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Nalini Ravishanker

Affiliations: 
University of Connecticut, Storrs, CT, United States 
Area:
Statistics
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Madhuja Mallick grad student 2004 University of Connecticut
Zhaohui Liu grad student 2006 University of Connecticut

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Zhang Y, Zou J, Ravishanker N, et al. (2019) Modeling financial durations using penalized estimating functions Computational Statistics & Data Analysis. 131: 145-158
Asha G, Raja AV, Ravishanker N. (2017) Reliability modelling incorporating load share and frailty Applied Stochastic Models in Business and Industry. 34: 206-223
Serhiyenko V, Ravishanker N, Venkatesan R. (2017) Multi-stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category Applied Stochastic Models in Business and Industry. 34: 61-78
Wang K, Ivan JN, Ravishanker N, et al. (2016) Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways. Accident; Analysis and Prevention. 99: 6-19
Serhiyenko V, Mamun SA, Ivan JN, et al. (2016) Fast Bayesian inference for modeling multivariate crash counts Analytic Methods in Accident Research. 9: 44-53
Pai J, Ravishanker N. (2015) Fast approximate likelihood evaluation for stable VARFIMA processes Statistics and Probability Letters. 103: 160-168
Serhiyenko V, Ravishanker N, Venkatesan R. (2015) Approximate Bayesian estimation for multivariate count time series models Springer Proceedings in Mathematics and Statistics. 149: 155-167
Ravishanker N, Serhiyenko V, Willig MR. (2014) Hierarchical dynamic models for multivariate times series of counts Statistics and Its Interface. 7: 559-570
Zhou H, Ivan JN, Gårder PE, et al. (2014) Gap acceptance for left turns from the major road at unsignalized intersections Transport
Islam MS, Serhiyenko V, Ivan JN, et al. (2014) Explaining Pedestrian Safety Experience at Urban and Suburban Street Crossings Considering Observed Conflicts and Pedestrian Counts Journal of Transportation Safety and Security. 6: 335-355
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