6 papers
Separable nonlinear least-squares parameter estimation for complex dynamic systems
Itai Dattner, Shota Gugushvili, Harold Ship +1
Nonlinear dynamic models are widely used for characterizing functional forms of processes that govern complex biological pathway systems. Over the past decade, validation and furth…
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…
Consistency of direct integral estimator for partially observed systems of ordinary differential equations linear in the parameters
Ivan Vujačić, Itai Dattner
Dynamic systems are ubiquitous in nature and are used to model many processes in biology, chemistry, physics, medicine, and engineering. In particular, systems of ordinary differen…