Private schools in New York soon will be required to report suspected sexual abuse of students in their schools to law enforcement, bringing the independent schools under the same rules as public schools.

Originally published as "Her Secret Island of Sex and Torment" in 2014. Rereleased as "Her Secret Island" in 2016.

Amid the rich, luxuriously sexual hotbed of Las Vegas hides secrets, lies, mystery, and murder.Tahlia Johnston is on the run from a horror she barely remembers, and a stalker chasing her in her dreams and in real life. Then, at a gas station in the middle of nowhere, the most incredible looking man walks into her life. Vegas is an oozing package of masculine sexuality who's rough around the edges and ready for anything. Especially sexual. He has a past he'll be damned if he reveals and a list of secrets to hide, and his list of problems soon grows longer -- From the Internet.

Follow the meteoric rise of 70s porn star, Carlo Stefan, and the rocky path he took to find the life and love he craved in the Porn Star Brothers series. Carlos Stephanopoulos is the eldest of three brothers. Australian born and Greek Island raised, he loves women, sex, and money, and not necessarily in that order. He lives the good life, screwing women of all ages morning, noon and night until one night the good life comes to a screeching halt. On the run with only a suitcase and money, he winds up in Hollywood working in porn movies, with a new name and new look, only to become the biggest porn star around... but his troubles are not over.

Follow the meteoric rise of 70s porn star, Pedro Stefan, and the rocky path he took to find the life and love he craves. Pedro Stephanopoulos is the youngest of three, Australian born and Greek Island raised brothers. He loves music and being a Dj on Santorini. He lives the good life Djing four nights a week in a great job, gets a great girl, and then finds himself on the run from her over-protective father who takes matters into his own hands. Finding himself in New York, he gets the Dj gig at the hottest new club in the city and is living the high life, until it all comes crashing down with a stalker, creepy gifts, a beating, and a kidnapping.

Follow the meteoric rise of 70s porn star, Tomas Stefan, and his rocky path to find life and love. Tomas Stephanopoulos is the second of three Australian born and Greek Island raised brothers. He loves his job as a personal trainer and has no interest in emulating his elder brother by bedding all of the eligible women on the island. He lives the good life, training the ladies at the island's resort, and taking on personal clients at night. Then he meets one client who wants more than personal training, a client who wants intimate training. With his brothers on the run, he chooses to spread his wings and moves to Miami to personally train the ladies who were his clients back on Mykonos. After meeting the love of his life he moves into porn movies with a new name and a new life, but the drama has followed him from home and continues with his lover's car being trashed, porn stars being killed off, and a double kidnapping that leads to a dramatic car chase across the country.

Diabetes in pregnancy -- Treatment -- Popular works.

Wild plants, Edible.

Data protection -- Law and legislation -- Australia.

Clementi, Tyler.

Adelaide Festival -- History.

1953.

1953.

London : J. Churchill, 1845.

Berlin : A. Goldschmidt, 1890.

Jena : Fischer, 1904.

Leipzig : Duncker & Humblot, 1898.

Edinburgh : J. Dunn, 1826.

Halifax : Milner and Sowerby, 1856.

Halifax : Milner and Sowerby, 1860.

London : printed for A. Strahan, T. Cadell, 1790.

London : And J. Balfour, and W. Creech, Edinburgh, 1791.

London : printed for A. Strahan and T. Cadell, London, 1794.

Edinburgh : printed for Thomas Nelson, 1820.

London : printed for A. Strahan, and T. Cadell jun. and W. Davies, (successors to Mr. Cadell,) in the Strand, 1797.

London : printed for A. Strahan, T. Cadell jun. and W. Davies, 1800.

London : And J. Balfour, and W. Creech, Edinburgh, 1805.

London : printed for A. Strahan, T. Cadell and W. Davies, 1803.

Manchester : printed by S. Russell, 1806.

London : J. Johnson, 1807.

London : F.C. and J. Rivington, 1813.

Dunbar : printed by and for G. Miller, 1817.

London : Blackie, 1870-1872.

Florida lawmakers sent Gov. Ron DeSantis a Republican-crafted bill last week to create a new voucher program for students to attend private schools, including religious ones, using taxpayer dollars traditionally spent on public schools.

London (24, Cornhill) : Published by F.G. Harding ; [London] (147, Strand) : & J. McCormick, October 1831 ([London] : Printed by Lahee)

State data show more than 200 of Michigan's private schools have closed over the past decade, and many school leaders are blaming a shrinking student population, fewer resources, and rising costs.

London : Reproductive Health Matters, 1993-2018.

London : Reproductive Health Matters, 1993-2018.

On the day Kobe Bryant suddenly passed away, the Beavers embraced their rivals at midcourt in a moment of strength to support the Ducks, many of whom had personal connections to Bryant and his daughter, Gigi. For this, Oregon State is the 2020 recipient of the Pac-12 Sportsmanship Award.

Daren Wang, Yi Yu, Alessandro Rinaldo.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1917--1961.

Abstract:
The problem of univariate mean change point detection and localization based on a sequence of $n$ independent observations with piecewise constant means has been intensively studied for more than half century, and serves as a blueprint for change point problems in more complex settings. We provide a complete characterization of this classical problem in a general framework in which the upper bound $sigma ^{2}$ on the noise variance, the minimal spacing $Delta $ between two consecutive change points and the minimal magnitude $kappa $ of the changes, are allowed to vary with $n$. We first show that consistent localization of the change points is impossible in the low signal-to-noise ratio regime $frac{kappa sqrt{Delta }}{sigma }preceq sqrt{log (n)}$. In contrast, when $frac{kappa sqrt{Delta }}{sigma }$ diverges with $n$ at the rate of at least $sqrt{log (n)}$, we demonstrate that two computationally-efficient change point estimators, one based on the solution to an $ell _{0}$-penalized least squares problem and the other on the popular wild binary segmentation algorithm, are both consistent and achieve a localization rate of the order $frac{sigma ^{2}}{kappa ^{2}}log (n)$. We further show that such rate is minimax optimal, up to a $log (n)$ term.

Mikael Escobar-Bach, Yuri Goegebeur, Armelle Guillou.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1773--1795.

Abstract:
We consider bias-corrected estimation of the stable tail dependence function in the regression context. To this aim, we first estimate the bias of a smoothed estimator of the stable tail dependence function, and then we subtract it from the estimator. The weak convergence, as a stochastic process, of the resulting asymptotically unbiased estimator of the conditional stable tail dependence function, correctly normalized, is established under mild assumptions, the covariate argument being fixed. The finite sample behaviour of our asymptotically unbiased estimator is then illustrated on a simulation study and compared to two alternatives, which are not bias corrected. Finally, our methodology is applied to a dataset of air pollution measurements.

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.

We present new practical local differentially private heavy hitters algorithms achieving optimal or near-optimal worst-case error and running time -- TreeHist and Bitstogram. In both algorithms, server running time is $ ilde O(n)$ and user running time is $ ilde O(1)$, hence improving on the prior state-of-the-art result of Bassily and Smith [STOC 2015] requiring $O(n^{5/2})$ server time and $O(n^{3/2})$ user time. With a typically large number of participants in local algorithms (in the millions), this reduction in time complexity, in particular at the user side, is crucial for making locally private heavy hitters algorithms usable in practice. We implemented Algorithm TreeHist to verify our theoretical analysis and compared its performance with the performance of Google's RAPPOR code.