Results 31 to 40 of about 1,076 (154)
The article highlights the influence of the equity factor in the insurance industry on the example of the age and driving experience coefficient development in the motor third-party liability insurance (MTPL).
A. A. Tsyganov +3 more
doaj +1 more source
Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
core +1 more source
Assessment of the state and financial performance of the Ukrainian insurance market
The insurance market ensures the redistribution of risks in the economy, creates an environment favorable for the development of entrepreneurship, and reduces the level of risks in society.
V. Bratiuk, M. Petrychko, A. Polak
doaj +1 more source
Enhancing coverage and reducing power consumption in peer-to-peer networks through airborne relaying [PDF]
Over the years peer-to-peer (P2P) multi-hop relays have been studied for mobile ad-hoc networks (MANETs) to overcome poor signal coverage and to improve connectivity.
Feng, Q, McGeehan, JP, Nix, AR
core +2 more sources
We analyze a novel dataset collecting the driving behavior of young policyholders in a motor third party liability (MTPL) portfolio, followed over a period of three years.
Roel Henckaerts, Katrien Antonio
semanticscholar +1 more source
Injection molding (IM) is an ideal technique for the low-cost mass production of moderately thick plane lenses (MTPLs). However, the optical performance of injection molded MTPL is seriously degraded by the warpage and sink marks induced during the ...
Feng Liu, Jianjun Pang, Zhiwei Xu
semanticscholar +1 more source
Exploring the Use of Mobile Technologies and Process Logs in Writing Research
The present article explores and evaluates a method that makes use of mobile technologies as tools in combination with process logs to study writing (the Mobile Technologies combined with Process Logs (MTPL) method).
Sofia Hort
doaj +1 more source
Sparse Regression with Multi-type Regularized Feature Modeling
Within the statistical and machine learning literature, regularization techniques are often used to construct sparse (predictive) models. Most regularization strategies only work for data where all predictors are treated identically, such as Lasso ...
Antonio, Katrien +3 more
core +1 more source
THE DEFENSE OF CONSUMER INTERESTS, DUE TO THE F.S.A. DECISION NO. 1148/17.09.2021 [PDF]
The Romanian insurance market is an extremely complex area of legal regulation, which involves not only compliance with the principle of fair competition between professional competitors, competitors on the market, but especially compliance with high ...
Constantin Claudiu ULARIU
doaj
On the Validation of Claims with Excess Zeros in Liability Insurance: A Comparative Study
In this study, we consider the problem of zero claims in a liability insurance portfolio and compare the predictability of three models. We use French motor third party liability (MTPL) insurance data, which has been used for a pricing game, and show ...
Marjan Qazvini
doaj +1 more source

