Predicting cyanobacteria abundance with Bayesian zero-inflated models
Cyanobacterial blooms are a persistent concern to water management and treatment, with blooms potentially causing the release of toxins and degrading water quality. However, previous models have not considered the zero inflation of cyanobacteria count data. Typically, a relatively large proportion o...
Main Authors: | Yirao Zhang, Nicolas M. Peleato |
---|---|
Format: | Article |
Language: | English |
Published: |
IWA Publishing
2023-11-01
|
Series: | Journal of Hydroinformatics |
Subjects: | |
Online Access: | http://jhydro.iwaponline.com/content/25/6/2161 |
Similar Items
-
Analysis of zero inflated dichotomous variables from a Bayesian perspective: application to occupational health
by: David Moriña, et al.
Published: (2021-12-01) -
Statistical inference for zero-and-one-inflated poisson models
by: Yincai Tang, et al.
Published: (2017-07-01) -
Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014
by: Dayun Kang, et al.
Published: (2018-11-01) -
Contributors of Mammography Screening with Zero-Inflated Count Regression Models by Bayesian Approach
by: Behrooz Kavehie, et al.
Published: (2019-04-01) -
Comparing Bayesian regression and classic zero-inflated negative binomial on size estimation of people who use alcohol
by: Sepideh Roohi, et al.
Published: (2017-10-01)