| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2026―Feb―14 |
Relationship between air pollutants, meteorological variables and cases of COVID-19 in European cities |
Laura Serra Saurina, Pablo Juan, Carlos Díaz-Avalos, Ana Belén Vicente, Pablo Gregori, Somnath Chaudhuri |
| 2 |
[GO] |
2025―Dec―05 |
Comparison of parameter estimation using the extended Kalman filter and ensemble Kalman filter for a stochastic SIR model of the COVID-19 epidemic |
Youssef Belgraoui, Aziza Belmaati, Mustapha Kabil |
| 3 |
[GO] |
2025―Jul―03 |
Chilean pension funds in times of pandemic: modeling and long/short-term risk assessment |
Milan Stehlík, Danilo Leal, Pablo Méndez Montenegro, Jozef Kiseľák |
| 4 |
[GO] |
2025―Apr―15 |
Impact of record-linkage errors in Covid-19 vaccine-safety analyses using German health-care data: a simulation study |
Robin Denz, Katharina Meiszl, Peter Ihle, Doris Oberle, Ursula Drechsel-Bäuerle, Katrin Scholz, et al. (+2) Ingo Meyer, Nina Timmesfeld |
| 5 |
[GO] |
2024―Nov―15 |
A class of mixed thinning threshold integer-valued autoregressive model for the COVID-19 data |
Jianlong Peng, Qi Li, Xiufang Liu |
| 6 |
[GO] |
2024―Apr―16 |
INAR(1) process with weighted negative binomial Lindley distributed innovations and applications to criminal and COVID-19 data |
Zohreh Mohammadi, Hassan S. Bakouch, Predrag M. Popović |
| 7 |
[GO] |
2023―May―20 |
A sampling scheme for estimating the prevalence of a pandemic |
Ze Liu, Si-Yu Yi, Jianghu (James) Dong, Min-Qian Liu, Yong-Dao Zhou |
| 8 |
[GO] |
2022―Nov―15 |
Maximum likelihood estimation of the SDMINAR(p) model to analyze some COVID-19 data |
Xiufang Liu, Wenkun Zhang, Wenzheng Yin, Zhiwen Cheng |
| 9 |
[GO] |
2021―Oct―19 |
Alternative procedures in dependent counting INAR process with application on COVID-19 |
N. Shamma, M. Mohammadpour |
