4 citations · 5 across the 6 of their papers we have counts for
6 papers
Classification problem in liability insurance using machine learning models: a comparative study
Marjan Qazvini
Underwriting is one of the important stages in an insurance company. The insurance company uses different factors to classify the policyholders. In this study, we apply several mac…
Forecasting Mortality in the Middle-Aged and Older Population of England: A 1D-CNN Approach
Marjan Qazvini
Convolutional Neural Networks (CNNs) are proven to be effective when data are homogeneous such as images, or when there is a relationship between consecutive data such as time seri…
Analysis of ELSA COVID-19 Substudy response rate using machine learning algorithms
Marjan Qazvini
National Statistical Organisations every year spend time and money to collect information through surveys. Some of these surveys include follow-up studies, and usually, some partic…
Forecasting the levels of disability in the older population of England: Application of neural nets
Marjan Qazvini
Deep neural networks are powerful tools for modelling non-linear patterns and are very effective when the input data is homogeneous such as images and texts. In recent years, there…
The Impact of Oil and Gold Prices Shock on Tehran Stock Exchange: A Copula Approach
Amir T. Payandeh Najafabadi, Marjan Qazvini, Reza Ofoghi
There are several researches that deal with the behavior of SEs and their relationships with different economical factors. These range from papers dealing with this subject through…
On risk models with dependence
Marjan Qazvini
In this paper we consider the classical and Erlang(2) risk processes when the inter-claim times and claim amounts are dependent. We assume that the dependence structure is defined…