17 citations · 53 across the 9 of their papers we have counts for
9 papers
Statistical learning does not always entail knowledge
Daniel Andrés Díaz-Pachón, H. Renata Gallegos, Ola Hössjer +1
In this paper, we study learning and knowledge acquisition (LKA) of an agent about a proposition that is either true or false. We use a Bayesian approach, where the agent receives…
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…
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…
Is Cosmological Tuning Fine or Coarse?
Daniel Andrés Díaz-Pachón, Ola Hössjer, Robert J. Marks
The fine-tuning of the universe for life, the idea that the constants of nature (or ratios between them) must belong to very small intervals in order for life to exist, has been de…
High Dimensional Mode Hunting Using Pettiest Components Analysis
Tianhao Liu, Daniel Andrés Díaz-Pachón, J. Sunil Rao +1
Principal components analysis has been used to reduce the dimensionality of datasets for a long time. In this paper, we will demonstrate that in mode detection the components of sm…
Mode hunting through active information
Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao +1
We propose a new method to find modes based on active information. We develop an algorithm that, when applied to the whole space, will say whether there are any modes present \text…
A simple correction for COVID-19 sampling bias
Daniel Andrés Díaz-Pachón, J Sunil Rao
COVID-19 testing has become a standard approach for estimating prevalence which then assist in public health decision making to contain and mitigate the spread of the disease. The…
On the explanatory power of principal components
Daniel A. Diaz-Pachon, J. Sunil Rao, Jean-Eudes Dazard
We show that if we have an orthogonal base () in a -dimensional vector space, and select vectors and such that the vectors traverse t…