Analyzing uncertainty in spatial data is a vital task in many domains, as for example with climate and weather simulation ensembles. Although many methods support the analysis of uncertain 2D data, ...

Empirical fragility functions are estimated from damage survey data collected after past earthquakes. This is challenging, because the IM values that caused the observed damage are uncertain.

Abstract We investigate the use of the Probabilistic Incremental Programming Evolution (PIPE) algorithm as a tool to construct continuous cumulative distribution functions to model given data sets.

Abstract The use of probability distribution functions for describing tree diameter at breast height provides useful information for forest resource evaluation and quantification. A series of ...

Every function in the package starts with e_. You start coding a visualization by creating an echarts object with the e_charts() function. That takes your data frame and x-axis column as arguments ...

An early warning of corporate financial crises has long been the focus of investors and enterprises. Integrated early warning models for financial crises perform better than normal models, but most ...

Examples of Empirical Probability Consider, for example, that you want to look at a small dataset such as the possibility of rolling a six when you roll a single die. If on the first roll, you ...