22 papers · ranked by Valyu relevance
J. Andrés Christen, F. J. Rubio
We propose a parametric hazard model obtained by enforcing positivity in the damped harmonic oscillator. The resulting model has closed-form hazard and cumulative hazard functions, facilitating likelihood and Bayesian inference on the parameters. We show that this model can capture a range of hazard shapes, such as…
Sven Panis, Filipp Schmidt, Maximilian P. Wolkersdorfer, Thomas Schmidt
'Thomas Schmidt'] In this Methods article, we discuss and illustrate a unifying, principled way to analyze response time data from psychological experiments-and all other types of time-to-event data. We advocate the general application of discrete-time event history analysis (EHA) which is a well-established, intuitive…
Mohammad A Tabatabai, Zoran Bursac, David K Williams, Karan P Singh
A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. A simulation study was carried out to evaluate the performance of the hypertabastic distribution in comparison with popular distributions. We then demonstrate the application of the hypertabastic…
Md Rokibul Hasan, Pratim Guha Niyogi
Physical activity plays a vital role in human health. Its entire distribution differs among people. Commonly used summary measures cannot describe this distributional pattern. We present a distribution-based analytical approach to describe physical activity by modeling individual-level activity-intensity patterns…
Sophie K. Herbst, Lorenz Fiedler, Jonas Obleser
Human observers automatically extract temporal contingencies from the environment and predict the onset of future events. Temporal predictions are modelled by the hazard function, which describes the probability for an event to occur over time given it has not occurred yet. To test whether and how the human time-domain…
Jose A Christen, Francisco J Rubio
The hazard function is central to the formulation of commonly used survival regression models such as the proportional hazards and accelerated failure time models. However, these models rely on a shared baseline hazard, which, when specified parametrically, can only capture limited shapes. To overcome this limitation…
Poorbita Kundu, Zhou Hang, Hans‐Georg Müller
Exceedance refers to instances where a dynamic process surpasses given thresholds, e.g., the occurrence of a heat wave. We propose a novel exceedance framework for functional data, where each observed random trajectory is transformed into an exceedance function, which quantifies exceedance durations as a function of…
Kumar, Pankaj, Vijay, Vivek
Heavy-tailed probability distributions are extremely useful and play a crucial role in modeling different types of financial data sets. This study presents a two-pronged methodology. First, a mixture probability distribution is created by combining Gaussian and Rayleigh distributions using the arctangent…
Irina-Maria Dragan, Alexandru Isaic-Maniu
There is an entire field of literature on reliability models. Building reliability models is most frequently done by starting from the failure rate (or hazard rate). Creating a reliability model starts with the specific type of product behavior over time, so there are model classes for the specifics of different…
James S Camac, Richard Condit, Richard G FitzJohn, Lachlan McCalman + 4 more
Tree death is a fundamental process driving population dynamics, nutrient cycling, and evolution within plant communities. While past research has identified factors influencing tree mortality across a variety of scales, these distinct drivers are yet to be integrated within a unified predictive framework. In this…
Torbjørn Ergon, Ørnulf Borgan, Chloé Rebecca Nater, Yngvild Vindenes
Mortality is a key process in ecology and evolution, and much effort is spent on development and application of statistical and theoretical models involving mortality. Mortality takes place in continuous time, and a fundamental representation of mortality risks is the mortality hazard rate, which is the intensity of…
Ke He, Neil Carhart, Maria Pregnolato, Jeffrey Neal + 1 more
Flood damage to road networks primarily manifests as a loss of transportation functionality. Current analyses of road network functionality loss during floods are based on specific flood scenarios. This study analyses flood risk to road networks by assessing the probability of stability loss for various vehicle types…
Authors not listed
Occupational chemical hazards pose profound risks to chemists in laboratory and industrial settings, encompassing acute and chronic exposures that imperil sensory organs (e.g., ocular, auditory, olfactory, dermal) and vital physiological systems. This manuscript delineates a multifaceted, innovative protocol suite…
Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon M. Lutz + 4 more
The prediction of the susceptibility of an individual to a certain disease is an important and timely research area. An established technique is to estimate the risk of an individual with the help of an integrated risk model, that is a polygenic risk score with added epidemiological covariates. However, integrated risk…
Massimo Guarascio, Emin Alakbarli, Carlota Despabeladera, Vincenzo Cardinale + 5 more
'Vincenzo Cardinale' 'Azadeh Ghasemichamazkoti' 'Nima Darabi' 'Dimitris Kugiumtzis' 'Nikolay Kolev Vitanov' 'George Tsaklidis'] Road tunnels are associated with numerous risks including traffic accidents and fires, posing threats to individual or group users. Key risk indicators such as Risk Quantum, Individual Risk…
Li Zhou, Chun Guo, Yunxiao Cui, Jianjun Wu + 2 more
The accidents caused by hazardous material during road transportation may result in catastrophic losses of lives and economics, as well as damages to the environment. Regarding the deficiencies in the information systems of hazmat transportation accidents, this study conducts a survey of 371 accidents with consequence…
Jinkun Men, Guohua Chen, Tao Zeng
As one of the typical safety-critical systems, the chemical process industry (CPI) is congested with high-risk industrial processes, usually prone to the so-called multi-hazard coupling scenarios. One of the toughest challenges is analyzing the mutually amplified phenomena between various hazards, known as…
Viktor Witkovský, Gejza Wimmer, Tomas Duby
A non-parametric method for evaluation of the aggregate loss distribution (ALD) by combining and numerically inverting the empirical characteristic functions (CFs) is presented and illustrated. This approach to evaluate ALD is based on purely non-parametric considerations, i.e., based on the empirical CFs of frequency…
Shuo Gong, Yijun Hu, Linxiao Wei
The risk of a financial position shines through by means of the fluctuation of its market price. The factors affecting the price of a financial position include not only market internal factors, but also other various market external factors. The latter can be understood as sorts of environments to which financial…
Kristina Rognlien Dahl, Arne Bang Huseby
Classical environmental contours are used in structural design in order to obtain upper bounds on the failure probabilities of a large class of designs. Buffered environmental contours, first introduced in [4], serve the same purpose, but with respect to the so-called buffered failure probability. In contrast to…
Amelia Carolina Sparavigna
Previous studies (Sparavigna, 2023) have demonstrated the Tsallis q-Gaussian functions suitable for the analysis of Raman spectra. Here we consider two asymmetric forms of them, with the aim of further improving the fitting of Raman spectra. The first asymmetric form, that we are here proposing for the first time, is a…
Authors not listed
Realizing the promise of artificial intelligence (AI) to accelerate scientific progress and deliver technological impact depends on how effectively AI can be integrated into real-world decision- making processes. As Peter Norvig states, “Somewhat remarkably, almost all AI research until very recently has assumed that…