Yob on her ain't sea yob.
"Anna Christie" by Eugene O'Neill
Bote he is dem young faller bane goin' 'round hare dees two, t'ree days, lukin' lak preacher out of a yob.
"The Taming of Red Butte Western" by Francis Lynde
But the cream of Hoxton is its yobs.
"Nights in London" by Thomas Burke
All our candidates got odder yobs now.
"The Brown Mouse" by Herbert Quick
Now we bane goin' to have one hard yob on our hands, by yiminy, you an' me!
"A Man to His Mate" by J. Allan Dunn
Jou tinks dere vas no yobs on shore?
"The Brassbounder" by David W. Bone
A good yob I had breakfas' a'ready,' an' he fair seizes darie medicine an' he offs.
"Old Hendrik's Tales" by Arthur Owen Vaughan
You 'shuck' your 'yob.
"From Chart House to Bush Hut" by Charles W. L. Bryde
Gunter, the man I suspect, as a matter of fact, is known as the 'Hoxton Yob.
"Chronicles of Martin Hewitt" by Arthur Morrison
Ay git yob vork f'r her in mine!
"Yellowstone Nights" by Herbert Quick
Ev'ryvare I ask for yob.
"The Walking Delegate" by Leroy Scott
Idt vos just a yob dot hadt to be done und I didded idt.
"The Ocean Wireless Boys and the Lost Liner" by Wilbur Lawton
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INTERVIEWS Sludgemasters Yob To Delight, Confound on Tool's Winter Tour.
In one of his ever growing bold new initiatives, parents are now to be held responsible for the crimes of their kids, noisy neighbours evicted from their own homes and drunken yobs made to pay.
Archers of Loaf, Yob, Tinariwen, Mount Moriah, Emmylou Harris, and other notable shows.
A train driver narrowly escaped injury after yobs hurled a stone through the cab windscreen .
The lord of Pacific Northwestern doom metal, YOB has been howling and trudging since the mid-'90s.
With most tracks surpassing 10 minutes, Yob 's show Thursday at Ace of Cups is not for those with faint hearts or short attention spans.
The ACA Camp Youth Outcomes Battery (YOB) offers camps data-gathering measures that focus on common camp outcomes.
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Theorem 4 Assume condition (i) of Lemma 1, that π(E(θ|yobs )) > 0, and the kernel K (·) corresponds to a random variable with mean zero.
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC
E(L(θ, ˆθ; A)|yobs) − trace(AΣ) = E(( ˜θ − ˆθ)T A( ˜θ − ˆθ)|yobs ), where ˜θ = E(θ|yobs), the mean under the true posterior, which equals S (yobs) for the summary statistics under discussion.
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC
Now E(L(θ, ˆθ; A)|yobs) − trace(AΣ) − h2 Z xT AxK (x)dx = −2h Z xT Aδ ( ˜θ + hx)K (x)dx + Z δ ( ˜θ + hx)T Aδ ( ˜θ + hx)K (x)dx.
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC
M) and Var(y |yobs where E(y |yobs , M) are given in (2.12).
Using linear predictors to impute allele frequencies from summary or pooled genotype data
Here, let Yob be current data with unambiguous genotypes.
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
If we denote the two potential expanded data sets as Yco,m and Yco,i with m and i standing for markers and individuals, we can compute the fraction of information between Yob and Yco,m , and between Yob and Yco,i , potentially using RI1 and RI0 proposed in the NMK paper.
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Let RIy (Yco , Yob ; p, p0) be the empirical fraction of information regarding the difference between p and p0 , for a set of Yco with only Yob observed (or the ratio of the lod scores between p and p0 derived using the observed data and the potential complete data).
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Mathematically, our key identity (13) requires both θ1 and θ2 to be ﬁxed known constants (given the observed data), so one cannot take θ1 = θco , which would be a random variable, even after conditioning on Yob .
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Given this setup, we can use RI1 to measure the loss of information due to censoring by setting {Yob = Dcens , Yco = Dfull}, using our generic notation; we believe Doss’s ﬁrst reported RI1 value, 0.987, is for this purpose.
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
We can also measure the loss of information from using the partial likelihood approach compared with the full-likelihood approach, which corresponds to setting {Yob = Dpart , Yco = Dcens }.
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
We then obviously can ask what is the relative information in Yob = Dcens compared with the augmented sample Yco = Daug cens .
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Bayesian inference is typically focused on the posterior distribution p(θ|yobs ) ∝ p(yobs |θ)p(θ) of a parameter vector θ ∈ Θ ⊆ Rq , q ≥ 1, representing the updating of one’s prior beliefs, p(θ), through the likelihood (model) function, p(yobs |θ), having observed data yobs ∈ Y .
A comparative review of dimension reduction methods in approximate Bayesian computation
S (yobs ) means that the ﬁrst approximation may be poor.
A comparative review of dimension reduction methods in approximate Bayesian computation
Denote by yobs the observed data and assume an informative prior.
New Important Developments in Small Area Estimation
Integrate θ out by use of the posterior distribution g(θ |yobs ). 3.
New Important Developments in Small Area Estimation
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