NDLI: Bayesian inference for mixtures of von Mises distributions using reversible jump MCMC sampler

Please wait, while we are loading the content...

Bayesian inference for mixtures of von Mises distributions using reversible jump MCMC sampler

Content Provider	Scilit
Author	Mulder, Kees Jongsma, Pieter Klugkist, Irene
Copyright Year	2020
Description	Circular data are encountered in a variety of fields. A dataset on music listening behaviour throughout the day motivates development of models for multi-modal circular data where the number of modes is not known a priori. To fit a mixture model with an unknown number of modes, the reversible jump Metropolis-Hastings MCMC algorithm is adapted for circular data and presented. The performance of this sampler is investigated in a simulation study. At small-to-medium sample sizes $(n\leq$
Related Links	https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1740997?needAccess=true
Ending Page	1556
Page Count	18
Starting Page	1539
ISSN	00949655
e-ISSN	15635163
DOI	10.1080/00949655.2020.1740997
Journal	Journal of Statistical Computation and Simulation
Issue Number	9
Volume Number	90
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-04-15
Access Restriction	Open
Subject Keyword	Journal: Journal of Statistical Computation and Simulation Acoustics and Ultrasonics Music Markov Chain Monte Carlo Circular Statistics Von Mises Mixture Models 62f15
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Statistics, Probability and Uncertainty Modeling and Simulation

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in