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A Semiparametric Generalized Exponential Regression Model with a Principled Distance-based Prior for Analyzing Trends in Rainfall

, 1900

In this paper, we analyzed of precipitation data in the Western Ghats region from 1901 to 2022 by developing a semiparametric GE regression model that extends the GE distribution to a regression setting. We also constructed a novel class of penalized complexity prior for the shape parameter of the GE distribution.

Recommended citation: Dey, A. and Hazra, A. (2025+). A Semiparametric Generalized Exponential Regression Model with a Principled Distance-based Prior for Analyzing Trends in Rainfall.
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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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