Bat Echolocation Call Identification for Biodiversity Monitoring: A Probabilistic Approach
Open Access
- 20 February 2017
- journal article
- research article
- Published by Oxford University Press (OUP) in Journal of the Royal Statistical Society Series C: Applied Statistics
- Vol. 67 (1) , 165-183
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- THE SHAPE OF SOUND: ELLIPTIC FOURIER DESCRIPTORS (EFD) DISCRIMINATE THE ECHOLOCATION CALLS OFMYOTISBATS (M. DAUBENTONII, M. NATTERERIANDM. MYSTACINUS)Bioacoustics, 2011
- To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC EfficiencyJournal of Computational and Graphical Statistics, 2011
- Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through timeTrends in Ecology & Evolution, 2010
- Global Biodiversity: Indicators of Recent DeclinesScience, 2010
- The pseudo-marginal approach for efficient Monte Carlo computationsThe Annals of Statistics, 2009
- Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approachMammalia, 2004
- Zero-Variance Principle for Monte Carlo AlgorithmsPhysical Review Letters, 1999
- Bayesian Analysis of Binary and Polychotomous Response DataJournal of the American Statistical Association, 1993
- Dynamic programming algorithm optimization for spoken word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978