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Statistical Theory, Methods and Applications

  1. Dutta, S. and Mondal, D. (2021). On the usefulness of lattice approximations for fractional Gaussian fields. Handbook of Statistics. 44, 131-154Link
  2. Wang, R., Dutta, S., and Roy, V. (2021). A note on marginal correlation based screening. Statistical Analysis and Data Mining, 14(1), 88-92. Link arXiv
  3. Mao, X., Dutta, S. Wong. K. W. and Nettleton, D. (2020). Adjusting for spatial effects in genomic prediction. Journal of Agricultural, Biological and Environmental Statistics. 25(4), 699–718. Link, arXiv, Code
  4. Dai, F., Dutta, S. and Maitra, R. (2020). A Matrix–free likelihood method for exploratory factor analysis of high-dimensional Gaussian data. Journal of Computational and Graphical Statistics. 29(3), 675–680. LinkarXiv
    [Winner of 2020 ASA Student Paper Competition award in the Section on Statistical Computing by Fan Dai]
  5. Laha, A. K., Dutta, S. and Roy, V. (2017). A novel sandwich algorithm for empirical Bayes analysis of rank data. Statistics and Its Interface10(4), 543-556. LinkarXiv
  6. Dutta, S. and Mondal, D. (2016). Variogram calculations for random fields on regular lattices using quadrature methods. Environmetrics, 27(7), 380-395. Link
  7. Dutta, S. and Mondal, D. (2016). REML estimation with intrinsic Matérn dependence in the spatial linear mixed model. Electronic Journal of Statistics, 10(2), 2856-2893. Link
  8. Biswas, A., Dutta, S., Laha, A. K. and Bakshi, P. K. (2016). Comparison of treatments in a cataract surgery with circular response. Statistical Methods in Medical Research25(5), 2238-2249. Link
  9. Biswas, A., Jha, J., and Dutta, S. (2016). Modeling circular random variables with a spike at zero. Statistics & Probability Letters109, 194-201. Link
  10. Biswas, A., Dutta, S., Laha, A. K. and Bakshi, P. K. (2015). Response-adaptive allocation for circular data. Journal of biopharmaceutical statistics25(4), 830-842. Link
  11. Dutta, S. and Mondal, D. (2015). An h‐likelihood method for spatial mixed linear models based on intrinsic auto‐regressions. Journal of the Royal Statistical Society: Series B 77(3), 699-726. Link
  12. Dutta, S. and Bhattacharya, S. (2014). Markov chain Monte Carlo based on deterministic transformations. Statistical Methodology,16, 100-116. Link arXivSupplement
  13. Dutta, S. (2012). Multiplicative random walk Metropolis-Hastings on the real line. Sankhya: Series B74(2), 315-342. link
  14. Anis, M. Z. and Dutta, S. (2010). Recent tests of exponentiality against IFR alternatives: a survey. Journal of Statistical Computation and Simulation 80 (12), 1373-1387. Link

Applications in interdisciplinary research

  1. Ghaisas, S., Harischandra, D.S., Palanisamy, B., Proctor, A., Jin, H., Dutta, S., Sarkar, S., Langley, M., Zenitsky, G., Anantharam, V., Kanthasamy, A., Phillips, G. J., and Kanthasamy, A., (2021) Chronic Manganese Exposure and the Enteric Nervous System: An in Vitro and Mouse in Vivo Study. Environmental Health Perspectives129(8), p. 087005. Link
  2. Leonard, S. M., Xin, H., Brown-Brandl, T., Ramirez, B. C.,Johnson, A. K., Dutta, S. & Rohrer, G. A. (2021) Effects of farrowing stall layout and number of heat lamps on sow and piglet behavior. Applied Animal Behavior Science, 239, 105334. Link
  3. Rahman, M. M., Dutta, S., and Lamshal, B. P. (2021) High-power sonication assisted extraction of soy protein from defatted soy meals: Influence of important process parameters. Journal of Food Process Engineering. e13720. Link
  4. Leonard, S. M., Xin, H., Ramirez, B. C., Stinn, J. P., Dutta, S., Liu, K., and Brown-Brandl, T. M. (2021). Static and dynamic space usage of late-gestation sows. Transactions of the ASABE, 64(1), 151-159. Link
  5. Yu, W., Kang, H., Dutta, S., and Gao, H. (2021). Soil microbial community composition and function are closely associated with soil organic matter chemistry along a latitudinal gradient. Geoderma, 383, 114744. Link.
  6. Mondal, S., Dutta, S., Crespo-Herrera, L., Huerta- Espino, J., Braun, H. J. and Singh, R. P. (2020). Fifty years of semi-dwarf spring wheat breeding at CIMMYT: Grain yield progress in optimum, drought and heat stress environments. Field Crops Research, 250, 107757. Link
  7. Leonard, S., Xin, H., Brown-Brandl, T., Ramirez, B., Dutta, S., and Rohrer, G. (2020). Effects of farrowing stall layout and number of heat lamps on sow and piglet production performance. Animals, 10 (2), 348. Link
  8. Ghaisas,S., Langley, M. R., Palanisamy, B. N., Dutta, S., Narayanaswamy, K., Plummer, P. J., Sarkar, S., Ay, M., Huajun, J., Anantharam, V., Kanthasamy, A., Kanthasamy, A. G. (2019). MitoPark Transgenic Mouse Model Recapitulates the Gastrointestinal Dysfunction and Gut- Microbiome Changes of Parkinson’s Disease. Neurotoxicology75, 186-199. Link
  9. Manne, S., Kondru, N., Nichols, T., Lehmkuhl, A., Thomsen, b., Main., R., Halbur, P., Dutta, S., Kanthasamy, A., and Kanthasamy, A. (2017). Ante-mortem Detection of Chronic Wasting Disease Using Recto- anal Mucosa- Associated Lymphoid Tissues from Elk (Cervus elaphus nelson) Using Real-Time Quaking Induced Conversion Assay. Prion11(6), 415-430. Link



  1. Li, D., Dutta, S., and Roy, V. (2020+). Model based screening embedded Bayesian variable selection for ultra-high dimensional settings. arXiv
  2. Pal, S., Dutta, S., and Maitra, R. (2021+) Model-based Personalized Synthetic MR Imaging. arXiv
  3. Wang, R., Dutta, S., and Roy, V. (2021+) Bayesian iterative screening in ultra-high dimensional settings. arXiv
  4. Dai, F., Dorman, K., Dutta, S., and Maitra, R. (2021+) Exploratory Factor Analysis of Data on a Sphere. arXiv