| Multivariate spatial modeling for geostatistical data using convolved covariance functions A Majumdar, AE Gelfand Mathematical Geology 39, 225-245, 2007 | 136 | 2007 |
| Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis S Bekiros, R Gupta, A Majumdar Finance Research Letters 18, 291-296, 2016 | 110 | 2016 |
| Forecasting aggregate retail sales: The case of South Africa GC Aye, M Balcilar, R Gupta, A Majumdar International Journal of Production Economics 160, 66-79, 2015 | 101 | 2015 |
| Hierarchical Bayesian scaling of soil properties across urban, agricultural, and desert ecosystems JP Kaye, A Majumdar, C Gries, A Buyantuyev, NB Grimm, D Hope, ... Ecological Applications 18 (1), 132-145, 2008 | 67 | 2008 |
| Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach R Gupta, A Majumdar, C Pierdzioch, ME Wohar The Quarterly Review of Economics and Finance 65, 276-284, 2017 | 35 | 2017 |
| Comparing the forecasting ability of financial conditions indices: The case of South Africa M Balcilar, R Gupta, R Van Eyden, K Thompson, A Majumdar The Quarterly Review of Economics and Finance 69, 245-259, 2018 | 29 | 2018 |
| Spatio-temporal change-point modeling A Majumdar, AE Gelfand, S Banerjee Journal of Statistical Planning and Inference 130 (1-2), 149-166, 2005 | 29 | 2005 |
| Gradients in spatial response surfaces with application to urban land values A Majumdar, HJ Munneke, AE Gelfand, S Banerjee, CF Sirmans Journal of Business & Economic Statistics 24 (1), 77-90, 2006 | 25 | 2006 |
| A generalized convolution model for multivariate nonstationary spatial processes A Majumdar, D Paul, D Bautista Statistica Sinica, 675-695, 2010 | 24 | 2010 |
| Bivariate zero-inflated regression for count data: A Bayesian approach with application to plant counts A Majumdar, C Gries The international journal of biostatistics 6 (1), 2010 | 19 | 2010 |
| Carbon lost and carbon gained: a study of vegetation and carbon trade‐offs among diverse land uses in P hoenix, Arizona MR McHale, SJ Hall, A Majumdar, NB Grimm Ecological Applications 27 (2), 644-661, 2017 | 17 | 2017 |
| Hierarchical spatial modeling and prediction of multiple soil nutrients and carbon concentrations A Majumdar, J Kaye, C Gries, D Hope, N Grimm Communications in Statistics—Simulation and Computation® 37 (2), 434-453, 2008 | 17 | 2008 |
| Automated pattern recognition to support geological mapping and exploration target generation–A case study from southern Namibia D Eberle, D Hutchins, S Das, A Majumdar, H Paasche Journal of African Earth Sciences 106, 60-74, 2015 | 13 | 2015 |
| The role of current account balance in forecasting the US equity premium: evidence from a quantile predictive regression approach R Gupta, A Majumdar, ME Wohar Open Economies Review 28, 47-59, 2017 | 12 | 2017 |
| Forecasting US real house price returns over 1831–2013: evidence from copula models R Gupta, A Majumdar Applied Economics 47 (48), 5204-5213, 2015 | 12 | 2015 |
| Was the recent downturn in US real GDP predictable? M Balcilar, R Gupta, A Majumdar, SM Miller Applied Economics 47 (28), 2985-3007, 2015 | 12 | 2015 |
| Reconsidering the welfare cost of inflation in the US: a nonparametric estimation of the nonlinear long-run money-demand equation using projection pursuit regressions R Gupta, A Majumdar Empirical Economics 46, 1221-1240, 2014 | 12 | 2014 |
| Forecasting Nevada gross gaming revenue and taxable sales using coincident and leading employment indexes M Balcilar, R Gupta, A Majumdar, SM Miller Empirical Economics 44, 387-417, 2013 | 11 | 2013 |
| Geopolitical risks and the high-frequency movements of the US term structure of interest rates R Gupta, A Majumdar, J Nel, S Subramaniam Annals of Financial Economics 16 (03), 2150012, 2021 | 9 | 2021 |
| Zero expectile processes and Bayesian spatial regression A Majumdar, D Paul Journal of Computational and Graphical Statistics 25 (3), 727-747, 2016 | 9 | 2016 |
Rangan GuptaUniversity of PretoriaVerified email at up.ac.za
