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TV series such as HBO's Game of Thrones have seen a high number of dedicated followers, mostly due to the dramatic murders of the most important characters. In our work, we try to predict killer and victim pairs using data about previous…

Social and Information Networks · Computer Science 2020-08-31 Jaka Stavanja , Matej Klemen , Lovro Šubelj

TV dramas constitute an important part of the entertainment industry, with popular shows attracting millions of viewers and resulting in significant revenues. Finding a way to explore formally the social dynamics underpinning these show has…

Social and Information Networks · Computer Science 2018-12-27 Dianbo Liu , Luca Albergante

This paper analyzes how candidate choice prediction improves by different psychological predictors. To investigate this question, it collected an original survey dataset featuring the popular TV series "Game of Thrones". The respondents…

Computers and Society · Computer Science 2020-03-18 Chaehan So

Worldwide, many millions of people die suddenly and unexpectedly each year, either with or without a prior history of cardiovascular disease. Such events are sparse (once in a lifetime), many victims will not have had prior investigations…

Machine Learning · Computer Science 2023-09-06 Yola Jones , Fani Deligianni , Jeff Dalton , Pierpaolo Pellicori , John G F Cleland

Cohort effects are important factors in determining the evolution of human mortality for certain countries. Extensions of dynamic mortality models with cohort features have been proposed in the literature to account for these factors under…

Statistical Finance · Quantitative Finance 2019-02-20 Man Chung Fung , Gareth W. Peters , Pavel V. Shevchenko

In recent years, improvements in all-cause mortality rates and life expectancies for males and females in England and Wales have slowed down. In this paper, cause-specific mortality data for England and Wales from 2001 to 2018 are used to…

Applications · Statistics 2022-10-25 Alexander M. T. L. Yiu , Torsten Kleinow , George Streftaris

Fatalities resulting from violence in armed conflict have long been a significant public health issue in Ethiopia. Despite the severity of this problem, more comprehensive quantitative scientific studies need to be conducted to elucidate…

Applications · Statistics 2025-11-18 Osafu Augustine Egbon , Asrat Mekonnen Belachew , Ezra Gayawan , Francisco Louzada

Recently we developed a new framework in Hirz et al (2015) to model stochastic mortality using extended CreditRisk$^+$ methodology which is very different from traditional time series methods used for mortality modelling previously. In this…

Computational Finance · Quantitative Finance 2015-07-28 Pavel V. Shevchenko , Jonas Hirz , Uwe Schmock

Social network analysis and machine learning have found countless applications in recent years. As an example, this short project was carried out in 2017 and was followed by some media attention, with the following goal: to bring network…

Social and Information Networks · Computer Science 2021-10-20 Milan Janosov

In China, stroke is the first leading cause of death in recent years. It is a major cause of long-term physical and cognitive impairment, which bring great pressure on the National Public Health System. Evaluation of the risk of getting…

Machine Learning · Computer Science 2021-06-02 Junjie Liu , Yiyang Sun , Jing Ma , Jiachen Tu , Yuhui Deng , Ping He , Huaxiong Huang , Xiaoshuang Zhou , Shixin Xu

The risk of dying increases exponentially with age, in humans as well as in many other species. This increase is often attributed to the "accumulation of damage" known to occur in many biological structures and systems. The aim of this…

Populations and Evolution · Quantitative Biology 2020-07-01 Anders Ledberg

The stochastic system approach to causality is applied to situations where the risk of death is not negligible. This approach grounds causality on physical laws, distinguishes system and observation and represents the system by multivariate…

Methodology · Statistics 2016-10-07 Daniel Commenges

The UK Biobank is a large-scale health resource comprising genetic, environmental and medical information on approximately 500,000 volunteer participants in the UK, recruited at ages 40--69 during the years 2006--2010. The project monitors…

Applications · Statistics 2021-03-16 Malka Gorfine , Nir Keret , Asaf Ben Arie , David Zucker , Li Hsu

We introduce an innovative methodology to identify football players at the origin of threatening actions in a team. In our framework, a threat is defined as entering the opposing team's danger area. We investigate the timing of threat…

Applications · Statistics 2025-02-06 Ali Baouan , Sébastien Coustou , Mathieu Lacome , Sergio Pulido , Mathieu Rosenbaum

A large percentage of the deaths from COVID-19 occur among residents of long-term care facilities. There are two possible reasons for this phenomenon. First, the structural features of such settings may lead to death. Alternatively, it is…

Physics and Society · Physics 2020-06-29 Neil Gandal , Matan Yonas , Michal Feldman , Ady Pauzner , Avraham Tabbach

Objective: Cause-of-death distributions are important for prioritising interventions. We estimated proportions, risks, and numbers of deaths (with uncertainty) for programme-relevant causes of neonatal death for 194 countries for 2000-2013,…

Applications · Statistics 2014-11-17 Shefali Oza , Joy E Lawn , Daniel R Hogan , Colin Mathers , Simon Cousens

Prostate cancer is one of the leading causes of cancer-related mortality among men in the U.S. We examined the role of neighborhood obesogenic attributes on prostate cancer risk and mortality in the Southern Community Cohort Study (SCCS).…

Quantitative Methods · Quantitative Biology 2024-05-30 Fekede Asefa Kumsa , Jay H. Fowke , Soheil Hashtarkhani , Brianna M. White , Martha J. Shrubsole , Arash Shaban-Nejad

Treatment of cancer involves heterogeneous, complex care pathways. The relationship between these longitudinal trajectories, baseline mental health, and prognostic outcomes remains poorly understood. We introduce an interpretable…

All-cause mortality is a very coarse grain, albeit very reliable, index to check the health implications of lifestyle determinants, systemic threats and socio-demographic factors. In this work we adopt a statistical-mechanics approach to…

Populations and Evolution · Quantitative Biology 2023-01-04 Guido Gigante , Alessandro Giuliani

Human mortality is in part a function of multiple socioeconomic factors that differ both spatially and temporally. Adjusting for other covariates, the human lifespan is positively associated with household wealth. However, the extent to…

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