Leipzig : W. Engelmann, 1862.

Halle : M. Niemeyer, 1895.

Wien : Doll, 1817-

Leipzig : F. Deuticke, 1891.

Jena : Fischer, 1905.

Cassel : T. Fischer, 1884.

Leipzig : W. Engelmann, 1866.

Leipzig : Vogel, 1904.

Stuttgart : Enke, 1904.

Stuttgart : Enke, 1905.

Leipzig : F.C.W. Vogel, 1891.

Edinburgh : MacNiven & Wallace, 1896.

Paris : chez Mlle Delaunay, 1825.

Berlin : A. Hirschwald, 1870.

Paris : G. Steinheil, 1893.

London : Kenny & Co, [1895?]

Wien : W. Braumuller, 1867.

Berlin : Heuser, 1894.

Berlin : A. Hirschwald, 1896-1900.

Tubingen : H. Laupp, 1889.

Edinburgh : Oliver & Boyd, 1862.

Victoria Petersen, of the Peninsula Clarion on the Kenai Peninsula, will report on the challenges of rural education, especially in a state as vast as Alaska.

[Rome] : [Nicolaus Dorigny?], Sup. perm. 1707.

[Rome], [1725]

[Rome], [1725]

Friday's collection of links.

Stuttgart : Franz Steiner Verlag, 2019.

Stuttgart : In Kommission: Wissenschaftliche Verlagsgesellschaft, 2019.

Rockville, Maryland : The National Institute on Drug Abuse, 1976.

Rockville, Maryland : U.S. Dept. of Health, Education, and Welfare, Public Health Service, Alcohol, Drug Abuse and Mental Health Administration, 1976.

Rockville, Maryland : National Institute on Drug Abuse, 1995.

Kentaro Minami.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1508--1576.

Abstract:
We study the problem of estimating piecewise monotone vectors. This problem can be seen as a generalization of the isotonic regression that allows a small number of order-violating changepoints. We focus mainly on the performance of the nearly-isotonic regression proposed by Tibshirani et al. (2011). We derive risk bounds for the nearly-isotonic regression estimators that are adaptive to piecewise monotone signals. The estimator achieves a near minimax convergence rate over certain classes of piecewise monotone signals under a weak assumption. Furthermore, we present an algorithm that can be applied to the nearly-isotonic type estimators on general weighted graphs. The simulation results suggest that the nearly-isotonic regression performs as well as the ideal estimator that knows the true positions of changepoints.

The success of Deep Learning and its potential use in many safety-critical applicationshas motivated research on formal verification of Neural Network (NN) models. In thiscontext, verification involves proving or disproving that an NN model satisfies certaininput-output properties. Despite the reputation of learned NN models as black boxes,and the theoretical hardness of proving useful properties about them, researchers havebeen successful in verifying some classes of models by exploiting their piecewise linearstructure and taking insights from formal methods such as Satisifiability Modulo Theory.However, these methods are still far from scaling to realistic neural networks. To facilitateprogress on this crucial area, we exploit the Mixed Integer Linear Programming (MIP) formulation of verification to propose a family of algorithms based on Branch-and-Bound (BaB). We show that our family contains previous verification methods as special cases.With the help of the BaB framework, we make three key contributions. Firstly, we identifynew methods that combine the strengths of multiple existing approaches, accomplishingsignificant performance improvements over previous state of the art. Secondly, we introducean effective branching strategy on ReLU non-linearities. This branching strategy allows usto efficiently and successfully deal with high input dimensional problems with convolutionalnetwork architecture, on which previous methods fail frequently. Finally, we proposecomprehensive test data sets and benchmarks which includes a collection of previouslyreleased testcases. We use the data sets to conduct a thorough experimental comparison ofexisting and new algorithms and to provide an inclusive analysis of the factors impactingthe hardness of verification problems.

Umberto Amato, Anestis Antoniadis, Italia De Feis.

Source: Statistics Surveys, Volume 14, 32--70.

Abstract:
We present and compare some nonparametric estimation methods (wavelet and/or spline-based) designed to recover a one-dimensional piecewise-smooth regression function in both a fixed equidistant or not equidistant design regression model and a random design model. Wavelet methods are known to be very competitive in terms of denoising and compression, due to the simultaneous localization property of a function in time and frequency. However, boundary assumptions, such as periodicity or symmetry, generate bias and artificial wiggles which degrade overall accuracy. Simple methods have been proposed in the literature for reducing the bias at the boundaries. We introduce new ones based on adaptive combinations of two estimators. The underlying idea is to combine a highly accurate method for non-regular functions, e.g., wavelets, with one well behaved at boundaries, e.g., Splines or Local Polynomial. We provide some asymptotic optimal results supporting our approach. All the methods can handle data with a random design. We also sketch some generalization to the multidimensional setting. To study the performance of the proposed approaches we have conducted an extensive set of simulations on synthetic data. An interesting regression analysis of two real data applications using these procedures unambiguously demonstrates their effectiveness.

Geurt Jongbloed.

Source: Statistical Science, Volume 34, Number 1, 156--168.

Abstract:
Petrus (Piet) Groeneboom was born in Scheveningen in 1941 and grew up in Voorburg. Both villages are located near The Hague in The Netherlands; Scheveningen actually being part of The Hague. He attended the gymnasium of the Huygens lyceum. In 1959, he entered the University of Amsterdam, where he studied psychology. After his “candidate” exam (comparable to BSc) in 1963, he worked at the psychological laboratory of the University of Amsterdam until 1966. In 1965, he took up mathematics as a part-time study. After having obtained his master’s degree in 1971, he had a position at the psychological laboratory again until 1973, when he was appointed to the Mathematical Center in Amsterdam. There, he wrote between 1975 and 1979 his Ph.D. thesis with Kobus Oosterhoff as advisor, graduating in 1979. After a period of two years as visiting professor at the University of Washington (UW) in Seattle, Piet moved back to the Mathematical Center until he was appointed full professor of statistics at the University of Amsterdam in 1984. Four years later, he moved to Delft University of Technology where he became professor of statistics and stayed until his retirement in 2006. Between 2000 and 2006 he also held a part-time professorship at the Vrije Universiteit in Amsterdam. From 1999 till 2013 he was Affiliate Professor at the statistics department of UW, Seattle. Apart from being visiting professor at the UW in Seattle, he was also visiting professor at Stanford University, Université Paris 6 and ETH Zürich. Piet is well known for his work on shape constrained statistical inference. He worked on asymptotic theory for these problems, created algorithms to compute nonparametric estimates in such models and applied these models to real data. He also worked on interacting particle systems, extreme value analysis and efficiency theory for testing procedures. Piet (co-)authored four books and 64 papers and served as promotor of 13 students. He is the recipient of the 1985 Rollo Davidson prize, a fellow of the IMS and elected member of the ISI. In 2015, he delivered the Wald lecture at the Joint Statistical Meeting in Montreal. Piet and his wife Marijke live in Naarden. He has two sons, Thomas and Tim, and (since June 12, 2018) one grandson, Tarik. This conversation was held at Piet’s house in Naarden, on February 28 and April 24, 2018.

The extent of the toy’s durability came as a 'surprise' to researchers behind a new study

Thieves pilfered "The Parsonage Garden at Nuenen in Spring 1884" from the Singer Laren in the early hours of Monday morning

We’re really, really sorry

The crustaceans' guts pulverize plastics into tiny bits that can be consumed by even smaller creatures at the base of the ocean food chain

The COVID-19 pandemic has meant a spike in demand for puppies and an opportunity for scammers who are charging inflated prices for dogs not ready to be adopted out or with missing or bogus papers.

Some residents of Canmore, Alta., are mourning the death of an unusual elk that went by the name of Marvin. He was known to frequent backyards and hang out with pets.

The bonspiel took place in Edmonton March 11-14, starting the same day COVID-19 was declared a global pandemic.

By offering a creative class for women, an OM worker finds ways to transform broken tiles into art and make relationships where she can share God’s truth.

Lauren Taylor catches up with the popular TV chef, after he explores the Med for his new show and cookbook.

THE 2000 film Almost Famous told the love story of a schoolboy writer tracking a rock band and falling for a teenage girl – who happens to be a groupie. Or was she?

Source: EFE Verde - La ex secretaria de cambio climático de la ONU que alcanzó el Acuerdo de París y actual directora del proyecto Misión 2020, Christiana Figueres, subraya que EE.UU. "se queda rezagado y pierde competitividad" abandonando el Acuerdo de París y cediendo a otros países el liderazgo de la economía baja en carbono.

Extremely preterm infants who receive antihypotensive therapy have worse outcomes than untreated infants. The reasons for this are not clear. High-quality randomized trials have not been performed to date because of logistical challenges, thereby necessitating alternative methods of investigation.

Antihypotensive therapy administration was not associated with improved in-hospital outcomes for any of the 15 definitions of low blood pressure investigated. Alternative methods of deciding who to treat are needed to maximize patient benefit and minimize harm. (Read the full article)

The American Academy of Pediatrics has recommended that sibling donors should have an independent advocate. Defining the need for and role of this advocate is hampered by a lack of empirical data.

This study provides prospective family data regarding siblings’ experiences during HLA typing and donation pre- and posttransplantation. Most family members, including the siblings, perceive no choice in typing or donation, yet have few concerns and report positive aspects to participating. (Read the full article)