Estimating Continous-time Markov Chain Transition Parameters from Discrete Time 
Observations

Toussaint, U. von; Preuss, R.

Local TagsRelease HistoryDetailsSummary

Estimating Continous-time Markov Chain Transition Parameters from Discrete Time Observations

Toussaint, U. v., & Preuss, R. (2016). Estimating Continous-time Markov Chain Transition Parameters from Discrete Time Observations. Talk presented at 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2016). Ghent. 2016-07-10 - 2016-07-15.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-0BB5-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-0E7C-C

Genre: Talk

Files

show Files

Locators

show

Creators

show

hide

Creators:
Toussaint, U. von¹, Author
Preuss, R.¹, Author

Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344

Content

show

Details

show

hide

Language(s): eng - English

Dates: Created: 2016

Publication Status: Not specified

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: -

Degree: -

Event

show

hide

Title: 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2016)

Place of Event: Ghent

Start-/End Date: 2016-07-10 - 2016-07-15

Legal Case

show

Project information

show

Source

show