Results 71 to 80 of about 14,724 (294)

Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint

Applied Computational Intelligence and Soft Computing
While analyzing health data is important for improving health outcomes, class imbalance in datasets poses major challenges to machine learning classification models.
Edmund Fosu Agyemang, Joseph Agyapong Mensah, Eric Nyarko, Dennis Arku, Benedict Mbeah-Baiden, Enock Opoku, Ezekiel Nii Noye Nortey   +6 more
doaj   +1 more source

On the Sine Inverse Lomax Burr III Distribution with Application to Monthly Actual Tax Revenue Data

Stats
Advances in probability distributions are important for modelling complex data across fields such as actuarial science, environmental science, biomedical science, economics, finance, and insurance.
Anuwoje Ida. L. Abonongo, John Abonongo, Samuel Asante Gyamerah   +2 more
doaj   +1 more source

Children 'in need of care' or in need of cash? Questioning social security provisions for orphans in the context of the South African AIDS pandemic

, 2003
Joint working paper of the Children's Institute and Centre for Actuarial Research, University of Cape ...
Budlender, Debbie, Giese, Sonja, Meintjes, Helen, Johnson, Leigh   +3 more
core  

Machine Learning in Nested Simulations Under Actuarial Uncertainty

, 2021
The Solvency II directive states that in order to be solvent the insurance undertakings must to hold eligible own funds covering the Solvency Capital Requirement (SCR), which is defined as the Value-at-Risk of the NAV probability distribution (PDF in the
Francesca Perla, Paolo Zanetti, Scognamiglio, Salvatore, Fiore, Ugo, Gilberto Castellani, Ugo Fiore, Passalacqua, Luca, Luca Passalacqua, Marino, Zelda, Zanetti, Paolo, Castellani, Gilberto, Perla, Francesca, Zelda Marino, Salvatore Scognamiglio   +13 more
core   +1 more source

Overcoming Barriers and Solutions for Catalysing Private Capital in Climate Adaptation: A Stakeholder‐Informed Agenda for Hong Kong's Intermediary Role in Southeast Asia

Sustainable Development, EarlyView.
ABSTRACT This study investigates stakeholder perspectives on mobilising private‐sector finance for climate adaptation in Southeast Asia, emphasising Hong Kong's role as a financial intermediary. Through semi‐structured interviews with diverse stakeholders, including practitioners, policymakers, insurers, and project developers, we employed a grounded ...
Laurence L. Delina, Felice Janice Olivia Boedijanto, Sharon Feliza Ann P. Macagba, Johanne Rei R. Castro, Rainbow Yi Hung Lam   +4 more
wiley   +1 more source

Chapman & Hall/CRC Series in Actuarial Science

I am now part of the editorial team in charge of the Chapman & Hall/CRC Series in Actuarial Science, with Montserrat Guillén, Steven Haberman, Edward W.
Arthur Charpentier
core   +1 more source

Advancing SDG 13 and Net‐Zero Emissions in Europe: The Role of Green Technology Innovation, Renewable Energy, Environmental Taxation and Trade Openness

Sustainable Development, EarlyView.
ABSTRACT The European Union (EU) has set ambitious climate goals, aiming to become the first climate‐neutral continent by 2050, with a focus on achieving net‐zero emissions and advancing United Nations Sustainable Development Goal (SDG) 13. A key component of this transition is the role of green technological innovation, the deployment of clean energy ...
Yue Xu, Emma Serwaa Obobisa, Isaac Adjei Mensah   +2 more
wiley   +1 more source

Exploring Multivariate Copula Models and Fuzzy Interest Rates in Assessing Family Annuity Products

JTAM (Jurnal Teori dan Aplikasi Matematika)
This research explores the development of a reversionary annuity product transformed into a family annuity covering three individuals: husband, wife, and children.
Kurnia Novita Sari, Ady Febrisutisyanto, Randi Deautama, Nursiti Azirah, Pida Mahani   +4 more
doaj   +1 more source

Machine Learning in Actuarial Science and Insurance

, 2020
This week is organized the summer school on machine learning for economists and applied social scientists. I will be giving an (online) lecture this Thursday, on Machine Learning in Actuarial Science & Insurance, with a great program, 10am - 10:55am :
Arthur Charpentier
core  

Who Takes High‐Earning CTE Pathways?

Southern Economic Journal, EarlyView.
ABSTRACT Wage gaps across demographic groups in the U.S. labor market are well documented. A key question is the degree to which group‐based sorting into high‐ versus low‐paying occupations reflects underlying preferences, versus structural barriers or prior educational experiences.
Celeste K. Carruthers, Shaun Dougherty, Thomas Goldring, Daniel Kreisman, Roddy Theobald, Carly Urban, Jesús Villero   +6 more
wiley   +1 more source