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Randomness and non-locality
(World Scientific, 2016-09)
The concepts of randomness and non-locality are intimately intertwined outcomes of randomly chosen measurements over entangled systems exhibiting non-local correlations are, if we preclude instantaneous influence between ...
Non-random pre-transcriptional evolution in HIV-1. A refutation of the foundational conditions for neutral evolution
(Sociedade Brasileira de Genética, 2009)
The complete base sequence of HIV-1 virus and GP120 ENV gene were analyzed to establish their distance to the
expected neutral random sequence. An especial methodology was devised to achieve this aim. Analyses included:
a) ...
Non random DNA evolution
(1997)
A model for testing molecular evolution is proposed. Randomness of recurrent mutation is defined based on isotropy and zero convariance among nucleotide sites. Assuming an equal rate of mutation for the bases A, T, G, and ...
Modeling and estimation of some non Gaussian random fieldsModeling and estimatión of some non gaussian random fields
(2018)
In this work, we propose two types of models for the analysis of regression and dependence of positive and continuous spatio-temporal data, and of continuous spatio-temporal data with possible asymmetry and/or heavy tails. ...
Normality in non-integer bases and polynomial time randomness
(Academic Press Inc Elsevier Science, 2015-04)
It is known that if x ∈ [0, 1] is polynomial time random (i.e. no polynomial time computable martingale succeeds on the binary fractional expansion of x) then x is normal in any integer base greater than one. We show that ...
Simulation of intrinsic random fields of order k with a continuous spectral algorithm
(Springer New York LLC, 2018)
Intrinsic random fields of order k, defined as random fields whose high-order increments (generalized increments of order
k) are second-order stationary, are used in spatial statistics to model regionalized variables ...
Dealing with misfits in random treatment assignment
(Stata Press, 2017)
In this article I discuss the misfits problem, a practical issue that arises
in random treatment assignment whenever observations can’t be neatly distributed
among treatments. I also introduce the randtreat command, which ...
Dealing with misfits in random treatment assignment
(Stata Press, 2017)
In this article I discuss the misfits problem, a practical issue that arises
in random treatment assignment whenever observations can’t be neatly distributed
among treatments. I also introduce the randtreat command, which ...