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Publication search results
found 194 matches
- 2024
- Rui Zhang:
Asymmetric beta-binomial GARCH models for time series with bounded support. Appl. Math. Comput. 470: 128556 (2024) - Xin-Wei Huang, Takeshi Emura:
Computational methods for a copula-based Markov chain model with a binomial time series. Commun. Stat. Simul. Comput. 53(4): 1973-1990 (2024) - Jian Pei, Fukang Zhu:
Marginal likelihood estimation for the negative binomial INGARCH model. Commun. Stat. Simul. Comput. 53(4): 1814-1823 (2024) - Yuanqi Chu, Keming Yu:
Bayesian log-linear beta-negative binomial integer-valued Garch model. Comput. Stat. 39(3): 1183-1202 (2024) - 2023
- Rashad Mohamed El-Sagheer, Mohammed S. Eliwa, Mahmoud El-Morshedy, Laila A. Al-Essa, Afrah Al-Bossly, Amel Abd-El-Monem:
Analysis of the Stress-Strength Model Using Uniform Truncated Negative Binomial Distribution under Progressive Type-II Censoring. Axioms 12(10): 949 (2023) - Marta Pelizzola, Ragnhild Laursen, Asger Hobolth:
Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization. BMC Bioinform. 24(1): 187 (2023) - Çagatay Çetinkaya:
Inference of P(X > Y) for the Burr-XII model under generalized progressive hybrid censored data with binomial removals. Concurr. Comput. Pract. Exp. 35(7) (2023) - Abderrahmen Manaa, Mohamed Bentarzi:
On a periodic negative binomial SETINAR model. Commun. Stat. Simul. Comput. 52(3): 569-595 (2023) - Abderrahmen Manaa, Mohamed Bentarzi:
Periodic negative binomial INGARCH(1, 1) model. Commun. Stat. Simul. Comput. 52(11): 5139-5162 (2023) - Zahra Zandi, Hossien Bevrani, Reza Arabi Belaghi:
Using shrinkage strategies to estimate fixed effects in zero-inflated negative binomial mixed model. Commun. Stat. Simul. Comput. 52(7): 3201-3222 (2023) - Huaping Chen, Jiayue Zhang, Xiufang Liu:
A Conway-Maxwell-Poisson-Binomial AR(1) Model for Bounded Time Series Data. Entropy 25(1): 126 (2023) - Retracted: Based on Knowledge Recognition and Using Binomial Distribution Function to Establish a Mathematical Model of Random Selection of Test Questions in the Test Bank. J. Electr. Comput. Eng. 2023: 9838757:1-9838757:1 (2023)
- Richa Indu, Sushil Chandra Dimri:
Detecting Spam E-mails with Content and Weight-based Binomial Logistic Model. J. Web Eng. 22(7): 939-960 (2023) - Tuba Koç, Haydar Koç:
A New Effective Jackknifing Estimator in the Negative Binomial Regression Model. Symmetry 15(12): 2107 (2023) - Ladislav Zjavka, Václav Snásel:
Photovoltaic Power 24-hour Predictions Using PDE Component Models Based on the L-Transform Conversion Produced in Node-by-Node Evolved Binomial Networks. INCoS 2023: 79-89 - Zhongyuan Lyu, Ting Li, Dong Xia:
Optimal Clustering of Discrete Mixtures: Binomial, Poisson, Block Models, and Multi-layer Networks. CoRR abs/2311.15598 (2023) - 2022
- Mingmao Cai, Feng Tang, Xinsha Fu:
A Bayesian Bivariate Random Parameters and Spatial-Temporal Negative Binomial Lindley Model for Jointly Modeling Crash Frequency by Severity: Investigation for Chinese Freeway Tunnel Safety. IEEE Access 10: 38045-38064 (2022) - Lin Xiao:
Compound binomial risk model in a Markovian environment with capital cost and the calculation algorithm. Appl. Math. Comput. 424: 126969 (2022) - Mohammed S. Eliwa, Abhishek Tyagi, Bader Almohaimeed, Mahmoud El-Morshedy:
Modelling Coronavirus and Larvae Pyrausta Data: A Discrete Binomial Exponential II Distribution with Properties, Classical and Bayesian Estimation. Axioms 11(11): 646 (2022) - Tiantian Liu, Peirong Xu, Yueyao Du, Hui Lu, Hongyu Zhao, Tao Wang:
MZINBVA: variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys. Briefings Bioinform. 23(1) (2022) - Muhammad Nauman Akram, Mohamed Reda Abonazel, Muhammad Amin, B. M. Golam Kibria, Nimra Afzal:
A new Stein estimator for the zero-inflated negative binomial regression model. Concurr. Comput. Pract. Exp. 34(19) (2022) - Suvra Pal, Souvik Roy:
A new non-linear conjugate gradient algorithm for destructive cure rate model and a simulation study: illustration with negative binomial competing risks. Commun. Stat. Simul. Comput. 51(11): 6866-6880 (2022) - Yewon Han, Jaeho Kim, Hon Keung Tony Ng, Seong W. Kim:
Logistic Regression Model for a Bivariate Binomial Distribution with Applications in Baseball Data Analysis. Entropy 24(8): 1138 (2022) - Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Samer Alsaadi, Derar Eleyan:
Accurate and time-efficient negative binomial linear model for electric load forecasting in IoE. Trans. Emerg. Telecommun. Technol. 33(3) (2022) - Fang Jin, Hui Ou:
Optimal portfolio selection with transaction costs in compound binomial model. Int. J. Appl. Decis. Sci. 15(1): 1-14 (2022) - Xun Gu, Shuai Dai:
Application analysis of highway traffic accident risk model based on geographically weighted negative binomial regression. J. Comput. Methods Sci. Eng. 22(5): 1795-1808 (2022) - Serguei Kaniovski, Alexander Zaigraev:
Asymptotic probability of majority inversion under a general binomial voting model. Oper. Res. Lett. 50(4): 391-398 (2022) - Wanchaloem Wunkaew, Yuqing Liu, Kirill V. Golubnichiy:
Using the Newton-Raphson Method with Automatic Differentiation to Numerically Solve Implied Volatility of Stock Option through Binomial Model. CoRR abs/2207.09033 (2022) - 2021
- Roula Tsonaka, Pietro Spitali:
Negative Binomial mixed models estimated with the maximum likelihood method can be used for longitudinal RNAseq data. Briefings Bioinform. 22(4) (2021) - Xiaohong Wang, Dehui Wang, Kai Yang, Da Xu:
Estimation and testing for the integer-valued threshold autoregressive models based on negative binomial thinning. Commun. Stat. Simul. Comput. 50(6): 1622-1644 (2021)
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