Fall Detection and Posture Tracking: Indoor Positioning and Fall Detection System Without Wearables

In the past decades, the workload and the pressure on medical personnel has been growing to an unprecedented peak. This is partly due to the ageing population and the increasing capabilities to be independent at an older age, increasing the age people enter nursing homes. This paper focuses on a novel way to detect incidents that could occur in...

Understanding Risk Extrapolation (REx) and when it finds Invariant Relationships

Generalizing models for new unknown datasets is a common problem in machine learning. Algorithms that perform well for test instances with the same distribution as their training dataset often perform severely on new datasets with a different distribution. This problem is caused by distributional shifts between the training of the model and...

Explain Strange Learning Curves in Machine Learning

The learning curve illustrates how the generalization performance of the learner evolves with more training data. It can predict the amount of data needed for decent accuracy and the highest achievable accuracy. However, the behavior of learning curves is not well understood. Many assume that the more training data provided, the better the...

Why does the machine punish?: The effects of the use of machine learning in criminal sentencing on the application of the theories of punishment

In recent years, the practice of risk-assessment has started to utilize machine learning to take in larger data sets and improve prediction accuracy. Simultaneously, it has expanded into the sentencing stage of the criminal justice system. This paper analyzes the effect of these developments on the consideration of the theories of punishment...

Case Study: Deltapump: On the civil design and cost estimate of a high-capacity enclosed-screw pumping station concept and its application to protect the Rhine-Meuse delta from flooding before the year 2100

According to the European Environment Agency (2016, pp. 137–140) annual mean river flow and the frequency of fluvial floods will have increased by 20% before the year 2100, in North-western Europe. It had been postulated in media in reports (De Ingenieur, 2014; „MIRT-verkenning Grevelingen”, 2012; Slootjes et al., 2010; Slootjes, 2013; Lammers,...

Statistics of War Casualties

In this thesis we statistically analyze violent conflicts. The main focus lies on the risk of occurrence of large wars. We collected data that provides the total amount of casualties, for every known war, in the time span 768CE - 2019. The distribution of the data suggests a presence of a long right tail. We have used different graphical tools...

Tail Risk in Cryptocurrencies

In this research, the returns of four cryptocurrencies (Bitcoin, Litecoin, Ripple and Ethereum) were analyzed in order to answer the following research question: “How do the returns of Bitcoin and other altcoins behave over time, and what can we say about extreme values for losses and profits?” With respect to volatility, cryptocurrencies can...

Robust estimation in the financial sector

Flood Risk Evaluation: Validation and Smart Flood Risk City Management

River floods are considered one of the most important natural disasters and causes huge damages every year, both in economic consequences and fatalities. Out of historical perspectives, human settlements are located in fertile and economic attractive delta regions. Deltas tend to be constantly changing nodes of economic and urban growth leading...

Optimale importance sampling in Markovketens: Efficiënte simulatie zeldzame gebeurtenissen

Toepassing importance sampling op credit risk probleem met onafhankelijke schuldenaren.

Identifying Delta Regions Most Vulnerable for Flooding: A Multiple Land Use Flood Risk Assessment for Australia

The global economical losses caused by flooding have increased over the last 50 years (IPCC, 2014; UNISDR, 2013). Deltares and HKV are developing new methods to quantify flood risk on a global scale. A Flood Risk Assessment Tool (FIAT) is used to performcalculations. The definition of risk is hazard x exposure x vulnerability. FIAT is able to...

Periodieke controle op prostaatkanker: Doen of niet doen?

Door het ErasmusMC in Rotterdam is een prostaatkanker-dataset beschikbaar gesteld. De onderzoeksvraag bij deze dataset is "Is het relevant om te controleren op prostaatkanker bij mannen tussen de 54 jaar en 75 jaar". Om deze vraag te beantwoorden is gebruik gemaakt van verschillende analyses. Bovendien zijn twee datasets gesimuleerd....

Optimal alarm systems on financial risk indices

'This paper introduces the theory of optimal alarm systems on ?nancial risk indices. An alarm system is optimal if it detects catastrophes with a high probability and simultaneously gives a low number of false alarms. First a small introduction to the theory of optimal alarm systems is given. To evaluate and compare different alarm systems, a...

Measuring the riskiness of financial assets

Models assets as gambles. Develops objective measure for riskiness. Provides full mathematical proofs