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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2024―Okt―10 |
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic |
Wei Zhang, Antonietta Mira, Ernst C. Wit |
| 2 |
[GO] |
2024―Okt―08 |
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States |
Yukang Jiang, Ting Tian, Wenting Zhou, Yuting Zhang, Zhongfei Li, Xueqin Wang, Heping Zhang |
| 3 |
[GO] |
2024―Jul―03 |
Estimating changepoints in extremal dependence, applied to aviation stock prices during COVID-19 pandemic |
Arnab Hazra, Shiladitya Bose |
| 4 |
[GO] |
2024―Jun―18 |
Identifying waves of COVID-19 mortality using skew normal curves |
Kamal Rai, Patrick E. Brown |
| 5 |
[GO] |
2024―Apr―02 |
Estimation of world seroprevalence of SARS-CoV-2 antibodies |
Kwangmin Lee, Seongmin Kim, Seongil Jo, Jaeyong Lee |
| 6 |
[GO] |
2023―Okt―30 |
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets |
Matthieu Garcin, Jules Klein, Sana Laaribi |
| 7 |
[GO] |
2023―Sep―06 |
Point estimation and related classification problems for several Lindley populations with application using COVID-19 data |
Debasmita Bal, Manas Ranjan Tripathy, Somesh Kumar |
| 8 |
[GO] |
2023―Aug―18 |
Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models: an application to COVID-19 |
Özge Kuran, Seçil Yalaz |
| 9 |
[GO] |
2023―Jul―28 |
Editorial to the special issue: statistical perspectives on analytics for COVID-19 data |
Arnold Stromberg, Jie Chen, Teresa Paula Costa Azinheira Oliveira, Yichuan Zhao, Ramin Moghaddass, Milan Stehlik |
| 10 |
[GO] |
2023―Apr―19 |
Robust autoregressive modeling and its diagnostic analytics with a COVID-19 related application |
Yonghui Liu, Jing Wang, Víctor Leiva, Alejandra Tapia, Wei Tan, Shuangzhe Liu |
| 11 |
[GO] |
2023―Mrz―27 |
The balanced discrete Burr-Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications |
Seyedeh Mahbubeh Hoseini Baladezaei, Einolah Deiri, Ezzatallah Baloui Jamkhaneh |
| 12 |
[GO] |
2023―Feb―13 |
On regime changes of COVID-19 outbreak |
A. Tchorbadjieff, L. P. Tomov, V. Velev, G. Dezhov, V. Manev, P. Mayster |
| 13 |
[GO] |
2023―Jan―10 |
Impact of COVID-19 on public social life and mental health: a statistical study of google trends data from the USA |
Archi Roy, Soudeep Deb, Divya Chakarwarti |
| 14 |
[GO] |
2023―Jan―04 |
A new flexible regression model with application to recovery probability Covid-19 patients |
F. Prataviera, E. M. Hashimoto, E. M. M. Ortega, G. M. Cordeiro, V. G. Cancho, R. Vila |
| 15 |
[GO] |
2022―Nov―15 |
A latent space model and Hotelling's T2 control chart to monitor the networks of Covid-19 symptoms |
Fatemeh Elhambakhsh, Kamyar Sabri-Laghaie, Rassoul Noorossana |
| 16 |
[GO] |
2022―Okt―01 |
A general class of small area estimation using calibrated hierarchical likelihood approach with applications to COVID-19 data |
Nirosha Rathnayake, Hongying Daisy Dai, Richard Charnigo, Kendra Schmid, Jane Meza |
| 17 |
[GO] |
2022―Sep―03 |
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection |
Jiuyun Hu, Yajun Mei, Sarah Holte, Hao Yan |
| 18 |
[GO] |
2022―Mai―16 |
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States |
Kevin D. Dayaratna, Drew Gonshorowski, Mary Kolesar |
| 19 |
[GO] |
2022―Mai―06 |
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 |
E. F. Saraiva, L. Sauer, C. A. B. Pereira |
| 20 |
[GO] |
2022―Mai―05 |
Classification and severity progression measure of COVID-19 patients using pairs of multi-omic factors |
Teng Chen, Paweł Polak, Stanislav Uryasev |
| 21 |
[GO] |
2022―Apr―27 |
Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-19 |
Wantanee Poonvoralak |
| 22 |
[GO] |
2022―Apr―26 |
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting |
Xin Zhao, Stuart Barber, Charles C Taylor, Xiaokai Nie, Wenqian Shen |
| 23 |
[GO] |
2022―Apr―25 |
Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan |
Masao Ueki |
| 24 |
[GO] |
2022―Mrz―11 |
A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations |
Brian Neelon, Chun-Che Wen, Sara E. Benjamin-Neelon |
| 25 |
[GO] |
2022―Feb―26 |
On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19 |
ShengLi Tzeng, Chun-Shu Chen, Yu-Fen Li, Jin-Hua Chen |
| 26 |
[GO] |
2022―Feb―16 |
Sensitivity analysis of error-contaminated time series data under autoregressive models with the application of COVID-19 data |
Qihuang Zhang, Grace Y. Yi |
| 27 |
[GO] |
2022―Feb―10 |
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil |
E. M. Hashimoto, E. M. M. Ortega, G. M. Cordeiro, V. G. Cancho, I. Silva |
| 28 |
[GO] |
2022―Jan―31 |
Identifying the cycles in COVID-19 infection: the case of Turkey |
Yılmaz Akdi, Yunus Emre Karamanoğlu, Kamil Demirberk Ünlü, Cem Baş |
| 29 |
[GO] |
2022―Jan―12 |
Hot spot identification method based on Andrews curves: an application on the COVID-19 crisis effects on caregiver distress in neurocognitive disorder |
E. Skamnia, P. Economou, S. Bersimis, M. Frouda, A. Politis, P. Alexopoulos |
| 30 |
[GO] |
2022―Jan―01 |
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates |
Mohsen Maleki, Hamid Bidram, Darren Wraith |
| 31 |
[GO] |
2021―Nov―29 |
Statistical modelling of COVID-19 pandemic development applying branching processes |
D. Atanasov, Vessela Stoimenova, Nikolay M. Yanev |
| 32 |
[GO] |
2021―Nov―29 |
On evolution model for SARS-Cov-2-infected population: the case of New Zealand |
Estate Khmaladze, Giorgi Kvizhinadze |
| 33 |
[GO] |
2021―Okt―12 |
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models |
Xiaolei Zhang, Renjun Ma |
| 34 |
[GO] |
2021―Okt―09 |
Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar |
Edward L. Boone, Abdel-Salam G. Abdel-Salam, Indranil Sahoo, Ryad Ghanam, Xi Chen, Aiman Hanif |
| 35 |
[GO] |
2021―Aug―31 |
A spatio-temporal statistical model to analyze COVID-19 spread in the USA |
Siddharth Rawat, Soudeep Deb |
| 36 |
[GO] |
2021―Jul―13 |
Identification of factors impacting on the transmission and mortality of COVID-19 |
Peiyi Zhang, Tianning Dong, Ninghui Li, Faming Liang |
| 37 |
[GO] |
2021―Jul―08 |
A continuous age-specific standardized mortality ratio for estimating the unascertained rates in the early epidemic of COVID-19 in different regions |
Peipei Du, Peihua Cao, Xiaodong Yan, Daihai He, Xiaotong Zhang, Weixiang Chen, et al. (+6) Jiawei Luo, Ziqian Zeng, Yaolong Chen, Lin Yang, Shu Yang, Xixi Feng |
| 38 |
[GO] |
2021―Jun―22 |
Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios |
Claire Donnat, Susan Holmes |
| 39 |
[GO] |
2021―Jun―08 |
Latent trait models for perceived risk assessment using a Covid-19 data survey |
S. Bacci, R. Fabbricatore, Maria Iannario |
| 40 |
[GO] |
2021―Jun―04 |
Time fused coefficient SIR model with application to COVID-19 epidemic in the United States |
Hou-Cheng Yang, Yishu Xue, Yuqing Pan, Qingyang Liu, Guanyu Hu |
| 41 |
[GO] |
2021―Mai―23 |
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing |
Guannan Wang, Zhiling Gu, Xinyi Li, Shan Yu, Myungjin Kim, Yueying Wang, et al. (+2) Lei Gao, Li Wang |
| 42 |
[GO] |
2021―Apr―24 |
Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic |
Yonghui Liu, Chaoxuan Mao, Víctor Leiva, Shuangzhe Liu, Waldemiro A. Silva Neto |
| 43 |
[GO] |
2021―Mrz―30 |
Point process models for COVID-19 cases and deaths |
Álvaro Gajardo, Hans-Georg Müller |
| 44 |
[GO] |
2021―Mrz―10 |
Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China |
Ting Tian, Jingwen Zhang, Shiyun Lin, Yukang Jiang, Jianbin Tan, Zhongfei Li, Xueqin Wang |
| 45 |
[GO] |
2020―Nov―25 |
An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19 |
Denis A. Pustokhin, Irina V. Pustokhina, Phuoc Nguyen Dinh, Son Van Phan, Gia Nhu Nguyen, Gyanendra Prasad Joshi, Shankar K. |
