Bayesian local bandwidths in a flexible semiparametric kernel estimation for multivariate count data with diagnostics
Author:
Funder
EIPHI Graduate School
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s10260-023-00682-5.pdf
Reference37 articles.
1. Abdous B, Kokonendji CC, Senga Kiessé T (2012) On semiparametric regression for count explanatory variables. J Stat Plan Inference 142:1537–1548
2. Aitchinson J, Ho CH (1989) The multivariate Poisson-log normal distribution. Biometrika 75:621–629
3. Arab A, Holan SH, Wikle CK, Wildhaber ML (2011) Semiparametric bivariate zero-inflated Poisson models with application to studies of abundance for multiple species. Environmetrics 23:183–196
4. Belaid N, Adjabi S, Zougab N, Kokonendji CC (2016a) Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions. J Korean Stat Soc 45:557–567
5. Belaid N, Adjabi S, Kokonendji CC, Zougab N (2016b) Bayesian local bandwidth selector in multivariate associated kernel estimator for joint probability mass functions. J Stat Comput Simul 86:3667–3681
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1. On Underdispersed Count Kernels for Smoothing Probability Mass Functions;Stats;2023-11-04
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