A nonparametric Bayesian analysis for meningococcal disease counts based on integer-valued threshold time series models
Author:
Affiliation:
1. School of Science, Changchun University, Changchun, China
2. School of Mathematics and Statistics, Changchun University of Technology, Changchun, China
3. Institute of Science and Technology, Shenyang Open University, Shenyang, China
Funder
National Natural Science Foundation of China
Scientific Research Project of Jilin Provincial Department of Education
Qiushi Foundation Cultivation Project of Changchun University
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610926.2022.2059683
Reference50 articles.
1. FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
2. Effects of meteorological factors on the incidence of meningococcal meningitis
3. Markov switching integer‐valued generalized auto‐regressive conditional heteroscedastic models for dengue counts
4. Generalized Poisson autoregressive models for time series of counts
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1. Shrinkage estimation and order selection in threshold autoregressive models via Bayesian empirical likelihood;Communications in Statistics - Simulation and Computation;2023-09-05
2. On MCMC sampling in random coefficients self-exciting integer-valued threshold autoregressive processes;Journal of Statistical Computation and Simulation;2023-07-17
3. First-order binomial autoregressive processes with Markov-switching coefficients;Journal of Statistical Computation and Simulation;2022-11-14
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