With immigrants and their U.S.-born children poised to be the main source of labor-force growth, these adults are an important target for efforts to build the skills of the U.S. workforce to meet the knowledge-based economy of tomorrow. This fact sheet and state data snapshots explore the characteristics of adults without an academic degree or professional credential, by immigrant generation, race/ethnicity, and more.

BRUSSELS — While the European Union has called on Member States to expand channels for foreign workers as a way to meet labour market needs and potentially tackle spontaneous migration, they have struggled to deliver on this pledge. To date, policies have focused more on attracting high-skilled workers, but less attention has been paid to admission of low- or middle-skilled nationals. Policymakers would do well not to overestimate the potential of legal channels to reduce irregular migration.

Home visiting programs for young families are growing in popularity across the United States, and have demonstrated their effectiveness in supporting maternal health and child well-being. At the same time, more infants and toddlers are growing up in immigrant families and households where a language other than English is spoken. Why then are these children under-represented in these programs? This brief explores common barriers, ways to address them, and why it is important to do so.

Huy A. Tran
Jul 1, 2004; 22:141-143
Case Studies

Andrew M. Davis
Apr 1, 2008; 26:58-62
Feature Articles

Stephen Brunton
Apr 1, 2019; 37:105-106
Editorials

An essential mineral in the body have been linked to recovery of COVID-19 patients.

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STANDARD ERRORS VS STANDARD DEVIATIONS Click to enlarge There’s an ancient haiku that goes: People confuse a well-estimated mean with a certain outcome Ok, that’s not true. But Jake Hofman, Dan Goldstein, and Jessica Hullman have a new paper (recently accepted at CHI 2020) about this. They bet you’ll think the results of their paper […]

The post How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results appeared first on Decision Science News.

A businessman, Patrick served two terms as governor of Massachusetts and has credited education with his own dramatic rise to success.

Former Colorado Gov. John Hickenlooper, who helped initiate a shakeup of Denver Public Schools, has announced that he's running for president as a Democrat in 2020.

"This is a complex and stressful time in our society and the mental health and wellness of our Big Ten family is a critical component of our focus."

The NCAA is expected to formally approve rules changes that will allow athletes to get endorsement income in 2021.

Teachers in seven districts are striking for higher pay—and Seattle may be next.

In 2017 the Department of the Prime Minister and Cabinet and Australian Defence Force (Australian Army) undertook a joint review of the Army Aboriginal Community Assistance Programme (AACAP) to assess its efficiency and effectiveness. The review found AACAP is a highly regarded and effective means of achieving positive environmental and primary health outcomes for Aboriginal and Torres Strait Islander communities while providing valuable training outcomes for Army. AACAP's objectives align with the Council of Australian Governments (COAG) 'Closing the Gap' targets in Indigenous disadvantage and with the Australian Government's Indigenous Advancement Strategy (IAS). The report identified areas for potential improvement, recommending greater support for the sustainability of infrastructure and project investment, enhanced employment and training opportunities and strengthening of project governance.

Heredity -- Genetics.

Dementia.

Pentecostalism -- History -- 21st century.

Bible. Galatians, III, 28 -- Criticism, interpretation, etc

Climatic changes -- Effect of human beings on -- Religious aspects -- Christianity.

Dementia -- Treatment.

Sisters -- Fiction.

Illumination of books and manuscripts, Medieval -- Themes, motives -- Exhibitions.

Embroidery.

Rape.

195?

Hamburg : Wilhelm Mauke, 1871.

Frankfurt a. M. : C. Winter, 1865.

Berlin : G. Reimer, 1899.

Wien : L.W. Seidel, 1875.

Stuttgart : F. Enke, 1891.

Edinburgh : W. Green, 1908.

London : Adlard, 1904.

Bruxelles : F. Hayez, 1890.

What would a new Democratic administration mean for education? We're getting a clearer idea as former Vice President Joe Biden and Vermont Sen. Bernie Sanders emerge as top contenders for the nomination.

London (Poets Gallery Fleet Street) : Publish'd ... by Thos. Macklin, Novr. 30. 1799.

Venetiis [Venice] : J. van Campen formis.

[Rome] : [Chez Bouchard et Gravier], [1785]

[Rome?], [between 1600 and 1699]

Ducks defensemen Christian Djoos and Jani Hakanpaa will stay with the team through the 2020-21 season after each signed a one-year, one-way contract extension.

Rockville, Maryland : National Institute on Drug Abuse, 1985.

Gianluca Finocchio, Johannes Schmidt-Hieber.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 239--271.

Abstract:
Consider the Gaussian sequence model under the additional assumption that a fixed fraction of the means is known. We study the problem of variance estimation from a frequentist Bayesian perspective. The maximum likelihood estimator (MLE) for $sigma^{2}$ is biased and inconsistent. This raises the question whether the posterior is able to correct the MLE in this case. By developing a new proving strategy that uses refined properties of the posterior distribution, we find that the marginal posterior is inconsistent for any i.i.d. prior on the mean parameters. In particular, no assumption on the decay of the prior needs to be imposed. Surprisingly, we also find that consistency can be retained for a hierarchical prior based on Gaussian mixtures. In this case we also establish a limiting shape result and determine the limit distribution. In contrast to the classical Bernstein-von Mises theorem, the limit is non-Gaussian. We show that the Bayesian analysis leads to new statistical estimators outperforming the correctly calibrated MLE in a numerical simulation study.

Ben Jones, Andreas Artemiou, Bing Li.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1--23.

Abstract:
We give a probabilistic analysis of a phenomenon in statistics which, until recently, has not received a convincing explanation. This phenomenon is that the leading principal components tend to possess more predictive power for a response variable than lower-ranking ones despite the procedure being unsupervised. Our result, in its most general form, shows that the phenomenon goes far beyond the context of linear regression and classical principal components — if an arbitrary distribution for the predictor $X$ and an arbitrary conditional distribution for $Yvert X$ are chosen then any measureable function $g(Y)$, subject to a mild condition, tends to be more correlated with the higher-ranking kernel principal components than with the lower-ranking ones. The “arbitrariness” is formulated in terms of unitary invariance then the tendency is explicitly quantified by exploring how unitary invariance relates to the Cauchy distribution. The most general results, for technical reasons, are shown for the case where the kernel space is finite dimensional. The occurency of this tendency in real world databases is also investigated to show that our results are consistent with observation.

Annalisa Fabretti, Samantha Leorato.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1611--1647.

Abstract:
We propose a method to generate random distributions with known quantile distribution, or, more generally, with known distribution for some form of generalized quantile. The method takes inspiration from the random Sequential Barycenter Array distributions (SBA) proposed by Hill and Monticino (1998) which generates a Random Probability Measure (RPM) with known expected value. We define the Sequential Quantile Array (SQA) and show how to generate a random SQA from which we can derive RPMs. The distribution of the generated SQA-RPM can have full support and the RPMs can be both discrete, continuous and differentiable. We face also the problem of the efficient implementation of the procedure that ensures that the approximation of the SQA-RPM by a finite number of steps stays close to the SQA-RPM obtained theoretically by the procedure. Finally, we compare SQA-RPMs with similar approaches as Polya Tree.

Yichong Wu, Tiejun Li, Xiaoping Liu, Luonan Chen.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1269--1301.

Abstract:
Detecting the change of biological interaction networks is of great importance in biological and medical research. We proposed a simple loss function, named as CrossFDTL, to identify the network change or differential network by estimating the difference between two precision matrices under Gaussian assumption. The CrossFDTL is a natural fusion of the D-trace loss for the considered two networks by imposing the $ell _{1}$ penalty to the differential matrix to ensure sparsity. The key point of our method is to utilize the cross variables, which correspond to the sum and difference of two precision matrices instead of using their original forms. Moreover, we developed an efficient minimization algorithm for the proposed loss function and further rigorously proved its convergence. Numerical results showed that our method outperforms the existing methods in both accuracy and convergence speed for the simulated and real data.