Londres : L’Auteur, 1834.

Representatives from school districts, state education agencies, and institutions of higher education in Idaho convene to discuss teacher recruitment and retention.

As Oklahoma teachers prepare for day four of their statewide walkout, here's a guide to the larger picture of teacher protests.

The court revived a lawsuit claiming that Mississippi's lack of a "uniform" education system violates the 1868 federal law that readmitted the state to the Union.

Paris (rue de la Vannerie a l'image St. Michel) : Dupuis graveur du Roy, [1721]

Amstelodami : Typis A. Wolfgang, 1674.

A Paris : Chez Iean Dhourry, au bout du Pont-Neuf, près les Augustins, à l'Image S. Iean, M. DC. LXI. [1661]

Paris ; Londres ; La Haye : Imprimé & publié par Boussod, Valadon & Cie, éditeurs successeurs de Goupil & Cie ; Berlin : Verlag von Boussod, Valadon & Co. ; New-York : Published by M. Knoedler & Co., Le 1er Juin 1886.

[London?] : [Illustrated London News?], [between 1850 and 1870?]

[19--?]

London (Braynes-Row, Spa-Fields) : Publish'd ... by R. Pollard printseller, Jany: 30th; 1797.

[London?]

London (in Cheapside) : Published according to Act of Parliament, by J Boydell engraver, 1763.

[Dresden?], [1754?]

[between 1700 and 1799]

A Paris (rue St Jacques au dessus de celle des Mathurins au Gd. St. Remy : ches Huquier fils, graveur, [between 1700 and 1799]

[London] (No 69 St Paul's Churchyard) : Printed for Carington Bowles ; [London] (opposite Fetter Lane, Fleet Street) : Robt. Sayer ; [London] (in Cornhil) : Robert Wilkinson, [between 1700 and 1799]

A Paris (rue St Jacques au dessus de celle des Mathurins au Gd. St. Remy) : ches Huquier fils, graveur, [between 1700 and 1799]

A Paris (rue St Jacques a l'Hotel Saumur) : chez Mondhare, [between 1760 and 1792]

[Paris] : [publisher not identified], 1782.

London : Printed & sold by Thos. & John Bowles, printsellers, [1728]

[London] : [Thomas. Bowles] : [John Bowles], [1728]

Could they lose one or more of Murray, Jarry, and DeSmith?

The Boston Bruins didn't take long to put the painful memory of the 2010 Stanley Cup Playoffs behind them.

Is the Bruins' most recent exit from the Stanley Cup Playoffs also their most heartbreaking? Joe Haggerty counts down the biggest playoff disappointments, including way too many losses against the B's archrivals, the Montreal Canadiens.

The Flyers have had quite a bit of luck when drafting players from the Brandon Wheat Kings. Could they keep their streak alive with Braden Schneider in the first round of the 2020 NHL draft? By Brooke Destra

It's been two years since Kuzy sent the Caps to the Eastern Conference Final with a legendary goal in overtime.

Old habits die hard, and for Hall of Fame goalie Gerry Cheevers, the Bruins-Canadiens rivalry manifested when Cheesy took a shot a Montreal's Carey Price during a Zoom town hall with B's season-ticket holders on Thursday.

The Boston Bruins had planned on opening up their 2020-21 NHL regular season overseas against the Nashville Predators in Prague as part of the NHL Global Series, but that plan to visit the Czech Republic has now been postponed.

Few things in sports are better than overtime in the Stanley Cup Playoffs, and May 8 has seen the Boston Bruins play in a couple memorable games that required bonus hockey.

Controversy over an intiative aimed a reducing inequities in Lee's Summit, Mo., schools led the police department to provide security protection for the district's first African-American superintendent. Now the school board has reversed course.

Paris, [France] : J.B. Baillière, Libraire de l'Académie Impériale de Médicine, 1854.

Rockville, Maryland : National Institute on Drug Abuse, 1982.

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

New York : Experimental Manpower Laboratory at Mobilization for Youth, Inc., [1971]

[Rockville, Md.?] : U.S. Dept. of Health and Human Services, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration, National Institute on Drug Abuse, 1983.

[Dorchester] : Dorset Community NHS Trust, 1997.

São Paulo : Governo do Estado de Sao Paulo, Secretaria da Segurança Pública, 1975.

São Paulo : Serviço Grafíco da Secretaria da Segurança Pública, 1976.

Learn how Oregon stars Sabrina Ionescu and Ruthy Hebard developed a lasting bond as college freshmen and carried that through storied four-year careers for the Ducks. Watch "Our Stories Unfinished Business: Sabrina Ionescu and Ruthy Hebard" debuting Wednesday, April 15 at 7 p.m. PT/ 8 p.m. MT on Pac-12 Network.

Watch the debut of "Our Stories - Natalie Chou" on Sunday, May 10 at 12:30 p.m. PT/ 1:30 p.m. MT on Pac-12 Network.

Arvind Prasadan, Raj Rao Nadakuditi, Debashis Paul.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 345--385.

Abstract:
Singular value decomposition (SVD) based principal component analysis (PCA) breaks down in the high-dimensional and limited sample size regime below a certain critical eigen-SNR that depends on the dimensionality of the system and the number of samples. Below this critical eigen-SNR, the estimates returned by the SVD are asymptotically uncorrelated with the latent principal components. We consider a setting where the left singular vector of the underlying rank one signal matrix is assumed to be sparse and the right singular vector is assumed to be equisigned, that is, having either only nonnegative or only nonpositive entries. We consider six different algorithms for estimating the sparse principal component based on different statistical criteria and prove that by exploiting sparsity, we recover consistent estimates in the low eigen-SNR regime where the SVD fails. Our analysis reveals conditions under which a coordinate selection scheme based on a sum-type decision statistic outperforms schemes that utilize the $ell _{1}$ and $ell _{2}$ norm-based statistics. We derive lower bounds on the size of detectable coordinates of the principal left singular vector and utilize these lower bounds to derive lower bounds on the worst-case risk. Finally, we verify our findings with numerical simulations and a illustrate the performance with a video data where the interest is in identifying objects.

The Neyman-Pearson (NP) paradigm in binary classification seeks classifiers that achieve a minimal type II error while enforcing the prioritized type I error controlled under some user-specified level $alpha$. This paradigm serves naturally in applications such as severe disease diagnosis and spam detection, where people have clear priorities among the two error types. Recently, Tong, Feng, and Li (2018) proposed a nonparametric umbrella algorithm that adapts all scoring-type classification methods (e.g., logistic regression, support vector machines, random forest) to respect the given type I error (i.e., conditional probability of classifying a class $0$ observation as class $1$ under the 0-1 coding) upper bound $alpha$ with high probability, without specific distributional assumptions on the features and the responses. Universal the umbrella algorithm is, it demands an explicit minimum sample size requirement on class $0$, which is often the more scarce class, such as in rare disease diagnosis applications. In this work, we employ the parametric linear discriminant analysis (LDA) model and propose a new parametric thresholding algorithm, which does not need the minimum sample size requirements on class $0$ observations and thus is suitable for small sample applications such as rare disease diagnosis. Leveraging both the existing nonparametric and the newly proposed parametric thresholding rules, we propose four LDA-based NP classifiers, for both low- and high-dimensional settings. On the theoretical front, we prove NP oracle inequalities for one proposed classifier, where the rate for excess type II error benefits from the explicit parametric model assumption. Furthermore, as NP classifiers involve a sample splitting step of class $0$ observations, we construct a new adaptive sample splitting scheme that can be applied universally to NP classifiers, and this adaptive strategy reduces the type II error of these classifiers. The proposed NP classifiers are implemented in the R package nproc.