Guha, S., and Chandra, H. (2024). Small area estimation under a spatially correlated multivariate area-level model, Journal of the Royal Statistical Society Series A: Statistics in Society, 187(1), 62-84.
Deo, V., Gurewitsch, R., Guha, S., Ray, M., Pyne, S. (2024). Analysis of Spatial and Temporal Patterns in Deaths of Despair in the Appalachian Region of the United States, Statistics and Applications, 22(3), 555-573.
Guha, S.; Alonzo, M., Goovaerts, P., Brink, L.L., Ray, M., Bear, T., Pyne, S. (2024). Disaggregation of Green Space Access, Walkability, and Behavioral Risk Factor Data for Precise Estimation of Local Population Characteristics. International Journal of Environmental Research and Public Health, 21(6), 771.
Stacy, S. L., Chandra, H., Guha, S., Gurewitsch, R., LuAnn L. B, Linda B. R, David O. W, Jian-Min Y, and Pyne, S. (2023). Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data, BMC Public Health, 23(1), 184.
Pyne, S., Guha, S., Das, S., Ray, M. and Chandra, H. (2023). Food insecurity in the Eastern Indo-Gangetic plain: Taking a closer look, Plos One, 18(1): e0279414.
Guha, S., Das, S., Baffour, B. and Chandra, H. (2023). Multivariate small area modelling of undernutrition prevalence among under-five children in Bangladesh, The International Journal of Biostatistics, 19(1), 191-215.
Guha, S. and Chandra, H. (2022). Measuring and mapping micro level earning inequality towards addressing the sustainable development goals: a multivariate small area modelling approach, Journal of Official Statistics, 38(3), 823-845.
Guha, S. and Chandra, H. (2022). Multivariate small area modelling of disaggregate level earning disparities: evidence from periodic labour force survey data of India, Social Indicators Research, 162, 643-663.
Guha, S. and Chandra, H. (2021). Measuring disaggregate level food insecurity via multivariate small area modelling: evidence from rural districts of Uttar Pradesh, India, Food Security, 13(3), 597-615.
Guha, S. and Chandra, H. (2021). Measuring and mapping disaggregate level disparities in food consumption and nutritional status via multivariate small area modelling, Social Indicators Research, 154(2), 623-646.
Guha, S. and Chandra, H. (2021). Improved estimation of finite population mean in two-phase sampling with subsampling of the nonrespondents, Mathematical Population Studies, 28(1), 24-44.
Guha, S. and Chandra, H. (2020). Improved chain ratio type estimator for population total in double sampling, Mathematical Population Studies, 27(4), 216-231.
Chandra, H., Aditya, K., Gupta, S., Guha, S. and Verma, B. (2020). Food and nutrition in the Indo-Gangetic Plain region - a disaggregate level analysis, Current Science, 119(11), 1783-1788.
Islam, S., Chandra, H., Sud, U. C., Guha, S. and Basak, P. (2019). Calibration approach for estimation of population ratio under double sampling, Journal of the Indian Society of Agricultural Statistics, 73(1),19-25.
Guha, S., Sud U. C. and Chandra, H. (2018). Calibration approach-based chain ratio type and chain product type estimators in two-phase sampling involving two auxiliary variables, Journal of Statistical Theory and Practice, 12(2), 188-205.
Guha, S., Sud, U.C. and Sisodia, B.V.S. (2018). Calibration approach based chain ratio-product type estimator involving two auxiliary variables in two phase sampling, Journal of the Indian Society of Agricultural Statistics, 72(3), 179-186.
Chandra, H., Salvati, N., Chambers, R. and Guha, S. (2021). NSAE: Nonstationary Small Area Estimation. R package version 0.4.0.
Guha, S., Petersen, A., Ray, S. and Pyne, S. (2023). On Rao’s Weighted Distributions for Modeling the Dynamics of Wildfires and Air Pollution. In: Bapat, R.B., Karantha, M.P., Kirkland, S.J., Neogy, S.K., Pati, S., Puntanen, S. (eds) Applied Linear Algebra, Probability and Statistics. Indian Statistical Institute Series. Springer, Singapore. https://doi.org/10.1007/978-981-99-2310-6_18
Guha, S., Chandra, H. and Sud, U.C. (2015). Outliers Robust Generalized Regression Estimators for Finite Population Total. In: Sud U.C, Chandra, H., Bhar, L.M. and Sarkar S. (eds) Statistics and Informatics in Agricultural Research, page 183-193, ISBN: 978-93-84869-98-4, Excel India Publication, New Delhi.
Guha, S., Pyne, S. Multiscale geographically weighted regression with behavioral risk factor surveillance system data of Allegheny County, Pennsylvania.
Guha, S., Pyne, S. Parsad, R. Data fusion for small area estimation of lead water contamination in Pittsburgh, Pennsylvania.
Guha, S., Das, S., Baffour, B. and Pyne, S. Multilevel Bayesian time series modelling of labour force indicators in India.
Baffour, B., Das, S., Guha, S. and Richardson, A. Revisiting non-stationary spatial models for small area estimation of smoking prevalence in Australia.
Hossain, M.J., Das, S. and Guha, S. Urban-rural disparities in the use of antenatal care service at disaggregated administrative units in Bangladesh: An application of Bayesian hierarchical spatial models for small area estimation.
Guha, S., Chandra, H. and Kumar, R. Measuring micro level disparities in nutritional intake via small area modelling linking household consumer expenditure survey and population census data.