London : printed for J. Callow, 1814.

London : Taylor and Walton, 1841.

London : H. Renshaw, 1898.

London : Bailliere, Tindall and Cox, 1910.

London : H. Renshaw, 1839.

Madras : printed by C. Foster, 1876.

Bruxelles : Etablissement Encyclographique, 1833-46.

Berlin : J.W. Boike, 1828-49.

New York : R.R. Russell, 1891.

London : printed for P. M'Queen, J. Laikington [sic], J. Mathews; Wilson and Spence, York; J. Binns, Leeds; Jo. Clarke and Co. Manchester [and 1 in Gainsborough, 1 in Leith], M.DCC.LXXXVIII [1788]

London : printed for the author, 1832.

London : J. Churchill, 1864.

London : Bailliere, Tindall and Cox, 1884.

Goettingae : Litteris Ioann. Christ. Dieterich, Acad. Typogr, [1781]

Florida's governor signed a bill that will allow schools to arm classroom teachers, part of a longer list of school safety changes made after a school shooting in Parkland, Fla., last year.

The name change comes as leaders of the school district in Mississippi's capital city, where more than 95 percent of students are African-American, are reconsidering Confederacy-linked names on three campuses.

Se vend à Paris (rue St. Jacques au dessus de la rue des Mathurins) : chez le S.r Duchange graveur ordinaire du Roy. Avec privilege du Roy, [1708?]

A Paris (rue St. Jacques audessus de la rue des Mathurins) : chez G. Duchange graveur du Roy. Avec privilege du Roy, [1708?]

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

A Paris (rue St Denis No. 214) : chez Bance aîné, [1810?]

[1856]

London (6, Pall Mall) : Published ... by Henry Graves, & Comp.y, May 10th, 1856.

[Spain?], An. 1817.

[Dresden?], [1754?]

The children exposed to high levels of lead-laced drinking water from Michigan's Flint River are entering schools now and the school system is straining to meet their special education needs.

Edinburgh, Scotland : ANSR, 1993.

Edinburgh, Scotland : ANSR, 1993.

Baden-Baden : DWV, Deutscher Wissenschafts-Verlag, 2019.

Durham, [NC] : Duke University Press, 2010.

Rockville, Maryland : National Institute on Drug Abuse, [1983]

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

Rockville, Maryland : National Institute on Drug Abuse, 1980.

Rockville, Maryland : National Institute on Drug Abuse, 1978.

[London] : [publisher not identified], [2019]

Springfield, Virginia : National Technical Information Service, 1974.

François Bachoc, José Betancourt, Reinhard Furrer, Thierry Klein.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1962--2008.

Abstract:
The asymptotic analysis of covariance parameter estimation of Gaussian processes has been subject to intensive investigation. However, this asymptotic analysis is very scarce for non-Gaussian processes. In this paper, we study a class of non-Gaussian processes obtained by regular non-linear transformations of Gaussian processes. We provide the increasing-domain asymptotic properties of the (Gaussian) maximum likelihood and cross validation estimators of the covariance parameters of a non-Gaussian process of this class. We show that these estimators are consistent and asymptotically normal, although they are defined as if the process was Gaussian. They do not need to model or estimate the non-linear transformation. Our results can thus be interpreted as a robustness of (Gaussian) maximum likelihood and cross validation towards non-Gaussianity. Our proofs rely on two technical results that are of independent interest for the increasing-domain asymptotic literature of spatial processes. First, we show that, under mild assumptions, coefficients of inverses of large covariance matrices decay at an inverse polynomial rate as a function of the corresponding observation location distances. Second, we provide a general central limit theorem for quadratic forms obtained from transformed Gaussian processes. Finally, our asymptotic results are illustrated by numerical simulations.

We introduce an optimized physics-informed neural network (PINN) trained to solve the problem of identifying and characterizing a surface breaking crack in a metal plate. PINNs are neural networks that can combine data and physics in the learning process by adding the residuals of a system of Partial Differential Equations to the loss function. Our PINN is supervised with realistic ultrasonic surface acoustic wave data acquired at a frequency of 5 MHz. The ultrasonic surface wave data is represented as a surface deformation on the top surface of a metal plate, measured by using the method of laser vibrometry. The PINN is physically informed by the acoustic wave equation and its convergence is sped up using adaptive activation functions. The adaptive activation function uses a scalable hyperparameter in the activation function, which is optimized to achieve best performance of the network as it changes dynamically the topology of the loss function involved in the optimization process. The usage of adaptive activation function significantly improves the convergence, notably observed in the current study. We use PINNs to estimate the speed of sound of the metal plate, which we do with an error of 1\%, and then, by allowing the speed of sound to be space dependent, we identify and characterize the crack as the positions where the speed of sound has decreased. Our study also shows the effect of sub-sampling of the data on the sensitivity of sound speed estimates. More broadly, the resulting model shows a promising deep neural network model for ill-posed inverse problems.

The History of Pre-Modern Medicine seminar series returns this month. The 2017–18 series – organised by a group of historians of medicine based at London universities and hosted by the Wellcome Library – will conclude with four seminars. The series… Continue reading

The next seminar in the 2017–18 History of Pre-Modern Medicine seminar series takes place on Tuesday 16 January. Speaker: Dr Catherine Rider (University of Exeter) Medieval Ideas about Infertility and Old Age Abstract: When they discussed fertility and reproductive disorders it was common… Continue reading

The next seminar in the 2017–18 History of Pre-Modern Medicine seminar series takes place on Tuesday 13 February. Speaker: Dr William Tullett (Institute of Historical Research, University of London) Smell and medical efficacy in 18th-century England Abstract: In recent years a growing scholarship… Continue reading