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Parameter estimation for state space models using sequential Monte Carlo algorithms

Research output: Thesis › Doctoral Thesis

Published

Standard

Parameter estimation for state space models using sequential Monte Carlo algorithms. / Nemeth, Christopher.
Lancaster University, 2014. 204 p.

Research output: Thesis › Doctoral Thesis

Harvard

Nemeth, C 2014, 'Parameter estimation for state space models using sequential Monte Carlo algorithms', PhD, Lancaster University.

APA

Nemeth, C. (2014). Parameter estimation for state space models using sequential Monte Carlo algorithms. [Doctoral Thesis, Lancaster University]. Lancaster University.

Vancouver

Nemeth C. Parameter estimation for state space models using sequential Monte Carlo algorithms. Lancaster University, 2014. 204 p.

Author

Nemeth, Christopher. / Parameter estimation for state space models using sequential Monte Carlo algorithms. Lancaster University, 2014. 204 p.

Bibtex

@phdthesis{d2623206359841508ef8382dc109005f,
title = "Parameter estimation for state space models using sequential Monte Carlo algorithms",
author = "Christopher Nemeth",
year = "2014",
language = "English",
publisher = "Lancaster University",
school = "Lancaster University",

}

RIS

TY - BOOK

T1 - Parameter estimation for state space models using sequential Monte Carlo algorithms

AU - Nemeth, Christopher

PY - 2014

Y1 - 2014

M3 - Doctoral Thesis

PB - Lancaster University

ER -