17 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…
J Andres Christen, F Javier Rubio
The hazard function represents one of the main quantities of interest in the analysis of survival data. We propose a general approach for parametrically modelling the dynamics of the hazard function using systems of autonomous ordinary differential equations (ODEs). This modelling approach can be used to provide…
Daniel Fitousi, Yong Deng
Response times (RT) distributions are routinely used by psychologists and neuroscientists in the assessment and modeling of human behavior and cognition. The statistical properties of RT distributions are valuable in uncovering unobservable psychological mechanisms. A potentially important statistical aspect of RT…
Bryan T. Gemler, Chiranjit Mukherjee, Carrie A. Howland, Danielle Huk + 4 more
'Danielle Huk' 'Zachary Shank' 'Lela Johnson Harbo' 'Omar P. Tabbaa' 'Craig M. Bartling'] Bioengineering applies analytical and engineering principles to identify functional biological building blocks for biotechnology applications. While these building blocks are leveraged to improve the human condition, the lack of…
J. Andrés Christen, F. J. Rubio
The hazard function represents one of the main quantities of interest in the analysis of survival data. We propose a general approach for parametrically modelling the dynamics of the hazard function using systems of autonomous ordinary differential equations (ODEs). This modelling approach can be used to provide…
Abdisalam Hassan Muse, Ahlam H. Tolba, Eman Fayad, Ola A. Abu Ali + 2 more
'M. Nagy' 'M. Yusuf'] The goal of this paper is to develop an optimal statistical model to analyze COVID-19 data in order to model and analyze the COVID-19 mortality rates in Somalia. Combining the log-logistic distribution and the tangent function yields the flexible extension log-logistic tangent (LLT) distribution…
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…
Richard Arnold, Stefanka Chukova, Yu Hayakawa
Hazard rate functions of natural and manufactured systems often show a bathtub shaped failure rate. A high early rate of failures is followed by an extended period of useful working life where failures are rare, and finally the failure rate increases as the system reaches the end of its life. Parametric modelling 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…
Arnaud Mignan, Daniela Varrica
The literature on probabilistic hazard and risk assessment shows a rich and wide variety of modeling strategies tailored to specific perils. On one hand, catastrophe (CAT) modeling, a recent professional and scientific discipline, provides a general structure for the quantification of natural (e.g., geological…
Tingke Shen, Peter Dayan
Novelty is a double-edged sword for agents and animals alike: they might benefit from untapped resources or face unexpected costs or dangers such as predation. The conventional exploration/exploitation tradeoff is thus coloured by risk-sensitivity. A wealth of experiments has shown how animals solve this dilemma, for…
Matthias Grabenhorst, David Poeppel, Georgios Michalareas
Temporal prediction is a fundamental function of neural systems. Recent advances suggest that humans anticipate future events by calculating probability density functions, rather than hazard rates. However, direct neural evidence for this mechanism is lacking. We recorded neural activity using magnetoencephalography as…
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…
Jian Chen
Analysis of the sequential accumulation of genetic events, such as mutations and copy number alterations, is key to understanding disease dynamics and may provide insights into the design of targeted therapies. Oncogenetic graphical models are computational methods that use genetic event profiles from cross-sectional…
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…
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…