicsEconomicsEconometricsHistory
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy