activity
20072026
most citedPeriodic Chandrasekhar recursions

4 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Reclaiming the "frequentist" role of marginal likelihood in Bayesian belief revision

Abdelhakim Aknouche

In modern Bayesian computation and parametric estimation, the marginal likelihood, serving as the denominator P(D) in Bayes' Theorem, is routinely bypassed via unnormalized proport…

math.ST2026

Mixed difference integer-valued GARCH model for -valued time series

Abdelhakim Aknouche, Christian Francq, Yuichi Goto

In this paper, we introduce flexible observation-driven -valued time series models constructed from mixtures of negative and non-negative components. Compared to models…

stat.ME2023

Random multiplication versus random sum: auto-regressive-like models with integer-valued random inputs

Abdelhakim Aknouche, Sonia Gouveia, Manuel Scotto

A common approach to analyze count time series is to fit models based on random sum operators. As an alternative, this paper introduces time series models based on a random multipl…

stat.ME2007★ 4 cited

Periodic Chandrasekhar recursions

Abdelhakim Aknouche, Fayçal Hamdi

This paper extends the Chandrasekhar-type recursions due to Morf, Sidhu, and Kailath "Some new algorithms for recursive estimation in constant, linear, discrete-time systems, IEEE…

math.PR2007★ 4 cited

On some probabilistic properties of periodic GARCH processes

Abdelouahab Bibi, Abdelhakim Aknouche

This paper examines some probabilistic properties of the class of periodic GARCH processes (PGARCH) which feature periodicity in conditional heteroskedasticity. In these models, th…

stat.ME2007

A note on calculating autocovariances of periodic ARMA models

Abdelhakim Aknouche Hacène Belbachir Fayçal Hamdi

An analytically simple and tractable formula for the start-up autocovariances of periodic ARMA (PARMA) models is provided.