51 citations · 79 across the 8 of their papers we have counts for
4 papers · 1 filter
Assessing, testing and estimating the amount of fine-tuning by means of active information
Daniel Andrés Díaz-Pachón, Ola Hössjer
A general framework is introduced to estimate how much external information has been infused into a search algorithm, the so-called active information. This is rephrased as a test…
Active information, missing data and prevalence estimation
Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao +1
The topic of this paper is prevalence estimation from the perspective of active information. Prevalence among tested individuals has an upward bias under the assumption that indivi…
On the Use of -functionals in Regression Models
Ola Hössjer, Måns Karlsson
In this paper we survey and unify a large class or -functionals of the conditional distribution of the response variable in regression models. This includes robust measures of l…
Sometimes size does not matter
Daniel Andrés Díaz-Pachón, Ola Hössjer, Robert J. Marks
Cosmological fine-tuning has traditionally been associated with the narrowness of the intervals in which the parameters of the physical models must be located to make life possible…