Keshav Pokhrel
Research Affiliate, Population Studies Center.
Assistant Professor, Statistics, College of Arts, Sciences & Letters, University of Michigan, Dearborn.
Ph.D., Statistics, University of South Florida
Research Interests: Dr. Pokhrel's research interests include the epidemiology of cancer, time series forecasting, quantile regression, and functional data analysis.
Select Publications
Pokhrel, Keshav, Taysseer Sharaf, Prem B. Bhandari, and Dirgha J. Ghimire. Forthcoming. "Farm Exit Among Smallholder Farmers of Nepal: A Bayesian Logistic Regression Models Approach." Agricultural Research.
Sharaf, Taysseer, Theren Williams, Abdallah Chehade, and Keshav Pokhrel. 2020. "BLNN: An R package for training neural networks using Bayesian inference." SoftwareX, 11.
Aryal, Gokarna R., Keshav Pokhrel, Netra Khanal, and Chris P. Tsokos. 2019. "Reliability Models Using the Composite Generalizers of Weibull Distribution." Annals of Data Science, 6(4): 807-829.
Kafle, R., Keshav Pokhrel, N. Khanal, and C. Tsokos. 2019. "Differential equation model of carbon dioxide emission using functional linear regression." Journal of Applied Statistics, 46(7): 1246-1259.
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