Springfield, Virginia — The Drug Enforcement Administration announced that effective March 23, the DEA Call Center has temporarily suspended phone operations due to COVID-19 pandemic.

As the numbers of Central American migrants crossing into Mexico and the United States rises—putting migration front and center in the U.S.-Mexico relationship again—this event examines the opportunities for cooperation between the two countries, along with ways to improve U.S. and Mexican asylum systems, create new approaches to labor migration, address smuggling networks, and modernize border management.

An unannounced sweep of 98 convenience stores by U.S. immigration authorities—resulting in the arrest of 21 unauthorized workers—may signal a new approach to worksite enforcement under the Trump administration, moving away from a strategy of paper-based audits that resulted in higher employer fines and fewer worker arrests. This article explores worksite enforcement over recent decades.

Migration between Mexico and the United States has changed dramatically in recent years, but policies and political rhetoric in both countries have not always kept up. This report, which draws from discussions of a high-level Mexico-U.S. study group convened by MPI and El Colegio de México, explores this new migration reality and how the two governments could work more closely together to address shared policy challenges.

La migración entre México y Estados Unidos ha cambiado dramáticamente en los últimos años, pero las políticas y la retórica política en ambos países no se han actualizado a este contexto a la misma velocidad. Este reporte explora esta nueva realidad migratoria y cómo los dos gobiernos podrían trabajar juntos para abordar los desafíos de políticas públicas que tienen en común.

Brussels is searching for bright ideas on how to fix the Common European Asylum System. While recent EU-level legal reforms have stalled, this report examines the many innovative, operations-focused approaches Member States have used since the 2015-16 migration crisis to improve registration and reception systems, asylum case processing, and options for returning failed asylum seekers.

Allison, S. T. & Goethals, G. R. (2020). The heroic leadership imperative: How leaders inspire and mobilize change. West Yorkshire: Emerald. Our next book describes a new principle that we call the heroic leadership imperative. We show how leaders who fulfill the imperative will inspire followers and initiate social change.   The imperative consists of … Continue reading The Heroic Leadership Imperative →

APPLICATION DEADLINE OCTOBER 15, 2019 The Operations, Information and Decisions Department at the Wharton School is seeking applicants for a full-time, tenure track, Assistant Professor faculty position in the area of decision-making. Our decision-making faculty is comprised of scholars with a diverse set of backgrounds and interests, and we encourage applicants with degrees in economics, […]

The post Professorship in decision making at Wharton, Operations, Information and Decisions (OID), University of Pennsylvania appeared first on Decision Science News.

This paper is intended to provide a technical support resource for the reader in relation to the treatment of superannuation under family law.

"Gender in Air Operations (GiAO) promulgates a matter that needs to be formally articulated between major doctrinal reviews. The GiAO doctrine note seeks to inform and promote discussion on Air Force’s operational capability through integrating a gender perspective into Air Force’s doctrine to inform individual and collective training and the planning and conduct of operations."--Website.

Paris : J.-B. Baillière, 1870.

London : J. Churchill, 1865.

Stuttgart : F. Enke, 1878.

Berlin : S. Karger, 1908.

Koln : M. Du Mont-Schanberg, 1848.

Wien : Toeplitz & Deuticke, 1886.

Stuttgart : F. Enke, 1884.

Leipzig : Vogel, 1904.

Erlangen : F. Enke, 1874.

Leipzig : J.B. Hirschfeld, 1869.

Leipzig : Veit, 1894.

London : H.K. Lewis, 1891.

Paris : V.A. Delahaye, 1878.

Stuttgart : F. Enke, 1895.

Tubingen : C.F. Osiander, 1820.

Neudamm : J. Neumann, 1890.

Xiufang Liu, Dehui Wang.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 3, 638--673.

Abstract:
This paper discusses a $p$th-order dependence-driven random coefficient integer-valued autoregressive time series model ($operatorname{DDRCINAR}(p)$). Stationarity and ergodicity properties are proved. Conditional least squares, weighted least squares and maximum quasi-likelihood are used to estimate the model parameters. Asymptotic properties of the estimators are presented. The performances of these estimators are investigated and compared via simulations. In certain regions of the parameter space, simulative analysis shows that maximum quasi-likelihood estimators perform better than the estimators of conditional least squares and weighted least squares in terms of the proportion of within-$Omega$ estimates. At last, the model is applied to two real data sets.

Heat waves resulting from prolonged extreme temperatures pose a significant risk to human health globally. Given the limitations of observations of extreme temperature, climate models are often used to characterize extreme temperature globally, from which one can derive quantities like return values to summarize the magnitude of a low probability event for an arbitrary geographic location. However, while these derived quantities are useful on their own, it is also often important to apply a spatial statistical model to such data in order to, e.g., understand how the spatial dependence properties of the return values vary over space and emulate the climate model for generating additional spatial fields with corresponding statistical properties. For these objectives, when modeling global data it is critical to use a nonstationary covariance function. Furthermore, given that the output of modern global climate models can be on the order of $mathcal{O}(10^4)$, it is important to utilize approximate Gaussian process methods to enable inference. In this paper, we demonstrate the application of methodology introduced in Risser and Turek (2020) to conduct a nonstationary and fully Bayesian analysis of a large data set of 20-year return values derived from an ensemble of global climate model runs with over 50,000 spatial locations. This analysis uses the freely available BayesNSGP software package for R.

This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resource allocations. The proposed model takes into account the stochastic nature of users' travel utility perception, resulting in a probabilistic stable operation cost allocation outcome to design ticket price and ridership forecasting. We applied the model for the operation policy evaluation of a microtransit service in Luxembourg and its border area. The methodology for the model parameters estimation and calibration is developed. The results provide useful insights for the operator and the government to improve the ridership of the service.

Robert A. Vandermeulen, Clayton D. Scott.

Source: The Annals of Statistics, Volume 47, Number 5, 2704--2733.

Abstract:
When estimating finite mixture models, it is common to make assumptions on the mixture components, such as parametric assumptions. In this work, we make no distributional assumptions on the mixture components and instead assume that observations from the mixture model are grouped, such that observations in the same group are known to be drawn from the same mixture component. We precisely characterize the number of observations $n$ per group needed for the mixture model to be identifiable, as a function of the number $m$ of mixture components. In addition to our assumption-free analysis, we also study the settings where the mixture components are either linearly independent or jointly irreducible. Furthermore, our analysis considers two kinds of identifiability, where the mixture model is the simplest one explaining the data, and where it is the only one. As an application of these results, we precisely characterize identifiability of multinomial mixture models. Our analysis relies on an operator-theoretic framework that associates mixture models in the grouped-sample setting with certain infinite-dimensional tensors. Based on this framework, we introduce a general spectral algorithm for recovering the mixture components.

Ability to work with each other. In the loosely coupled environment of a service-oriented architecture, separate resources don't need to know the details of how they each work, but they need to have enough common ground to reliably exchange messages without error or misunderstanding. Standardized specifications go a long way towards creating this common ground, but differences in implementation may still lead to breakdowns in communication. Interoperability is when services can interact with each other without encountering such problems.

Zhenguo Gao, Pang Du, Ran Jin, John L. Robertson.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 143--159.

Abstract:
Liver procurement experiments with surface-temperature monitoring motivated Gao et al. ( J. Amer. Statist. Assoc. 114 (2019) 773–781) to develop a variance change-point detection method under a smoothly-changing mean trend. However, the spotwise change points yielded from their method do not offer immediate information to surgeons since an organ is often transplanted as a whole or in part. We develop a new practical method that can analyze a defined portion of the organ surface at a time. It also provides a novel addition to the developing field of functional data monitoring. Furthermore, numerical challenge emerges for simultaneously modeling the variance functions of 2D locations and the mean function of location and time. The respective sample sizes in the scales of 10,000 and 1,000,000 for modeling these functions make standard spline estimation too costly to be useful. We introduce a multistage subsampling strategy with steps educated by quickly-computable preliminary statistical measures. Extensive simulations show that the new method can efficiently reduce the computational cost and provide reasonable parameter estimates. Application of the new method to our liver surface temperature monitoring data shows its effectiveness in providing accurate status change information for a selected portion of the organ in the experiment.

Kamran Kalbasi, Thomas Mountford.

Source: Bernoulli, Volume 26, Number 2, 1504--1534.

Abstract:
In this paper, we study the local times of vector-valued Gaussian fields that are ‘diagonally operator-self-similar’ and whose increments are stationary. Denoting the local time of such a Gaussian field around the spatial origin and over the temporal unit hypercube by $Z$, we show that there exists $lambdain(0,1)$ such that under some quite weak conditions, $lim_{n ightarrow+infty}frac{sqrt[n]{mathbb{E}(Z^{n})}}{n^{lambda}}$ and $lim_{x ightarrow+infty}frac{-logmathbb{P}(Z>x)}{x^{frac{1}{lambda}}}$ both exist and are strictly positive (possibly $+infty$). Moreover, we show that if the underlying Gaussian field is ‘strongly locally nondeterministic’, the above limits will be finite as well. These results are then applied to establish similar statements for the intersection local times of diagonally operator-self-similar Gaussian fields with stationary increments.

Yi Shen, Yizao Wang.

Source: Bernoulli, Volume 26, Number 1, 500--530.

Abstract:
We propose an aggregated random-field model, and investigate the scaling limits of the aggregated partial-sum random fields. In this model, each copy in the aggregation is a $pm 1$-valued random field built from two correlated one-dimensional random walks, the law of each determined by a random persistence parameter. A flexible joint distribution of the two parameters is introduced, and given the parameters the two correlated random walks are conditionally independent. For the aggregated random field, when the persistence parameters are independent, the scaling limit is a fractional Brownian sheet. When the persistence parameters are tail-dependent, characterized in the framework of multivariate regular variation, the scaling limit is more delicate, and in particular depends on the growth rates of the underlying rectangular region along two directions: at different rates different operator-scaling Gaussian random fields appear as the region area tends to infinity. In particular, at the so-called critical speed, a large family of Gaussian random fields with long-range dependence arise in the limit. We also identify four different regimes at non-critical speed where fractional Brownian sheets arise in the limit.

Matthew Moores, Geoff Nicholls, Anthony Pettitt, Kerrie Mengersen.

Source: Bayesian Analysis, Volume 15, Number 1, 1--27.

Abstract:
The inverse temperature parameter of the Potts model governs the strength of spatial cohesion and therefore has a major influence over the resulting model fit. A difficulty arises from the dependence of an intractable normalising constant on the value of this parameter and thus there is no closed-form solution for sampling from the posterior distribution directly. There is a variety of computational approaches for sampling from the posterior without evaluating the normalising constant, including the exchange algorithm and approximate Bayesian computation (ABC). A serious drawback of these algorithms is that they do not scale well for models with a large state space, such as images with a million or more pixels. We introduce a parametric surrogate model, which approximates the score function using an integral curve. Our surrogate model incorporates known properties of the likelihood, such as heteroskedasticity and critical temperature. We demonstrate this method using synthetic data as well as remotely-sensed imagery from the Landsat-8 satellite. We achieve up to a hundredfold improvement in the elapsed runtime, compared to the exchange algorithm or ABC. An open-source implementation of our algorithm is available in the R package bayesImageS .

Italian translation of the BIS Press Release on the presentation of the Annual Report (25 June 2017)

The 2019 Report of the Technical Cooperation Programme (TCP) examines the role of the TCP to deliver FAO technical assistance for agriculture, food and nutrition in response to countries’ most [...]

Each night, the institution will post an encore showing of an opera from its "Met Live in HD" series

In this protocol, DNA fragments are separated according to size by electrophoresis through low-melting-temperature agarose, and then recovered by melting the agarose and extracting with phenol:chloroform. The protocol works best for DNA fragments ranging in size from 0.5 to 5.0 kb. Yields of DNA fragments outside this range are usually lower, but often are sufficient for many purposes.

FSI Briefs No 2, April 2020. Guidance issued by financial sector authorities in response to the Covid-19 crisis seems to suggest that international efforts to come up with operational resilience standards should take into account at least the following elements: Critical/essential employees: identifying the critical functions and employees that support important business services, as well as ensuring employees' safety and that they can safely resume their duties (remotely, if necessary); IT infrastructure: ensuring that IT infrastructure can support a sharp increase in usage over an extended period and taking steps to safeguard information security; Third-party service providers: ensuring that external service providers and/or critical suppliers are taking adequate measures and are sufficiently prepared for a scenario in which there will be heavy reliance on their services; Cyber resilience: remaining vigilant in order to identify and protect vulnerable systems, and detect, respond and recover from cyber attacks..

Press release: CPMI and IOSCO share authorities´ experiences in cooperation to increase FMI safety and efficiency, 10 December 2019

Press release "Governors and Heads of Supervision announce deferral of Basel III implementation to increase operational capacity of banks and supervisors to respond to Covid-19", 27 March 2020

Manitoba municipalities will be receiving most of their operating funding from the province sooner than usual because of the COVID-19 pandemic, the province announced Friday.

Officials with Maritime Pride Eggs say their Summerside, P.E.I., egg facility will cease processing operations on June 5.

Michell Jesse said the personal care home operators she represents have been frustrated trying to keep up with the government's direction during an already stressful time.

If you think it's cold this morning, just wait — the forecast low for Friday night is –3 C.

Sofina Foods plants in Burlington and Mississauga have each had an employee test positive.