Amanote Research

Amanote Research

    RegisterSign In

Analysis of Multimodal Bayesian Nonparametric Autoregressive Hidden Markov Models for Process Monitoring in Robotic Contact Tasks

International Journal of Advanced Robotic Systems
doi 10.1177/1729881419834840
Full Text
Open PDF
Abstract

Available in full text

Date

March 1, 2019

Authors
Hongmin WuYisheng GuanJuan Rojas
Publisher

SAGE Publications


Related search

Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models

1991English

On Nonergodicity for Nonparametric Autoregressive Models

Advances in Difference Equations
Applied MathematicsNumber TheoryAnalysisAlgebra
2013English

The Use of Hidden Semi-Markov Models in Clinical Diagnosis Maze Tasks

Intelligent Data Analysis
Computer VisionPattern RecognitionArtificial IntelligenceTheoretical Computer Science
2009English

Hidden Markov Models for Optical Flow Analysis in Crowds

2006English

Bayesian Nonparametric Models

English

Hidden Semi-Markov Models

English

Nonparametric Bayesian Models for a Spatial Covariance

Statistical Methodology
StatisticsProbability
2012English

Minimal Realization Problems for Hidden Markov Models

IEEE Transactions on Signal Processing
Electronic EngineeringSignal ProcessingElectrical
2016English

Hidden Markov Models: The Best Models for Forager Movements?

PLoS ONE
Multidisciplinary
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy