Results 21 to 30 of about 259,190 (301)

Estimating effective population size changes from preferentially sampled genetic sequences.

PLoS Computational Biology, 2020
Coalescent theory combined with statistical modeling allows us to estimate effective population size fluctuations from molecular sequences of individuals sampled from a population of interest.
Michael D Karcher, Luiz Max Carvalho, Marc A Suchard, Gytis Dudas, Vladimir N Minin   +4 more
doaj   +1 more source

Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process

Sensors, 2020
Although various linear log-distance path loss models have been developed for wireless sensor networks, advanced models are required to more accurately and flexibly represent the path loss for complex environments.
Han-Shin Jo, Chanshin Park, Eunhyoung Lee, Haing Kun Choi, Jaedon Park   +4 more
doaj   +1 more source

Behavioral Modelling of Digital Devices Via Composite Local-Linear State-Space Relations [PDF]

, 2008
This paper addresses the generation of accurate and efficient behavioral models of digital ICs. The proposed approach is based on the approximation of the device port characteristics by means of composite local linear state-space relations whose ...
Stievano, Igor Simone, Ivan A. Maio, Igor S. Stievano, Flavio G. Canavero, Siviero, Claudio, Claudio Siviero, Maio, Ivano Adolfo, Canavero, Flavio   +7 more
core   +1 more source

Non-stationary log-periodogram regression [PDF]

, 1998
We study asymptotic properties of the log-periodogram semiparametric estimate of the memory parameter d for non-stationary (d>=1/2) time series with Gaussian increments, extending the results of Robinson (1995) for stationary and invertible Gaussian ...
Velasco Gómez, Carlos, Carlos Velasco, Velasco, Carlos   +2 more
core   +1 more source

MI-GWAS: a SAS platform for the analysis of inherited and maternal genetic effects in genome-wide association studies using log-linear models

BMC Bioinformatics, 2011
Background Several platforms for the analysis of genome-wide association data are available. However, these platforms focus on the evaluation of the genotype inherited by affected (i.e. case) individuals, whereas for some conditions (e.g.
Mitchell Laura E, Agopian AJ
doaj   +1 more source

Modeling the longtiudnal change of viral load of HIV positive patients on antiretroviral therapy

Cogent Medicine, 2021
HIV/AIDS continues to be a major public health concern and cause of death in the world. Even though WHO recommended viral load testing as the preferred monitoring approach to diagnose and confirm ARV treatment failure, but in most cases, factors ...
Dawit Getachew, Aragaw Eshetie, Dessie Melese Chekole   +2 more
doaj   +1 more source

Association of Melanoma-Risk Variants with Primary Melanoma Tumor Prognostic Characteristics and Melanoma-Specific Survival in the GEM Study

Current Oncology, 2021
Genome-wide association studies (GWAS) and candidate pathway studies have identified low-penetrant genetic variants associated with cutaneous melanoma.
Danielle R. Davari, Irene Orlow, Peter A. Kanetsky, Li Luo, Klaus J. Busam, Ajay Sharma, Anne Kricker, Anne E. Cust, Hoda Anton-Culver, Stephen B. Gruber, Richard P. Gallagher, Roberto Zanetti, Stefano Rosso, Lidia Sacchetto, Terence Dwyer, David C. Gibbs, David W. Ollila, Colin B. Begg, Marianne Berwick, Nancy E. Thomas   +19 more
doaj   +1 more source

Multivariate curve resolution of time course microarray data

BMC Bioinformatics, 2006
Background Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), independent component analysis (ICA), or other methods.
Martinez M Juanita, Roy Sushmita, Karakach Tobias K, Wentzell Peter D, Allen Christopher P, Werner-Washburne Margaret   +5 more
doaj   +1 more source

Analysis of Log-Linear Models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1972
Summary Log-linear models are extensively used to analyse categorical and “stimulus-response” data. This paper gives an iterative procedure for obtaining maximum likelihood estimates of cell frequencies and of the parameters of a log-linear model in a multinomial experiment.
openaire   +2 more sources

Structural equation and log-linear modeling: a comparison of methods in the analysis of a study on caregivers' health

BMC Medical Research Methodology, 2006
Background In this paper we compare the results in an analysis of determinants of caregivers' health derived from two approaches, a structural equation model and a log-linear model, using the same data set.
Rosenbaum Peter L, Walter Stephen D, Zhu Bin, Russell Dianne J, Raina Parminder   +4 more
doaj   +1 more source