نتایج جستجو برای: gam
تعداد نتایج: 1177 فیلتر نتایج به سال:
In this article, we present a polymermodel of the chromosome that can be parameterized to quantitatively reproduce contact probabilities measured in high-throughput chromosome conformation capture (Hi-C) or genome architecture mapping (GAM) experiments. Specifically, our Gaussian effective model (GEM) introduces harmonic potentials to represent interactions detected during such experiments. As ...
8 Recent acts of extreme violence involving teens and associated links to violent video games have led 9 to an increased interest in video game violence. Research suggests that violent video games influence 10 aggressive behavior, aggressive affect, aggressive cognition, and physiological arousal. Anderson 11 and Bushman [Annu. Rev. Psychol. 53 (2002) 27.] have posited a General Aggression Mode...
In many studies where it is known that one or more of the certain covariates have monotonic effect on the response variable, common fitting methods for generalized additive models (GAM) may be affected by a sparse design and often generate implausible results. A fitting procedure is proposed that incorporates the monotonicity assumptions on one or more smooth components within a GAM framework. ...
Recent acts of extreme violence involving teens and associated links to violent video games have led to an increased interest in video game violence. Research suggests that violent video games influence aggressive behavior, aggressive affect, aggressive cognition, and physiological arousal. Anderson and Bushman [Annu. Rev. Psychol. 53 (2002) 27.] have posited a General Aggression Model (GAM) to...
The synchronization of geodesic acoustic modes (GAMs) and magnetic fluctuations is identified in the edge plasmas of the HL-2A tokamak. Mesoscale electric fluctuations (MSEFs) having components of a dominant GAM, and m/n=6/2 potential fluctuations are found at the same frequency as that of the magnetic fluctuations of m/n=6/2 (m and n are poloidal and toroidal mode numbers, respectively). The t...
Existing computationally efficient methods for penalized likelihood GAM fitting employ iterative smoothness selection on working linear models (or working mixed models). Such schemes fail to converge for a non-negligible proportion of models, with failure being particularly frequent in the presence of concurvity. If smoothness selection is performed by optimizing ‘whole model’ criteria these pr...
Conventional approaches to modeling classification image data can be described in terms of a standard linear model (LM). We show how the problem can be characterized as a Generalized Linear Model (GLM) with a Bernoulli distribution. We demonstrate via simulation that this approach is more accurate in estimating the underlying template in the absence of internal noise. With increasing internal n...
Housing sale price prediction has been extensively studied under semiparametric regression models. However, semiparametric kernel machines with spatial effect term have not been studied yet. This paper proposes semiparametric spatial effect kernel minimum squared error model (SSEKMSEM) and least squares support vector machine (SSELS-SVM) for estimating a hedonic price function and compares the ...
This paper suggests an enhancement of an existing method for the multiobjective optimization known as GAM (goal attainment method). In our proposal, the GAM algorithm is combined with a mechanism that automatically provides a set of parameters (weights, coordinates of the reference point) for which the method generates noninferior solutions uniformly spread over a suitably selected part of the ...
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