46 citations · 84 across the 11 of their papers we have counts for
15 papers
Model Predictive Control For Multiple Castaway Tracking with an Autonomous Aerial Agent
Andreas Anastasiou, Savvas Papaioannou, Panayiotis Kolios +1
Over the past few years, a plethora of advancements in Unmanned Areal Vehicle (UAV) technology has paved the way for UAV-based search and rescue operations with transformative impa…
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross-covariances under non-stationarity and stationarity
Andreas Anastasiou, Tobias Kley
The autocovariance and cross-covariance functions naturally appear in many time series procedures (e.g., autoregression or prediction). Under assumptions, empirical versions of the…
Generalized multiple change-point detection in the structure of multivariate, possibly high-dimensional, data sequences
Andreas Anastasiou, Angelos Papanastasiou
The extensive emergence of big data techniques has led to an increasing interest in the development of change-point detection algorithms that can perform well in a multivariate, po…
Automated Detection of Short-term Slow Slip Events in Southwest Japan
Yiming Ma, Andreas Anastasiou, Fabien Montiel
Inferring from the occurrence pattern of slow slip events (SSEs) the probability of triggering a damaging earthquake within the nearby velocity weakening portion of the plate inter…
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
Andreas Anastasiou, Alessandro Barp, François-Xavier Briol +11
Stein's method compares probability distributions through the study of a class of linear operators called Stein operators. While mainly studied in probability and used to underpin…
Modeling of Covid-19 Pandemic in Cyprus
Sergios Agapiou, Andreas Anastasiou, Anastassia Baxevani +6
The Republic of Cyprus is a small island in the southeast of Europe and member of the European Union. The first wave of COVID-19 in Cyprus started in early March, 2020 (imported ca…
Wasserstein distance error bounds for the multivariate normal approximation of the maximum likelihood estimator
Andreas Anastasiou, Robert E. Gaunt
We obtain explicit -Wasserstein distance error bounds between the distribution of the multi-parameter MLE and the multivariate normal distribution. Our general bounds are given…
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
Andreas Anastasiou, Krishnakumar Balasubramanian, Murat A. Erdogdu
We provide non-asymptotic convergence rates of the Polyak-Ruppert averaged stochastic gradient descent (SGD) to a normal random vector for a class of twice-differentiable test func…
Detecting multiple generalized change-points by isolating single ones
Andreas Anastasiou, Piotr Fryzlewicz
We introduce a new approach, called Isolate-Detect (ID), for the consistent estimation of the number and location of multiple generalized change-points in noisy data sequences. Exa…
Bounds for the asymptotic distribution of the likelihood ratio
Andreas Anastasiou, Gesine Reinert
In this paper we give an explicit bound on the distance to chisquare for the likelihood ratio statistic when the data are realisations of independent and identically distributed ra…
Bounds for the normal approximation of the maximum likelihood estimator from m-dependent random variables
Andreas Anastasiou
The asymptotic normality of the Maximum Likelihood Estimator (MLE) is a long established result. Explicit bounds for the distributional distance between the distribution of the MLE…
Multivariate normal approximation of the maximum likelihood estimator via the delta method
Andreas Anastasiou, Robert E. Gaunt
We use the delta method and Stein's method to derive, under regularity conditions, explicit upper bounds for the distributional distance between the distribution of the maximum lik…
Assessing the multivariate normal approximation of the maximum likelihood estimator from high-dimensional, heterogeneous data
Andreas Anastasiou
The asymptotic normality of the maximum likelihood estimator (MLE) under regularity conditions is a cornerstone of statistical theory. In this paper, we give explicit upper bounds…
Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method
Andreas Anastasiou, Christophe Ley
The asymptotic normality of the Maximum Likelihood Estimator (MLE) is a cornerstone of statistical theory. In the present paper, we provide sharp explicit upper bounds on Zolotarev…
Bounds for the normal approximation of the maximum likelihood estimator
Andreas Anastasiou, Gesine Reinert
While the asymptotic normality of the maximum likelihood estimator under regularity conditions is long established, this paper derives explicit bounds for the bounded Wasserstein d…