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For the vast majority of genome wide association studies (GWAS) published so far, statistical analysis was performed by testing markers individually. In this article we present some elementary statis...
This paper aims to enhance our understanding of substantive questions regarding self-reported happiness and well-being through the specification and use of multi-level models. To date, there have bee...
This paper compares the Maximum-likelihood method and Bayesian method for finite element model updating.The Maximum-likelihood method was implemented using genetic algorithm while the Bayesian method ...
Previous likelihood-based linear modeling of nutritional data has been limited by the availability of software that allows flexible error structures in the data. We demonstrate the use of a Bayesian m...
The limitation of permutation tests is that they assume exchangeability. It is shown that in generalized linear models one can construct permutation tests from score statistics in particular cases. ...
Our article is concerned with adaptive sampling schemes for Bayesian inference that update the proposal densities using previous iterates. We introduce a copula based proposal density which is made ...
In this paper sequential monitoring schemes to detect nonparametric drifts are studied for the random walk case. The procedure is based on a kernel smoother. As a by-product we obtain the asymptotic...
Marginal structural models were introduced in order to provide estimates of causal effects from interventions based on observational studies in epidemiological research. We present a variant of the ...
In this paper, we consider the sparse eigenvalue problem wherein the goal is to obtain a sparse solution to the generalized eigenvalue problem. We achieve this by constraining the cardinality of the...
We develop a Bayesian procedure for analyzing stationary long-range dependent processes.Specically,we consider the fractional exponential model (FEXP)to estimate the memory parameter of a stationary...
In this paper,we combine useful aspects of both approaches.On the one hand,we are inspired by the discretization, where filtering for the state process is possible,on the other hand,we catch attracti...
In this work the approach to the reduite is made in a simple and unified way. More precisely, we use the same probabilistic technique to study the optimal stopping problem associated with the redui...
This paper analyzes the daily incidence of violence during the Second Intifada. We compare several alternative statistical models with dierent dynamic and structural stability characteristics while ...
In recent times, complex computer models have received wide attention inscienticresearch. However, inorder tomakeconventional statistical statements regarding the scientic research, many expensive r...

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