Results 91 to 100 of about 1,478,070 (231)
How to optimise tournament draws: The case of the FIFA World Cup
International Transactions in Operational Research, Volume 34, Issue 2, Page 791-821, March 2027.Abstract The organisers of major sports competitions use different policies with respect to constraints in the group draw. Our paper aims to rationalise these choices by analysing the trade‐off between attractiveness (the number of games played by teams from the same geographic zone) and fairness (the departure of the draw mechanism from a uniform ...
László Csató
wiley +1 more source
Environmetrics, Volume 37, Issue 8, December 2026.ABSTRACT A key component for wildfire risk management is predicting when and where fires might happen. We build short‐term (1–4 days ahead) fire occurrence prediction models by adapting the random forest algorithm using an errors in variables approach to account for the inherent forecasting error in short‐term forecasts of fuel moisture.
Zixuan Yang, Douglas G. Woolford
wiley +1 more source
Survey of Fuzzy Set Theory in Actuarial Life Modeling [PDF]
, 2017 This thesis describes Actuarial science and Fuzzy Logic as relatively recent fields of mathematics introducing methods for containing uncertainty and vagueness in the line of business in which it is being used.
Boni, Jean Guy Daniel
core +1 more source
Tail Risk Transmission in Agricultural and Energy Markets
Journal of Futures Markets, Volume 46, Issue 12, Page 1891-1911, December 2026.ABSTRACT This paper examines downside hedging, tail diversification, and extreme tail risk transmission between crude oil and agricultural commodity futures over two decades. We develop complementary indicators of downside dependence, including sign‐switching frequency and persistence, to assess tail risk dynamics, hedging effectiveness, and associated
Emmanuel Senyo Fianu +3 more
wiley +1 more source
Lee-Carter mortality forecasting: methodological and computational issues [PDF]
, 2006 In this thesis we describe relevant aspects of the development of survival modelling in actuarial mathematics. In particular we introduce some recent mortality projection models and research dealing with uncertainty in future trends and we review the ...
Russolillo, Maria
core +1 more source
Bi‐Model Deep Learning Architectures: A Systematic Review of Fusion Strategies and Design Taxonomies
Concurrency and Computation: Practice and Experience, Volume 38, Issue 21, November 2026.ABSTRACT Bi‐model deep learning, the coordinated use of two complementary models or modalities, has emerged as a powerful paradigm for improving predictive accuracy and robustness in complex real‐world applications. However, existing research remains scattered across domain‐specific studies, with no unified account of the architectural patterns, fusion
Jasmin Z. K. Chu +3 more
wiley +1 more source
Predictions of Success in the Actuarial Major [PDF]
, 2016 This study finds predictive factors that have a significant effect on the ending Mathematics/Actuarial GPA of Actuarial majors at Bryant University. This was done to add clarity to incoming students for what it takes to do well in the actuarial major ...
Soojian, Jessica
core
The Role of Variance Risk Premium in Derivative Pricing: Modeling, Estimation and Impact
Journal of Futures Markets, Volume 46, Issue 11, Page 1811-1823, November 2026.ABSTRACT This paper estimates a model where variance risk premiums (VRP) is not fully explained by equity risk premiums (ERP). This separation can be detected thanks to a new breed of GARCH models with enough innovations to disconnect returns from variances. This type of risk‐neutralization is compatible with continuous‐time settings.
Marcos Escobar‐Anel +2 more
wiley +1 more source
BarekengThe disease of the genitourinary system is one of the most common diseases in Indonesia. The disease shows some risk, especially in health and economic aspect.
Kurnia Novita Sari +3 more
doaj +1 more source
Two‐Stage Estimation for Causal Inference Involving Semi‐Continuous Exposures
Statistics in Medicine, Volume 45, Issue 25-27, November 2026.ABSTRACT Methods for causal inference are well developed for binary and continuous exposures, but in many settings, the exposure has a substantial mass at zero—such exposures are called semi‐continuous. We propose a general causal framework for such semi‐continuous exposures, together with a two‐stage estimation strategy.
Xiaoya Wang +7 more
wiley +1 more source