Back to Results
First PageMeta Content
Control theory / Stochastic differential equations / Kalman filter / Robot control / Q / Normal distribution / Markov chain / Linear model / Fixed effects model / Statistics / Markov models / Regression analysis


doi: j.1365-246Xx A new approach to time-dependent inversion of geodetic data using a Monte Carlo mixture Kalman filter Jun’ichi Fukuda,1 Tomoyuki Higuchi,2 Shin’ichi Miyazaki1 and Teruyuki Kato1
Add to Reading List

Document Date: 2004-09-16 20:37:56

Open Document

File Size: 364,35 KB

Share Result on Facebook

City

Tokyo / /

Company

NIF / /

Country

Japan / /

/

Event

Natural Disaster / /

Facility

GPS station / The Research Institute / University of Tokyo / Institute of Statistical Mathematics / /

IndustryTerm

smoother algorithm / state vector algorithm / analysis software / /

NaturalFeature

Bungo Channel / /

OperatingSystem

L3 / /

Organization

Research Institute / University of Tokyo / Institute of Statistical Mathematics / /

Product

Kalman / Bayes / Monte Carlo / Markovian / /

ProgrammingLanguage

L / /

ProvinceOrState

Nebraska / /

Region

southwest Japan / central Japan / /

Technology

geophysics / filtering algorithm / following algorithm / resampling algorithm / filtering algorithms / GPS / storing state vector algorithm / MCMKF filtering algorithm / MCMKF algorithm / /

SocialTag