4 papers
A statistical methodology for data-driven partitioning of infectious disease incidence into age-groups
Rami Yaari, Amit Huppert, Itai Dattner
Understanding age-group dynamics of infectious diseases is a fundamental issue for both scientific study and policymaking. Age-structure epidemic models were developed in order to…
simode: R Package for statistical inference of ordinary differential equations using separable integral-matching
Rami Yaari, Itai Dattner
In this paper we describe simode: Separable Integral Matching for Ordinary Differential Equations. The statistical methodologies applied in the package focus on several minimizatio…
A Guided FP-growth algorithm for multitude-targeted mining of big data
Lior Shabtay, Rami Yaari, Itai Dattner
In this paper we present the GFP-growth (Guided FP-growth) algorithm, a novel method for multitude-targeted mining: finding the count of a given large list of itemsets in large dat…
A two-stage approach for estimating the parameters of an age-group epidemic model from incidence data
Rami Yaari, Itai Dattner, Amit Huppert
Age-dependent dynamics is an important characteristic of many infectious diseases. Age-group epidemic models describe the infection dynamics in different age-groups by allowing to…