Correction to Bhadra, A., Ionides, E. L., Laneri, K., Pascual, M., Bouma, M. and Dhiman, R. C. (2011). Malaria in Northwest India: Data analysis via partially observed stochastic differential equation models driven by Levy noise. Journal of the American Statistical Association 106 440-451. http://dx.doi.org/10.1198/jasa.2011.ap10323.
September 3, 2025.
Equation (8) should read to be consistent with (7). If were differentiable, this follows by writing (7) as nested convolutions of exponential densities with rate , and applying the Leibniz rule for integration under the integral sign. Since is a jump process, is interpreted via a sum of Dirac delta functions at jump times, but the argument remains essentially the same.
The code is implemented correctly to be consistent with Equation (7).
Equations (8) and (9) are represented in the code with nT=2
stages as
dT1dt = (lambda * dgammadt-T1)*nT/tau;
dmudt = (T1-mu)*nT/tau;
The numerical solution is coded to make an Euler approximation to the Gamma noise,
dgammadt=rgamma(dt/(sigSE*sigSE),(sigSE*sigSE)/dt);
We thank Hannes Kühnert for pointing out this issue.