Results 211 to 220 of about 373,167 (265)

Territoriality modulates the coevolution of cooperative breeding and female song in songbirds. [PDF]

Nat Ecol Evol
Snyder KT, Loughran-Pierce A, Creanza N.
europepmc   +1 more source

Predicting human decision-making across task conditions via individuality transfer. [PDF]

Elife
Higashi H.
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Identification of Regions of Interest in Neuroimaging Data With Irregular Boundary Based on Semiparametric Transformation Models and Interval-Censored Outcomes. [PDF]

Stat Med
Lee CY, Shi H, Ma D, Beg MF, Cao J.
europepmc   +1 more source

Divergent disinhibition profiles linked to externalizing psychopathology. [PDF]

J Psychopathol Clin Sci
Sadeh N, Stumps A, Spielberg JM.
europepmc   +1 more source

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Likelihood-enhanced fast rotation functions

Acta Crystallographica Section D Biological Crystallography, 2004
Experiences with the molecular-replacement program Beast have shown that maximum-likelihood rotation targets are more sensitive to the correct orientation than traditional targets. However, this comes at a high computational cost: brute-force rotation searches can take hours or even days of computation time on current desktop computers.
Laurent C, Storoni, Airlie J, McCoy, Randy J, Read   +2 more
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An extended quasi-likelihood function

Biometrika, 1987
The introduction by \textit{R. W. M. Wedderburn} [Biometrika 61, 439-447 (1974; Zbl 0292.62050)] of quasi-likelihood for general linear models greatly widened their scope by allowing the full distributional assumption about the random component in the models to be replaced by a much weaker assumption in which only the first and second moments were ...
Nelder, J. A., Pregibon, D.
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Penalized Likelihood Functional Regression

Statistica Sinica, 2014
This paper studies the generalized functional linear model with a scalar response and a functional predictor. The response given the functional predictor is assumed to come from the distribution of an exponential family. A penalized likelihood approach is proposed to estimate the unknown intercept and coefficient function in the model.
Pang Du, Xiao Wang
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Classification by likelihood accordance functions

Communications in Statistics - Simulation and Computation, 2021
In this paper, we introduce the likelihood accordance function (LA function for short), which is defined to characterize the accordance of a new observation to be classified with training samples.
Yuqi Long, Xingzhong Xu
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Quadratic Artificial Likelihood Functions Using Estimating Functions

Scandinavian Journal of Statistics, 2006
Abstract.  A vector‐valued estimating function, such as the quasi‐score, is typically not the gradient of any objective function. Consequently, an analogue of the likelihood function cannot be unambiguously defined by integrating the estimating function.
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Assigning a Likelihood Function

2020
As scientists, we want to know how to parameterise our models, make comparisons with other models, and quantify model predictive uncertainty. For all these purposes, measurement data are needed, but how exactly should we use the data? The answer is always the same: in the likelihood function.
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