activity
20192026
most citedStationarity and Moment Properties of some Multivariate Count Autoregressions

4 citations · 8 across the 8 of their papers we have counts for

collaborators

8 papers

math.ST2026

Uniform Gaussian Approximation for The Quasi-Likelihood Estimator for a Weakly Dependent Nonlinear Time Series Models

Zinsou Max Debaly, Arsene Brice Zotsa-Ngoufack

We study estimation and inference for a semiparametric class of time series models that specify only the conditional expectation, which is a known link function applied to a linear…

stat.ME2025

Learning Centre Partitions from Summaries

Zinsou Max Debaly, Jean-Francois Ethier, Michael H. Neumann +1

Multi-centre studies increasingly rely on distributed inference, where sites share only centre-level summaries. Homogeneity of parameters across centres is often violated, motivati…

math.ST2023

Mixing properties of nonstationary multivariate count processes

Zinsou Max Debaly, Michael H. Neumann, Lionel Truquet

We prove absolute regularity (-mixing) for nonstationary and multivariate versions of two popular classes of integer-valued processes. We show how this result can be used to pro…

stat.ME2023★ 3 cited

Adjacent-category models for ordinal time series and their application to climate-dependent spruce budworm defoliation dynamics

Olaloudé Judicaël Franck Osse, Zinsou Max Debaly, Philippe Marchandb +1

This work proposes an adjacent-category autoregressive model for time series of ordinal variables. We apply this model to dendrochronological records to study the effect of climate…

stat.ME2022

Autoregressive models for time series of random sums of positive variables: application to tree growth as a function of climate and insect outbreaks

Zinsou Max Debaly, Philippe Marchand, Miguel Montoro Girona

We present a broad class of semi-parametric models for time series of random sums of positive variables. Our methodology allows the number of terms inside the sum to be time-varyin…

stat.ME2021

Multivariate time series models for mixed data

Zinsou Max Debaly, Lionel Truquet

We introduce a general approach for modeling the dynamic of multivariate time series when the data are of mixed type (binary/count/continuous). Our method is quite flexible and con…

math.ST2019★ 4 cited

Stationarity and Moment Properties of some Multivariate Count Autoregressions

Zinsou Max Debaly, Lionel Truquet

We study stationarity and moments properties of some count time series models from contraction and stability properties of iterated random maps. Both univariate and multivariate pr…

math.ST2019★ 1 cited

Iterations of dependent random maps and exogeneity in nonlinear dynamics

Max Zinsou Debaly, Lionel Truquet

We discuss existence and uniqueness of stationary and ergodic nonlinear autoregressive processes when exogenous regressors are incorporated in the dynamic. To this end, we consider…