George C. Linderman and Stefan Steinerberger
Math. Comp. 89 (2020), 1933-1952.
Abstract, references and article information

Y. Genzmer and M. E. Hernandes
Trans. Amer. Math. Soc. 373 (2020), 3693-3707.
Abstract, references and article information

Greg Martin and Nathan Ng
Trans. Amer. Math. Soc. 373 (2020), 3561-3607.
Abstract, references and article information

Boris Adamczewski, Julien Cassaigne and Marion Le Gonidec
Trans. Amer. Math. Soc. 373 (2020), 3085-3115.
Abstract, references and article information

M. V. Pratsiovytyi and S. P. Ratushniak
Theor. Probability and Math. Statist. 99 (2020), 211-228.
Abstract, references and article information

(Queensland University of Technology) Your house number could be the key to the safe relaxation of COVID-19-related restrictions if governments follow a new exit strategy proposal published today in the British Medical Journal. Co-authored by QUT statistician Professor Adrian Barnett, the paper proposes the use of an 'odds-and-evens' approach to allowing people to head back to work and enjoy other activities after weeks of lockdown.

Richard O. White
Oct 1, 2010; 23:238-243
Articles

7 May 2020 , Volume 96, Number 3

An error occurs because of an incorrectly generated CREATE INDEX clause in an SQL query that is sent to DB2 when the DB2 schema value is SESSION . The error message says "The name '; index_name '; has the wrong number of qualifie

Using the NCR form of a surrogate pair as an input string to the UNICODE function does not convert the string to the appropriate display character.

In this article, I share my two final case studies, which examine changing our cultural attitudes to enhance productivity. Case study #5 – The role of punctuality An entrepreneur named Michael Fairbanks, who specialises in developing...

A UK general election has been called - polling day is on the 12th of December, and from now until then we’re going to be bringing you a weekly election-themed podcast. We want to help you make sense of the promises and pledges, claims and counter-claims, that are being made around healthcare and the NHS out on the campaign trail. This week has...

Research Event

The number of people in Germany infected with covid-19, could be 10 times higher than official government estimates, according to a new study by University of Bonn researchers.1The Heinsberg study is...

Research Event

Monthly apprehension statistics at the Southwest border have become a preoccupation for the Trump administration, which compares the 2018 numbers to 2017 and declares a crisis. Yet it was 2017, when the "Trump effect" temporarily paused illegal crossings, that was the outlier. Recent trends have reverted to the pattern seen in 2016, a result notable at a time of very low U.S. unemployment, as this commentary explores.

Award winners for the inaugural year of the E Pluribus Unum Prizes program were honored at a reception at the Library of Congress in Washington, DC in 2009.

Award winners were honored at the second annual awards ceremony in Washington, DC, on May 18, 2010.

Winners of the 2nd annual E Pluribus Unum Prizes awarded to exceptional immigrant integration initiatives by MPI's National Center on Immigrant Integration Policy are the Illinois New Americans Integration Initiative; the Latino Community Credit Union in Durham, NC; Tacoma Community House in Tacoma, WA; and Upwardly Global in San Francisco, CA. McDonald's Corp. of Oak Brook, IL, received the sole honorable mention. The Prizes seek to reward exemplary efforts that uphold and update the ideal of "out of many, one" and inspire others to take on the important work of helping immigrants and their children join the mainstream of U.S. society as well as build stronger ties between immigrants and the native-born. Award winners were honored at the second annual awards ceremony in Washington, DC, on May 18, 2010. Watch highlights of the ceremony here.

This awards ceremony, honoring the 2011 recipients of the E Pluribus Unum Prizes — a national awards program for exceptional immigrant integration initiatives — featured panel discussions with the awardees and federal officials and remarks by White House Director of Intergovernmental Affairs Cecilia Muñoz and Assistant Secretary of Education Brenda Dann-Messier.

This awards ceremony, honoring the 2011 recipients of the E Pluribus Unum Prizes -- a national awards program for exceptional immigrant integration initiatives -- featured panel discussions with the awardees and federal officials and remarks by White House Director of Intergovernmental Affairs Cecilia Muñoz and Assistant Secretary of Education Brenda Dann-Messier.

The winners of the Migration Policy Institute's 2012 E Pluribus Unum Prizes, honoring exceptional immigrant integration initiatives in the United States, discussed their work during a plenary luncheon on September 24, 2012 at the National Immigrant Integration Conference held in Baltimore, MD.

The winners of the Migration Policy Institute's 2012 E Pluribus Unum Prizes--ACCESS (the Arab Community Center for Economic and Social Services), Building Skills Partnership, Californians Together, and Citi Community Development--discussed their immigrant integration initiatives at the National Immigrant Integration Conference.

This awards ceremony honored the 2013 winners of the E Pluribus Unum Prizes, which provides $50,000 prizes to exceptional U.S. immigrant integration initiatives. The awardees took part in a panel discussion with White House and state officials, followed by remarks from Congressman Luis Gutierrez and U.S. Senator Amy Klobuchar.

A North Carolina man said the lottery numbers he took from a fortune cookie earned him a $2 million jackpot after five years of using them to play Mega Millions.

Based on the newest forecasting models, AccuWeather forecasters have extended the upper range of hurricanes predicted for the Atlantic hurricane season.

The Trump administration’s plan to create a "merit-based" U.S. immigration system, lessening the longstanding focus on family reunification in favor of more economic migrants, has met with a lackluster response from Democrats and Republicans alike. This Policy Beat article explores how the Trump proposal would reshape immigration to the United States, and how it compares to selection systems in other countries and past debates about changing the U.S. system.

(I am in the USA). There was 8 Henry s https://en.wikipedia.org/wiki/Henry_VIII_of_England

Minister for Asylum Deterrence & Foreign Investment, Peter Ruddick, is en route to the remote Pulcherrima Island, the site of his latest privately-run, fast food chain-inspired detention centre. But chaos ensues when Peter misses his connecting flight and finds himself confined to the visa-free zone of the Turgrael airport, without a business lounge in sight.

Genealogy -- Bibliography.

Genealogy

Genealogy -- Computer network resources -- Directories.

Edinburgi : Excudebant Balfour et Smellie, 1782.

Tubingen : H. Laupp, Jr, 1889.

Bath : And sold by Underwood, London, 1825.

Alex Ovechkin can lay claim as the best Capitals player to wear No. 8, but what about the rest of the jersey numbers? Who are the best Caps for every number?

Alex Ovechkin can lay claim as the best Capitals player to wear No. 8, but what about the rest of the jersey numbers? Who are the best Caps for every number?

Ryoya Oda, Hirokazu Yanagihara.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1386--1412.

Abstract:
We put forward a variable selection method for selecting explanatory variables in a normality-assumed multivariate linear regression. It is cumbersome to calculate variable selection criteria for all subsets of explanatory variables when the number of explanatory variables is large. Therefore, we propose a fast and consistent variable selection method based on a generalized $C_{p}$ criterion. The consistency of the method is provided by a high-dimensional asymptotic framework such that the sample size and the sum of the dimensions of response vectors and explanatory vectors divided by the sample size tend to infinity and some positive constant which are less than one, respectively. Through numerical simulations, it is shown that the proposed method has a high probability of selecting the true subset of explanatory variables and is fast under a moderate sample size even when the number of dimensions is large.

Niansheng Tang, Xiaodong Yan, Xingqiu Zhao.

Source: The Annals of Statistics, Volume 48, Number 1, 607--627.

Abstract:
This article considers simultaneous variable selection and parameter estimation as well as hypothesis testing in censored survival models where a parametric likelihood is not available. For the problem, we utilize certain growing dimensional general estimating equations and propose a penalized generalized empirical likelihood, where the general estimating equations are constructed based on the semiparametric efficiency bound of estimation with given moment conditions. The proposed penalized generalized empirical likelihood estimators enjoy the oracle properties, and the estimator of any fixed dimensional vector of nonzero parameters achieves the semiparametric efficiency bound asymptotically. Furthermore, we show that the penalized generalized empirical likelihood ratio test statistic has an asymptotic central chi-square distribution. The conditions of local and restricted global optimality of weighted penalized generalized empirical likelihood estimators are also discussed. We present a two-layer iterative algorithm for efficient implementation, and investigate its convergence property. The performance of the proposed methods is demonstrated by extensive simulation studies, and a real data example is provided for illustration.

Changliang Zou, Guanghui Wang, Runze Li.

Source: The Annals of Statistics, Volume 48, Number 1, 413--439.

Abstract:
In multiple change-point analysis, one of the major challenges is to estimate the number of change-points. Most existing approaches attempt to minimize a Schwarz information criterion which balances a term quantifying model fit with a penalization term accounting for model complexity that increases with the number of change-points and limits overfitting. However, different penalization terms are required to adapt to different contexts of multiple change-point problems and the optimal penalization magnitude usually varies from the model and error distribution. We propose a data-driven selection criterion that is applicable to most kinds of popular change-point detection methods, including binary segmentation and optimal partitioning algorithms. The key idea is to select the number of change-points that minimizes the squared prediction error, which measures the fit of a specified model for a new sample. We develop a cross-validation estimation scheme based on an order-preserved sample-splitting strategy, and establish its asymptotic selection consistency under some mild conditions. Effectiveness of the proposed selection criterion is demonstrated on a variety of numerical experiments and real-data examples.