Soma S. Dhavala, Ph.D.
Affiliations: | 2010 | Texas A & M University, College Station, TX, United States |
Area:
Statistics, Bioinformatics Biology, Veterinary Science BiologyGoogle:
"Soma Dhavala"Parents
Sign in to add mentor| Bani Mallick | grad student | 2010 | Texas A & M | |
| (Bayesian semiparametric models for heterogeneous cross-platform differential gene expression.) | ||||
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Publications
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| Shirazi M, Dhavala SS, Lord D, et al. (2017) A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over the Negative Binomial (NB). Accident; Analysis and Prevention. 107: 186-194 |
| Chakraborty A, Bingham D, Dhavala SS, et al. (2017) Emulation of Numerical Models With Over-Specified Basis Functions Technometrics. 59: 153-164 |
| Shirazi M, Lord D, Dhavala SS, et al. (2016) A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data. Accident; Analysis and Prevention. 91: 10-18 |
| Geedipally SR, Lord D, Dhavala SS. (2014) A caution about using deviance information criterion while modeling traffic crashes Safety Science. 62: 495-498 |
| Konomi BA, Dhavala SS, Huang JZ, et al. (2013) Bayesian object classification of gold nanoparticles Annals of Applied Statistics. 7: 640-668 |
| Geedipally SR, Lord D, Dhavala SS. (2012) The negative binomial-Lindley generalized linear model: characteristics and application using crash data. Accident; Analysis and Prevention. 45: 258-65 |
| Francis RA, Geedipally SR, Guikema SD, et al. (2012) Characterizing the performance of the Conway-Maxwell Poisson generalized linear model. Risk Analysis : An Official Publication of the Society For Risk Analysis. 32: 167-83 |
| Richardson S, Bottolo L, Rosenthal JS, et al. (2012) Bayesian Models for Sparse Regression Analysis of High Dimensional Data Bayesian Statistics 9 |
| Dhavala SS, Datta S, Mallick BK, et al. (2010) Bayesian Modeling of MPSS Data: Gene Expression Analysis of Bovine Salmonella Infection. Journal of the American Statistical Association. 105: 956-967 |