Anandamayee Majumdar
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Multivariate spatial modeling for geostatistical data using convolved covariance functions
A Majumdar, AE Gelfand
Mathematical Geology 39 (2), 225-245, 2007
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
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
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
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 (4), 1221-1240, 2014
Spatio-temporal change-point modeling
A Majumdar, AE Gelfand, S Banerjee
Journal of Statistical Planning and Inference 130 (1-2), 149-166, 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
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
A generalized convolution model for multivariate nonstationary spatial processes
A Majumdar, D Paul, D Bautista
Statistica Sinica, 675-695, 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
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
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 (2), 387-417, 2013
Was the recent downturn in US real GDP predictable?
M Balcilar, R Gupta, A Majumdar, SM Miller
Applied Economics 47 (28), 2985-3007, 2015
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
Spatial modeling for multivariate environmental data using convolved covariance functions
A Majumdar, AE Gelfand
Technical Report Institute of Statistics and Decision Sciences, Duke …, 2006
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
Predicting stock market movements with a time-varying consumption-aggregate wealth ratio
T Chang, R Gupta, A Majumdar, C Pierdzioch
International Review of Economics & Finance 59, 458-467, 2019
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 (1), 47-59, 2017
Analysis of bivariate zero inflated count data with missing responses
M Yang, K Das, A Majumdar
Journal of Multivariate Analysis 148, 73-82, 2016
A non-stationary spatial generalized linear mixed model approach for studying plant diversity
A Majumdar, C Gries, J Walker
Journal of Applied Statistics 38 (9), 1935-1950, 2011
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