Results 51 to 60 of about 27,041,647 (297)
Actuarial statistics with generalized linear mixed models
, 2007 Over the last decade the use of generalized linear models (GLMs) in actuarial statis-tics received a lot of attention, starting from the actuarial illustrations in the stan-dard text by McCullagh & Nelder (1989).
Jan Beirlant +5 more
core +1 more source
Machine and deep learning in present actuarial challenges
, 2022 Machine learning and deep learning present a set of powerful modeling approaches, that in recent years have shown significant improvements across different fields of application.
Kiermayer, Mark Thomas
core +1 more source
ESG Decoupling Phenomenon: A Systematic and Bibliometric Analysis
Business Strategy and the Environment, EarlyView.ABSTRACT ESG decoupling, defined as the gap between a firm's ESG disclosures and its actual practices, poses a critical challenge to corporate sustainability. Using the PRISMA protocol, 451 articles were selected for a comprehensive bibliometric and systematic literature review to map the intellectual structure and thematic evolution of the research on
Maryam Laeeq +2 more
wiley +1 more source
Science and insurance: actuarial science looming
, 2016 La Ciencia Actuarial, como todas las ciencias, atraviesa una serie de periodos hasta su afirmación final como disciplina científica conocida bajo ese nombre.Depto. de Economía Financiera y Actuarial y EstadísticaFac.
Vilar Zanón, José Luis
core +1 more source
Climate Stress Testing on European SME Securitised Loans Under Climate Mitigation Scenarios
Business Strategy and the Environment, EarlyView.ABSTRACT Assessing the future impact of climate risks on the probability of default (PD) of small and medium enterprises (SMEs) is challenging due to limited disclosure, policy uncertainty and exposure to physical risks. This paper addresses this gap by integrating macroeconomic variables from the Network for Greening the Financial System (NGFS ...
Luca Zanin, Raffaella Calabrese
wiley +1 more source
, 2018 We employ survival analysis to investigate throughput rates, and certain demographic and educational factors that exert a significant influence on them, in the Actuarial Science programme at the University of Cape Town. The results contextualise the huge
Ranchod, Shivani, Strugnell, Dave
core +1 more source
Actuarial Science as a Scientific Discipline: The Next Step, British Actuarial Journal [PDF]
, 2005 In consecutive guest editorials for the British Actuarial Journal (BAJ ), Jed Frees and Harry Panjer discussed the importance of scientific journals in actuarial science, and praised the recent emergence of new peer reviewed journals such as the BAJ ...
Lemaire, Jean
core +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Do Research Topics and Abstract Readability Affect Citation Impact in Leading Finance Journals?
Applied Finance LettersThis study examines how research topics and abstract readability influence citation impact in finance journals. Using BERTopic modeling on over 7,000 abstracts from 13 top-tier journals, we identify four core themes—financial markets, banking & credit ...
Zhidan Luo, Yiuman Tse
doaj +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Canadian Journal of Statistics, EarlyView.Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source