Results 31 to 40 of about 277 (152)

Analyzing high dimensional correlated data using feature ranking and classifiers

Computational and Mathematical Biophysics, 2019
The Illumina Infinium HumanMethylation27 (Illumina 27K) BeadChip assay is a relatively recent high-throughput technology that allows over 27,000 CpGs to be assayed.
Patil Abhijeet R, Chang Jongwha, Leung Ming-Ying, Kim Sangjin   +3 more
doaj   +1 more source

Generalized distributions of order k associated with success runs in Bernoulli trials

International Journal of Mathematics and Mathematical Sciences, Volume 2003, Issue 13, Page 801-815, 2003., 2003
In a sequence of independent Bernoulli trials, by counting multidimensional lattice paths in order to compute the probability of a first‐passage event, we derive and study a generalized negative binomial distribution of order k, type I, which extends to distributions of order k, the generalized negative binomial distribution of Jain and Consul (1971 ...
Gregory A. Tripsiannis, Afroditi A. Papathanasiou, Andreas N. Philippou   +2 more
wiley   +1 more source

Comparison of Different Underlying Distributions in The Accelerated Failure Time (AFT) Model on Mortality of Covid-19 Patients

InPrime, 2022
In 2022, the COVID-19 virus is still making headlines in various mass media because it is a virus that is very dangerous to health. The world health organization, WHO, explained that the virus caused a global pandemic that infected the whole world.
Asti Meiza, Asep Solih Awaluddin, Nurapni Oktapia Hidayah, Adnan Taha   +3 more
doaj   +1 more source

Modeling maxima of longitudinal contralateral observations

, 2008
Canonical fundamental skew-normal distribution, Exchangeability, Extended skew-normal distribution, Multivariate skew-normal distribution, Nonlinear prediction, 62E15, 62H10, 62P10,
LOPERFIDO, NICOLA MARIA RINALDO, Nicola Loperfido   +1 more
core   +1 more source

Independence of thinned processes characterizes the Poisson process: An elementary proof and a statistical application

, 2007
Poisson process, Marked point processes, Spatial point pattern, Test of spatial randomness, 62M30, 60G55, 62P10,
R. Assunção, P. Ferrari, Ferrari, Pablo Augusto   +2 more
core   +1 more source

Augmenting the bootstrap to analyze high dimensional genomic data

, 2008
Inverse covariance, Large-p-small-n , Resampling, Genomics, 62G09, 62P10,
Svitlana Tyekucheva, CHIAROMONTE, FRANCESCA, Francesca Chiaromonte, Tyekucheva S   +3 more
core   +1 more source

Sequence alignment generation using intermediate sequence search for homology modeling

Computational and Structural Biotechnology Journal, 2020
Protein tertiary structure is important information in various areas of biological research, however, the experimental cost associated with structure determination is high, and computational prediction methods have been developed to facilitate a more ...
Shuichiro Makigaki, Takashi Ishida
doaj   +1 more source

Compatible priors for Bayesian model comparison with an application to the Hardy–Weinberg equilibrium model

, 2008
Bayes factor, Conjugate prior, Dirichlet distribution, Jeffreys conditioning, Kullback–Leibler projection, Nested model, Predictive distribution, Trinomial distribution, 62F15, 62P10, 92D25,
Guido Consonni, Eduardo Gutiérrez-Peña, Gutierrez Pena E., Veronese P., Consonni, Guido, Piero Veronese, Gutiérrez-Peña, Eduardo, Veronese, Piero   +7 more
core   +1 more source

Causal effect on a target population: A sensitivity analysis to handle missing covariates

Journal of Causal Inference, 2022
Randomized controlled trials (RCTs) are often considered the gold standard for estimating causal effect, but they may lack external validity when the population eligible to the RCT is substantially different from the target population.
Colnet Bénédicte, Josse Julie, Varoquaux Gaël, Scornet Erwan   +3 more
doaj   +1 more source

Tree-based conditional copula estimation

Dependence Modeling
This article proposes a regression tree procedure to estimate conditional copulas. The associated algorithm determines classes of observations based on covariate values and fits a simple parametric copula model on each class.
Bonacina Francesco, Lopez Olivier, Thomas Maud   +2 more
doaj   +1 more source