A Bayesian approach to inference and prediction for spatially correlated count data based on Gaussian copula model
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作者:
Fang, Yan
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School of Finance, Shanghai University of International Business and Economics, Shanghai,201620, ChinaSchool of Finance, Shanghai University of International Business and Economics, Shanghai,201620, China
Fang, Yan
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[1] School of Finance, Shanghai University of International Business and Economics, Shanghai,201620, China
机构:
Univ Toronto Mississauga, Dept Math & Computat Sci, Mississauga, ON L5L 1C6, CanadaUniv Toronto Mississauga, Dept Math & Computat Sci, Mississauga, ON L5L 1C6, Canada
Al-Labadi, Luai
Asl, Forough Fazeli
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Isfahan Univ Technol, Dept Math Sci, Esfahan, IranUniv Toronto Mississauga, Dept Math & Computat Sci, Mississauga, ON L5L 1C6, Canada
Asl, Forough Fazeli
Saberi, Zahra
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Isfahan Univ Technol, Dept Math Sci, Esfahan, IranUniv Toronto Mississauga, Dept Math & Computat Sci, Mississauga, ON L5L 1C6, Canada