Comparison between some approximate maximum-likelihood methods for quantitative trait locus detection in progeny test designs

1997 ◽  
Vol 95 (1-2) ◽  
pp. 236-245 ◽  
Author(s):  
J. M. Elsen ◽  
Sara Knott ◽  
P. Le Roy ◽  
C. S. Haley
Keyword(s):  
Quantitative Trait Locus ◽  
Maximum Likelihood ◽  
Quantitative Trait ◽  
Quantitative Trait Locus Detection ◽  
Progeny Test ◽  
Likelihood Methods ◽  
Approximate Maximum Likelihood ◽  
Maximum Likelihood Methods ◽  
Trait Locus

scholarly journals Selecting between causal and noncausal models with quantile autoregressions

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Alain Hecq ◽  
Li Sun
Keyword(s):  
Time Series ◽  
Maximum Likelihood ◽  
Latin American ◽  
Financial Time Series ◽  
Selection Criterion ◽  
Likelihood Methods ◽  
Approximate Maximum Likelihood ◽  
Financial Time ◽  
Maximum Likelihood Methods ◽  
Latin American Countries

AbstractWe propose a model selection criterion to detect purely causal from purely noncausal models in the framework of quantile autoregressions (QAR). We also present asymptotics for the i.i.d. case with regularly varying distributed innovations in QAR. This new modelling perspective is appealing for investigating the presence of bubbles in economic and financial time series, and is an alternative to approximate maximum likelihood methods. We illustrate our analysis using hyperinflation episodes of Latin American countries.

scholarly journals Composite Interval Mapping Based on Lattice Design for Error Control May Increase Power of Quantitative Trait Locus Detection

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0130125 ◽  
Author(s):  
Jianbo He ◽  
Jijie Li ◽  
Zhongwen Huang ◽  
Tuanjie Zhao ◽  
Guangnan Xing ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Composite Interval Mapping ◽  
Error Control ◽  
Quantitative Trait Locus Detection ◽  
Interval Mapping ◽  
Lattice Design ◽  
Trait Locus

scholarly journals THE GENETIC ANALYSIS OF QUANTITATIVE TRAIT DIFFERENCES BETWEEN TWO HOMOZYGOUS LINES

Genetics ◽  
1984 ◽  
Vol 108 (3) ◽  
pp. 733-744
Author(s):  
R C Elston
Keyword(s):  
Maximum Likelihood ◽  
Genetic Analysis ◽  
Quantitative Trait ◽  
Quantitative Data ◽  
Likelihood Methods ◽  
Maximum Likelihood Methods

ABSTRACT Previous maximum likelihood methods to analyze quantitative data on two inbred parental strains, their F1 and backcross generations are extended in three directions: (1) a method is suggested to transform the data to better satisfy the assumptions of normality and homoscedasticity; (2) the likelihoods are modified to allow for litter correlations and heteroscedasticity and (3) allowance is made for the incorporation of F2 data. The problem of making a choice among a set of simple genetic hypotheses is further discussed.

scholarly journals A Decision Rule for Quantitative Trait Locus Detection Under the Extended Bayesian LASSO Model

Genetics ◽  
2012 ◽  
Vol 192 (4) ◽  
pp. 1483-1491 ◽  
Author(s):  
Crispin M. Mutshinda ◽  
Mikko J. Sillanpää
Keyword(s):  
Quantitative Trait Locus ◽  
Decision Rule ◽  
Quantitative Trait ◽  
Quantitative Trait Locus Detection ◽  
Bayesian Lasso ◽  
Trait Locus
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