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20142026
most citedA combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes

17 citations · 40 across the 22 of their papers we have counts for

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Showing 2015Show all

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stat.ME2015

A Time-varying Parameter Based Seasonally-adjusted Bayesian State-space Model for Forecasting

Arnab Hazra

In this paper, we develop a time-varying parameter based seasonally-adjusted Bayesian state-space model for non-stationary time series datasets where both the trend and seasonal co…