activity
20192021
most citedCrop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function

54 citations · 65 across the 3 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2021★ 1 cited

A review of effects of climate change on Agriculture in Africa

Samuel Asante Gyamerah, Dennis Ikpe

Currently, agriculture in Africa contributes only a tenth to global Green House Gas (GHG) emissions from agriculture. Despite its relatively low contribution to GHG, a conundrum of…

math.CA2020

Two critical times for the SIR model

Ryan Hynd, Dennis Ikpe, Terrance Pendleton

We consider the SIR model and study the first time the number of infected individuals begins to decrease and the first time this population is below a given threshold. We interpret…

math.AP2020

An eradication time problem for the SIR model

Ryan Hynd, Dennis Ikpe, Terrance Pendleton

We consider a susceptible, infected, and recovered infectious disease model which incorporates a vaccination rate. In particular, we study the problem of choosing the vaccination r…

q-fin.MF2019★ 10 cited

Hedging crop yields against weather uncertainties -- a weather derivative perspective

Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe

The effects of weather on agriculture in recent years have become a major global concern. Hence, the need for an effective weather risk management tool (i.e., weather derivatives)…

stat.AP2019★ 54 cited

Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function

Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe

A reliable and accurate forecasting model for crop yields is of crucial importance for efficient decision-making process in the agricultural sector. However, due to weather extreme…