activity
20162021
most citedPoisson QMLE for change-point detection in general integer-valued time series models

7 citations · 9 across the 6 of their papers we have counts for

collaborators

8 papers

math.ST20211 cited

Epidemic change-point detection in general integer-valued time series

Mamadou Lamine Diop, William Kengne

In this paper, we consider the structural change in a class of discrete valued time series, which the true conditional distribution of the observations is assumed to be unknown. Th…

math.ST2020

Strong consistent model selection for general causal time series

William Kengne

We consider the strongly consistent question for model selection in a large class of causal time series models, including AR(), ARCH(), TARCH(), ARMA-GARCH…

math.ST20207 cited

Poisson QMLE for change-point detection in general integer-valued time series models

Mamadou Lamine Diop, William Kengne

We consider together the retrospective and the sequential change-point detection in a general class of integer-valued time series. The conditional mean of the process depends on a…

math.ST2020

Inference for nonstationary time series of counts with application to change-point problems

William Kengne, Isidore Séraphin Ngongo

We consider an integer-valued time series where the models after a time is Poisson autoregressive with the conditional mean that depends on a parameter $θ^…

math.ST2020

Consistent model selection procedure for general integer-valued time series

Mamadou Lamine Diop, William Kengne

This paper deals with the problem of model selection for a general class of integer-valued time series. We propose a penalized criterion based on the Poisson quasi-likelihood of th…

math.ST2019

Piecewise autoregression for general integer-valued time series

Mamadou Lamine Diop, William Kengne

This paper proposes a piecewise autoregression for general integer-valued time series. The conditional mean of the process depends on a parameter which is piecewise constant over t…