DEEP is an adaptive method that dynamically designs elicitation questions for estimating Risk and Time preference parameters.
In the first part of this method, the parameter space is sampled as broadly as possible with a variant of the Metropolis–Hastings Markov chain Monte Carlo method that is designed for this purpose.
This paper presents a design method that combines interaction design with axiomatic design.
He began teaching piano when he was 19, and developed his own method that was designed to bridge classical piano instruction, with its reliance on written music, and jazz improvisation.
This paper proposes a method that helps design backcasting scenarios for resilient futures.
Our main result is a new computational method that is designed to identify microRNA target sites.
This paper provides insights from one method that was designed to accommodate decision -making heterogeneity.
BPA is an a posteriori method that is designed to assess the host context of parasite speciation events, whereas reconciliation methods are a priori methods that are designed to fit parasite phylogenies to a host phylogeny.
This paper discusses a new probabilistic forecasting method that was designed for the 2015 British general election.
This strategy exploits a probabilistic-based heuristic method that was designed to guide a conventional backtracking search.
