Abstract: Complex random variables arise naturally in many settings and their properties are of general interest. Past work on complex variables has mainly focused on their second-order structure, as ...

Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...

Football bettors often assess how their strategic methods align with those used in online casino games. Both betting ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

In addition, a Random Forest (RF) sensitivity analysis without SMOTETomek was performed, and the minimum required sample size was estimated according to the events per variable (EPV) rule. Seven ...

Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

When confronted with cancer, Connor Christou fed everything tied tied to his regime — blood results, scan data, wearable ...

The results show that Spain is favored to win with a probability of 14.5%. In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use ...

The vehicles on American roads have grown larger — and they are killing thousands more pedestrians, a Times investigation ...