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On smoothness properties of spatial processes

Banerjee, S.; Gelfand, A. E. - In: Journal of Multivariate Analysis 84 (2003) 1, pp. 85-100

For inferential analysis of spatial data, probability modelling in the form of a spatial stochastic process is often adopted. In the univariate case, a realization of the process is a surface over the region of interest. The specification of the process has implications for the smoothness of...

Persistent link: https://www.econbiz.de/10005199513

A NEW CLASS OF IMPROVED ESTIMATORS OF A MULTINORMAL PRECISION MATRIX

Dey, D. K.; Ghosh, M.; Srinivasan, C. - In: Statistics & Decisions 8 (1990) 2, pp. 141-152

Persistent link: https://www.econbiz.de/10014621702

ON THE ADMISSIBILITY OF THE LINEAR ESTIMATORS OF THE POISSON MEAN USING LINEX LOSS FUNCTIONS

Kuo, L.; Dey, D. K. - In: Statistics & Decisions 8 (1990) 3, pp. 201-210

Persistent link: https://www.econbiz.de/10014621709

Investigating the impact of customer stochasticity on firm price discrimination strategies using a new Bayesian mixture scale heterogeneity model

Pancras, Joseph; Wang, Xia; Dey, Dipak - In: Marketing letters : a journal of research in marketing 27 (2016) 3, pp. 537-552

Persistent link: https://www.econbiz.de/10011537280

Discrete-response state space models with conditional heteroscedasticity : an application to forecasting the federal funds rate target

Dimitrakopoulos, Stefanos; Dey, Dipak - In: Economics letters 154 (2017), pp. 20-23

Persistent link: https://www.econbiz.de/10011810690

Spatial Tweedie exponential dispersion models : an application to insurance rate-making

Halder, Aritra; Mohammed, Shariq; Chen, Kun; Dey, Dipak - In: Scandinavian actuarial journal 2021 (2021) 10, pp. 1017-1036

Persistent link: https://www.econbiz.de/10012696901