• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 167 matches

• 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)
• 
  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)
• 
  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)
• 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)
• 
  Bruna Gregory Palm, Fábio M. Bayer, Renato J. Cintra:
  Signal detection and inference based on the beta binomial autoregressive moving average model. Digit. Signal Process. 109: 102911 (2021)
• 
  Mekuanint Simeneh Workie, Abebaw Gedef Azene:
  Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity. J. Big Data 8(1): 1-20 (2021)
• 
  Beomjin Park, Hosik Choi, Changyi Park:
  Negative binomial graphical model with excess zeros. Stat. Anal. Data Min. 14(5): 449-465 (2021)
• 
  Boris Forthmann, Philipp Doebler:
  Reliability of researcher capacity estimates and count data dispersion: a comparison of Poisson, negative binomial, and Conway-Maxwell-Poisson models. Scientometrics 126(4): 3337-3354 (2021)
• 
  Fengqiu Li, Hongmei Wang:
  Negative binomial model in the impact of Corporate Technology M&A on Innovation Performance. ICCIR 2021: 579-583
• 2020
• 
  Feng Tang, Xinsha Fu, Mingmao Cai, Yue Lu, Shiyu Zhong, Chongzhen Lu:
  Applying a Correlated Random Parameters Negative Binomial Lindley Model to Examine Crash Frequency Along Highway Tunnels in China. IEEE Access 8: 213473-213488 (2020)
• 
  J. A. A. Andrade:
  Exact posterior computation for the binomial-Kumaraswamy model. Adv. Comput. Math. 46(6): 80 (2020)
• 
  Mahdi Rezapour, Khaled Ksaibati:
  Application of Bayesian Hierarchical Negative Binomial Finite Mixture Model for Cost-Benefit Analysis of Barriers Optimization, Accounting for Severe Heterogeneity. Algorithms 13(11): 288 (2020)
• 
  Xinyan Zhang, Nengjun Yi:
  Fast zero-inflated negative binomial mixed modeling approach for analyzing longitudinal metagenomics data. Bioinform. 36(8): 2345-2351 (2020)
• 
  Xu Ren, Pei Fen Kuan:
  Negative binomial additive model for RNA-Seq data analysis. BMC Bioinform. 21(1): 171 (2020)
• 
  Xinyan Zhang, Nengjun Yi:
  NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis. BMC Bioinform. 21(1): 488 (2020)
• 
  Jianguo Chen, Lin Liu, Luzi Xiao, Chong Xu, Dongping Long:
  Integrative Analysis of Spatial Heterogeneity and Overdispersion of Crime with a Geographically Weighted Negative Binomial Model. ISPRS Int. J. Geo Inf. 9(1): 60 (2020)
• 
  Jirô Akahori, Yu Chiba:
  Generalizations of Ho-Lee's binomial interest rate model II: randomization. JSIAM Lett. 12: 57-60 (2020)
• 
  Chen Jia:
  Kinetic Foundation of the Zero-Inflated Negative Binomial Model for Single-Cell RNA Sequencing Data. SIAM J. Appl. Math. 80(3): 1336-1355 (2020)
• 
  Rindang Bangun Prasetyo, Heri Kuswanto, Nur Iriawan, Brodjol Sutijo Suprih Ulama:
  Binomial Regression Models with a Flexible Generalized Logit Link Function. Symmetry 12(2): 221 (2020)
• 
  Fangyuan Li, Kun Jiang:
  Application of Random-parameter Negative Binomial Model to Examine the Relationship between the Severity of Traffic Accident. ICITE 2020: 351-354
• 
  Paride Antonini, Davide Petturiti, Barbara Vantaggi:
  Dynamic Portfolio Selection Under Ambiguity in the ε-Contaminated Binomial Model. IPMU (2) 2020: 210-223
• 2019
• 
  Fikriye Kurtoglu, M. Revan Özkale:
  Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses. Commun. Stat. Simul. Comput. 48(4): 1191-1218 (2019)
• 
  Lianfa Zhang, Jianquan Cheng, Cheng Jin:
  Spatial Interaction Modeling of OD Flow Data: Comparing Geographically Weighted Negative Binomial Regression (GWNBR) and OLS (GWOLSR). ISPRS Int. J. Geo Inf. 8(5): 220 (2019)
• 
  Denis Kazakiewicz, Jürgen Claesen, Katarzyna Górczak, Dariusz Plewczynski, Tomasz Burzykowski:
  A Multivariate Negative-Binomial Model with Random Effects for Differential Gene-Expression Analysis of Correlated mRNA Sequencing Data. J. Comput. Biol. 26(12): 1339-1348 (2019)
• 
  David Stenlund, James G. Wan:
  Some Double Sums Involving Ratios of Binomial Coefficients Arising From Urn Models. J. Integer Seq. 22(1): 19.1.8 (2019)
• 
  Junbin Chen, Frank P. A. Coolen, Tahani Coolen-Maturi:
  On nonparametric predictive inference for asset and European option trading in the binomial tree model. J. Oper. Res. Soc. 70(10): 1678-1691 (2019)
• 
  Ting He, Frank P. A. Coolen, Tahani Coolen-Maturi:
  Nonparametric predictive inference for European option pricing based on the binomial tree model. J. Oper. Res. Soc. 70(10): 1692-1708 (2019)

skipping 137 more matches