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1“...Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting...”
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2“...This paper proposes a new approach to sparsity, called the horseshoe estimator, which arises from a prior based on multivariate-normal scale mixtures. We...”
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3“...The ordinary Bayesian information criterion is too liberal for model selection when the model space is large. In this paper, we re-examine the Bayesian...”
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4“...We propose a pivotal method for estimating high-dimensional sparse linear regression models, where the overall number of regressors p is large, possibly much...”
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5“...A norm of 50-50 division appears to have considerable force in a wide range of economic environments, both in the real world and in the laboratory. Even in...”
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6“...This paper formulates and estimates multistage production functions for children's cognitive and noncognitive skills. Skills are determined by parental...”
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7by Chen, Henian Cohen, Patricia Chen, Sophie Published in Communications in statistics. Simulation and computation (31.03.2010)“...The odds ratio (OR) is probably the most widely used index of effect size in epidemiological studies. The difficulty of interpreting the OR has troubled many...”
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8“...We use a controlled experiment to explore whether there are gender differences in selecting into competitive environments across two distinct societies: the...”
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9“...The linear step-up multiple testing procedure controls the false discovery rate at the desired level q for independent and positively dependent test...”
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10“...Because many illnesses show heterogeneous response to treatment, there is increasing interest in individualizing treatment to patients [Arch. Gen. Psychiatry...”
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11“...Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse...”
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12by Barabási, Albert-László Published in Nature (12.05.2005)“...The dynamics of many social, technological and economic phenomena are driven by individual human actions, turning the quantitative understanding of human...”
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13by Goeman, Jelle J Published in Biometrical journal (01.02.2010)“...This article presents a novel algorithm that efficiently computes L1 penalized (lasso) estimates of parameters in high‐dimensional models. The lasso has the...”
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14“...The absence of state capacities to raise revenue and to support markets is a key factor in explaining the persistence of weak states. This paper reports on an...”
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15“...We provide new results regarding the identification of peer effects. We consider an extended version of the linear-in-means model where interactions are...”
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16“...Families, primarily female-headed minority households with children, living in high-poverty public housing projects in five U.S. cities were offered housing...”
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17“...We propose penalized likelihood methods for estimating the concentration matrix in the Gaussian graphical model. The methods lead to a sparse and shrinkage...”
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18“...We show that democratic change may be triggered by transitory economic shocks. Our approach uses within-country variation in rainfall as a source of transitory...”
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19“...Gaussian graphical models explore dependence relationships between random variables, through the estimation of the corresponding inverse covariance matrices...”
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20“...Can incentives be effective in encouraging the development of good habits? We investigate the post-intervention effects of paying people to attend a gym a...”