G5 Doctoral dissertation (article)
Markov Chain Monte Carlo Importance Samplers for Bayesian Models with Intractable Likelihoods (2019)

Franks, J. (2019). Markov Chain Monte Carlo Importance Samplers for Bayesian Models with Intractable Likelihoods [Doctoral dissertation]. University of Jyväskylä. JYU Dissertations, 79. http://urn.fi/URN:ISBN:978-951-39-7738-2

JYU authors or editors

Publication details

All authors or editors: Franks, Jordan

ISBN: 978-951-39-7738-2

Journal or series: JYU Dissertations

ISSN: 2489-9003

Publication year: 2019

Number in series: 79

Number of pages in the book: 33

Publisher: University of Jyväskylä

Place of Publication: Jyväskylä

Publication country: Finland

Publication language: English

Persistent website address: http://urn.fi/URN:ISBN:978-951-39-7738-2

Publication open access: Openly available

Publication channel open access: Open Access channel

Additional information: Artikkeliväitöskirjan yhteenveto-osa ja 4 eripainosta.

Keywords: statistical models; inference; Bayesian analysis; approximation; Markov chains; Monte Carlo methods

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2019