activity
20152025
most citedAutomatic model training under restrictive time constraints

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

collaborators

7 papers

stat.ME2025

A new discrimination measure for assessing predictive performance of non-linear survival models

Alfensi Faruk, Jan Palczewski, Georgios Aivaliotis

Non-linear survival models are flexible models in which the proportional hazard assumption is not required. This poses difficulties in their evaluation. We introduce a new discrimi…

stat.ME2024

Bayesian CART models for aggregate claim modeling

Yaojun Zhang, Lanpeng Ji, Georgios Aivaliotis +1

This paper proposes three types of Bayesian CART (or BCART) models for aggregate claim amount, namely, frequency-severity models, sequential models and joint models. We propose a g…

stat.ML2023

Bayesian CART models for insurance claims frequency

Yaojun Zhang, Lanpeng Ji, Georgios Aivaliotis +1

Accuracy and interpretability of a (non-life) insurance pricing model are essential qualities to ensure fair and transparent premiums for policy-holders, that reflect their risk. I…

stat.ML2021★ 3 cited

Automatic model training under restrictive time constraints

Lukas Cironis, Jan Palczewski, Georgios Aivaliotis

We develop a hyperparameter optimisation algorithm, Automated Budget Constrained Training (AutoBCT), which balances the quality of a model with the computational cost required to t…

q-fin.RM2019★ 1 cited

Dynamic Dependence Modeling in financial time series

Yali Dou, Haiyan Liu, Georgios Aivaliotis

This paper explores the dependence modeling of financial assets in a dynamic way and its critical role in measuring risk. Two new methods, called Accelerated Moving Window method a…

stat.ME2019

On estimation of the effect lag of predictors and prediction in functional linear model

Haiyan Liu, Georgios Aivaliotis, Jeanine Houwing-Duistermaat

We propose a functional linear model to predict a response using multiple functional and longitudinal predictors and to estimate the effect lags of predictors. The coefficient func…

math.PR2015

An HJB Approach to a General Continuous-Time Mean-Variance Stochastic Control Problem

Georgios Aivaliotis, Alexander Yu. Veretennikov

A general continuous mean-variance problem is considered for a diffusion controlled process where the reward functional has an integral and a terminal-time component. The problem i…