Invitation Only Research Event

Event participants

Professor Keun-Wook Paik, Associate Fellow, Energy, Environment and Resources Department, Chatham House
Chair: John Lough, Associate Fellow, Russia and Eurasia Programme, Chatham House

Though a faceoff between the U.S. executive and legislative branches is now in the courts, with President Trump's decision to declare a national emergency so he can allocate more money for construction of a border wall, a less-noted dispute has been taking place over the Department of Homeland Security's decision to add thousands more immigration detention beds than Congress provides annually, as this article explains.

Martha M. Funnell
Jul 1, 2004; 22:123-127
Feature Articles

Closing the U.S.-Mexico border and cutting off aid to Central America would only feed the crisis unfolding at key points along the U.S.-Mexico border. This commentary outlines a range of immediate and long-term policy responses that would more effectively address the complex mix of factors fueling rising Central American migration to the United States.

Oh would that 'less laws/more liberty/more state capital power' look anything like Mike Pence's Religious Freedom Restoration Act or in other words the 'we Conservative Republican Christians are such oppressed persecuted victims WAAAAA WAAAA' Bill. https://www.youtube.com/watch?v=KIikqPmbgvI 

In the interest of promoting democracy, Pakistan's president, Gen. Pervez Musharraf, recently announced that he had to lock up most of his country's democracy activists. And because he wanted the Pakistani Supreme Court to independently rule on whether he could continue as president, Musharraf also...

Have you seen the photo of Republican vice presidential nominee Sarah Palin brandishing a rifle while wearing a U.S. flag bikini? Have you read the e-mail saying Democratic presidential nominee Barack Obama was sworn into the U.S. Senate with his hand placed on the Koran? Both are fabricated -- and...

There is so much that is peculiar, irregular, silly, or downright twisted in mathematical verbiage that, certainly, we could all benefit from some soul-searching on the language of our culture. Some of mathematics usage is confusing (e. g. overuse of … Continue reading →

Martha M. Funnell
Jul 1, 2004; 22:123-127
Feature Articles

The coronavirus pandemic is affecting billions of people around the world today. Coronavirus, now called covid 19, is a type of virus that is usually found in animals and is rarely transmitted to humans. According to reports from the World Health Organization, covid 19 likely originated from a seafood and meat market in Wuhan, China, […]

Some states, such as California, Kentucky and North Dakota plan to use the Every Student Succeeds Act to bolster the decision-making powers of their local school boards in the coming years.

In this fifth installment on the growth in dual-language learning, the executive director of the BUENO Center for Multicultural Education at the University of Colorado, Boulder., says districts should focus on the what students and their families need, not what educators want.

Memory.

Heredity -- Genetics.

Catholic Church -- Clergy -- Sexual behavior.

Feminism.

Rugg, Sally -- Political activists.

Self-actualization (Psychology) in old age.

London : Cassell, 1884.

Impact Academy at Orchard Lake is among a growing number of public schools where teachers have a say in what goes on, from the learning approach to staffing and scheduling.

[The Netherlands] : [publisher not identified], [1688]

Stuttgart : Franz Steiner Verlag, 2019.

Abbas Pak, M. E. Ghitany, Mohammad Reza Mahmoudi.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 4, 894--914.

Abstract:
This paper focuses on Bayesian estimation of the parameters and reliability function of the power Lindley distribution by using various symmetric and asymmetric loss functions. Assuming suitable priors on the parameters, Bayes estimates are derived by using squared error, linear exponential (linex) and general entropy loss functions. Since, under these loss functions, Bayes estimates of the parameters do not have closed forms we use lindley’s approximation technique to calculate the Bayes estimates. Moreover, we obtain the Bayes estimates of the parameters using a Markov Chain Monte Carlo (MCMC) method. Simulation studies are conducted in order to evaluate the performances of the proposed estimators under the considered loss functions. Finally, analysis of a real data set is presented for illustrative purposes.

Rodrigo Citton P. dos Reis, Enrico A. Colosimo, Gustavo L. Gilardoni.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 2, 374--396.

Abstract:
In the data analysis from multiple repairable systems, it is usual to observe both different truncation times and heterogeneity among the systems. Among other reasons, the latter is caused by different manufacturing lines and maintenance teams of the systems. In this paper, a hierarchical model is proposed for the statistical analysis of multiple repairable systems under different truncation times. A reparameterization of the power law process is proposed in order to obtain a quasi-conjugate bayesian analysis. An empirical Bayes approach is used to estimate model hyperparameters. The uncertainty in the estimate of these quantities are corrected by using a parametric bootstrap approach. The results are illustrated in a real data set of failure times of power transformers from an electric company in Brazil.

The transfer learning technique is widely used to learning in one context and applying it to another, i.e. the capacity to apply acquired knowledge and skills to new situations. But is it possible to transfer the learning from a deep neural network to a weaker neural network? Is it possible to improve the performance of a weak neural network using the knowledge acquired by a more powerful neural network? In this work, during the training process of a weak network, we add a loss function that minimizes the distance between the features previously learned from a strong neural network with the features that the weak network must try to learn. To demonstrate the effectiveness and robustness of our approach, we conducted a large number of experiments using three known datasets and demonstrated that a weak neural network can increase its performance if its learning process is driven by a more powerful neural network.

Hong Zhang, Tiejun Tong, John Landers, Zheyang Wu.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 178--201.

Abstract:
The $p$-value combination approach is an important statistical strategy for testing global hypotheses with broad applications in signal detection, meta-analysis, data integration, etc. In this paper we extend the classic Fisher’s combination method to a unified family of statistics, called TFisher, which allows a general truncation-and-weighting scheme of input $p$-values. TFisher can significantly improve statistical power over the Fisher and related truncation-only methods for detecting both rare and dense “signals.” To address wide applications, analytical calculations for TFisher’s size and power are deduced under any two continuous distributions in the null and the alternative hypotheses. The corresponding omnibus test (oTFisher) and its size calculation are also provided for data-adaptive analysis. We study the asymptotic optimal parameters of truncation and weighting based on Bahadur efficiency (BE). A new asymptotic measure, called the asymptotic power efficiency (APE), is also proposed for better reflecting the statistics’ performance in real data analysis. Interestingly, under the Gaussian mixture model in the signal detection problem, both BE and APE indicate that the soft-thresholding scheme is the best, the truncation and weighting parameters should be equal. By simulations of various signal patterns, we systematically compare the power of statistics within TFisher family as well as some rare-signal-optimal tests. We illustrate the use of TFisher in an exome-sequencing analysis for detecting novel genes of amyotrophic lateral sclerosis. Relevant computation has been implemented into an R package TFisher published on the Comprehensive R Archive Network to cater for applications.

Chanmin Kim, Michael J. Daniels, Joseph W. Hogan, Christine Choirat, Corwin M. Zigler.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1927--1956.

Abstract:
Emission control technologies installed on power plants are a key feature of many air pollution regulations in the US. While such regulations are predicated on the presumed relationships between emissions, ambient air pollution and human health, many of these relationships have never been empirically verified. The goal of this paper is to develop new statistical methods to quantify these relationships. We frame this problem as one of mediation analysis to evaluate the extent to which the effect of a particular control technology on ambient pollution is mediated through causal effects on power plant emissions. Since power plants emit various compounds that contribute to ambient pollution, we develop new methods for multiple intermediate variables that are measured contemporaneously, may interact with one another, and may exhibit joint mediating effects. Specifically, we propose new methods leveraging two related frameworks for causal inference in the presence of mediating variables: principal stratification and causal mediation analysis. We define principal effects based on multiple mediators, and also introduce a new decomposition of the total effect of an intervention on ambient pollution into the natural direct effect and natural indirect effects for all combinations of mediators. Both approaches are anchored to the same observed-data models, which we specify with Bayesian nonparametric techniques. We provide assumptions for estimating principal causal effects, then augment these with an additional assumption required for causal mediation analysis. The two analyses, interpreted in tandem, provide the first empirical investigation of the presumed causal pathways that motivate important air quality regulatory policies.

The bombastic military parade through Moscow's Red Square on Saturday was slated to be the spectacle of the year on the Kremlin's calendar. Standing with Chinese leader Xi Jinping and French President Emmanuel Macron, President Vladimir Putin would have overseen a 90-minute procession of Russia's military might, showcasing 15,000 troops and the latest hardware. Now, military jets will roar over an eerily quiet Moscow, spurting red, white and blue smoke to mark 75 years since the defeat of Nazi Germany.

Junhui Cai, Avishai Mandelbaum, Chaitra H. Nagaraja, Haipeng Shen, Linda Zhao.

Source: Statistical Science, Volume 34, Number 4, 669--691.

Abstract:
Statisticians are finding their place in the emerging field of data science. However, many issues considered “new” in data science have long histories in statistics. Examples of using statistical thinking are illustrated, which range from exploratory data analysis to measuring uncertainty to accommodating nonrandom samples. These examples are then applied to service networks, baseball predictions and official statistics.

Jeremy R. Manning
Oct 28, 2009; 29:13613-13620
BehavioralSystemsCognitive

Global food security largely depends on smallholder family farms where in many regions of the world women play a crucial role as both producers and providers of food. Studies show that when women and other rural poor have better access to resources, the benefits are far-reaching. Families are healthier, more children attend school, agricultural productivity improves, incomes increase, and rural communities [...]

What do cucumbers, mustard, almonds and alfalfa have in common? On the surface it appears to be very little. However, there is one thing they do share: They all owe their existence to the service of bees. There is more to the tiny striped helper than sweet honey and a painful sting. For millennia, it has carried out its service [...]

In the varied and vital roles they play – as farmers, farm workers, entrepreneurs, caregivers and community leaders – rural women form the backbone of rural societies. Almost everywhere, they make crucial contributions to food production, food processing and marketing. Indeed, because women produce, process and prepare much of the food available, they are critical to the food security of [...]

When approaching the small house, Hanen can be seen laughing with her family in the yard. Hanen is a 25-year-old biologist living in Ouled Taleb, Siliana, one of several areas in North West Tunisia that are particularly hard-hit by unemployment, low income and high rates of migration. Hanen comes from a poor rural family, who invested in their children’s education [...]

The digital revolution has changed the way we work, access information and connect with each other. It offers opportunities to those who can use the new technologies, but also presents new challenges for those who are left behind. Often referred to collectively as Information and Communications Technologies or ICTs, these technologies are any method of electronically sharing or storing data: telephones, [...]

A digital-savvy historian discusses his popular @HistOpinion Twitter account

“Care Package” showcases Asian American and Pacific Islander artists, writers and scholars as sources of solace during the Covid-19 pandemic

Workers are checking solar power system on the lake. This is the first solar water power plant project in Vietnam. It is in Da Mi lake, Binh Thuan, Vietnam. With a capacity of 47.5 MWp, electricity output is nearly 70 million kWph / year.

Some New Brunswick business owners already facing a cash crunch because of COVID-19 have received an unwelcome shock from NB Power: electricity bills that don’t take into account how little energy they’ve been consuming.

On Day 5, we looked at 'Power.' Our words have the power to hurt and destroy as well as encourage and build up. Jesus' words give joy, life, peace, hope and purpose to those who believe Him.