This paper sets out three challenges to the creation of a future for Indo-Pacific states and peoples consistent with the visions of a ‘free and open Indo-Pacific’ (FOIP) expressed by Japan, India, the US and Australia, and now by the ASEAN outlook on the Indo-Pacific. It also describes a path for states to operate in an environment of coercive Chinese state power that seeks to influence how states relate and how they operate within their domestic boundaries.

As the state rolls out a new school accountability system and a separate federal accountability system, disputes have flared between the state department and school board over which underperforming schools should get extra federal money.

Berlin : Fischer's Medicin. Buchhandlung, H. Kornfeld, 1897.

Berlin : Fischer, 1899.

Berlin : S. Karger, 1905.

Braunschweig : Druck und Verlag von Friedrich Vieweg und Sohn, 1898.

Bonn : O. Paul, 1895.

Wiesbaden : J.F. Bergmann, 1887.

Rockville, Maryland : National Institute on Drug Abuse, 1979.

Rockville, Maryland : National Institute on Drug Abuse, 1979.

Gregor Pasemann, Wilhelm Stannat.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 547--579.

Abstract:
A parameter estimation problem for a class of semilinear stochastic evolution equations is considered. Conditions for consistency and asymptotic normality are given in terms of growth and continuity properties of the nonlinear part. Emphasis is put on the case of stochastic reaction-diffusion systems. Robustness results for statistical inference under model uncertainty are provided.

We study derivative-free methods for policy optimization over the class of linear policies. We focus on characterizing the convergence rate of these methods when applied to linear-quadratic systems, and study various settings of driving noise and reward feedback. Our main theoretical result provides an explicit bound on the sample or evaluation complexity: we show that these methods are guaranteed to converge to within any pre-specified tolerance of the optimal policy with a number of zero-order evaluations that is an explicit polynomial of the error tolerance, dimension, and curvature properties of the problem. Our analysis reveals some interesting differences between the settings of additive driving noise and random initialization, as well as the settings of one-point and two-point reward feedback. Our theory is corroborated by simulations of derivative-free methods in application to these systems. Along the way, we derive convergence rates for stochastic zero-order optimization algorithms when applied to a certain class of non-convex problems.

Parametrised state space models in the form of recurrent networks are often used in machine learning to learn from data streams exhibiting temporal dependencies. To break the black box nature of such models it is important to understand the dynamical features of the input-driving time series that are formed in the state space. We propose a framework for rigorous analysis of such state representations in vanishing memory state space models such as echo state networks (ESN). In particular, we consider the state space a temporal feature space and the readout mapping from the state space a kernel machine operating in that feature space. We show that: (1) The usual ESN strategy of randomly generating input-to-state, as well as state coupling leads to shallow memory time series representations, corresponding to cross-correlation operator with fast exponentially decaying coefficients; (2) Imposing symmetry on dynamic coupling yields a constrained dynamic kernel matching the input time series with straightforward exponentially decaying motifs or exponentially decaying motifs of the highest frequency; (3) Simple ring (cycle) high-dimensional reservoir topology specified only through two free parameters can implement deep memory dynamic kernels with a rich variety of matching motifs. We quantify richness of feature representations imposed by dynamic kernels and demonstrate that for dynamic kernel associated with cycle reservoir topology, the kernel richness undergoes a phase transition close to the edge of stability.

Abedin Haidari, Amir T. Payandeh Najafabadi, Narayanaswamy Balakrishnan.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 1, 150--166.

Abstract:
Consider two parallel systems, say $A$ and $B$, with respective lifetimes $T_{1}$ and $T_{2}$ wherein independent component lifetimes of each system follow exponentiated generalized gamma distribution with possibly different exponential shape and scale parameters. We show here that $T_{2}$ is smaller than $T_{1}$ with respect to the usual stochastic order (reversed hazard rate order) if the vector of logarithm (the main vector) of scale parameters of System $B$ is weakly weighted majorized by that of System $A$, and if the vector of exponential shape parameters of System $A$ is unordered mojorized by that of System $B$. By means of some examples, we show that the above results can not be extended to the hazard rate and likelihood ratio orders. However, when the scale parameters of each system divide into two homogeneous groups, we verify that the usual stochastic and reversed hazard rate orders can be extended, respectively, to the hazard rate and likelihood ratio orders. The established results complete and strengthen some of the known results in the literature.

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.

Kevin McGoff, Sayan Mukherjee, Natesh Pillai.

Source: Statistics Surveys, Volume 9, 209--252.

Abstract:
The topic of statistical inference for dynamical systems has been studied widely across several fields. In this survey we focus on methods related to parameter estimation for nonlinear dynamical systems. Our objective is to place results across distinct disciplines in a common setting and highlight opportunities for further research.

Jere Koskela, Paul A. Jenkins, Adam M. Johansen, Dario Spanò.

Source: The Annals of Statistics, Volume 48, Number 1, 560--583.

Abstract:
We study weighted particle systems in which new generations are resampled from current particles with probabilities proportional to their weights. This covers a broad class of sequential Monte Carlo (SMC) methods, widely-used in applied statistics and cognate disciplines. We consider the genealogical tree embedded into such particle systems, and identify conditions, as well as an appropriate time-scaling, under which they converge to the Kingman $n$-coalescent in the infinite system size limit in the sense of finite-dimensional distributions. Thus, the tractable $n$-coalescent can be used to predict the shape and size of SMC genealogies, as we illustrate by characterising the limiting mean and variance of the tree height. SMC genealogies are known to be connected to algorithm performance, so that our results are likely to have applications in the design of new methods as well. Our conditions for convergence are strong, but we show by simulation that they do not appear to be necessary.

Holger Sambale, Arthur Sinulis.

Source: Bernoulli, Volume 26, Number 3, 1863--1890.

Abstract:
We derive sufficient conditions for a probability measure on a finite product space (a spin system ) to satisfy a (modified) logarithmic Sobolev inequality. We establish these conditions for various examples, such as the (vertex-weighted) exponential random graph model, the random coloring and the hard-core model with fugacity. This leads to two separate branches of applications. The first branch is given by mixing time estimates of the Glauber dynamics. The proofs do not rely on coupling arguments, but instead use functional inequalities. As a byproduct, this also yields exponential decay of the relative entropy along the Glauber semigroup. Secondly, we investigate the concentration of measure phenomenon (particularly of higher order) for these spin systems. We show the effect of better concentration properties by centering not around the mean, but around a stochastic term in the exponential random graph model. From there, one can deduce a central limit theorem for the number of triangles from the CLT of the edge count. In the Erdős–Rényi model the first-order approximation leads to a quantification and a proof of a central limit theorem for subgraph counts.

Larry R. Squire
Oct 14, 2009; 29:12711-12716
40th Anniversary Retrospective

Christelle Peyron
Dec 1, 1998; 18:9996-10015
Articles

PR Montague
Mar 1, 1996; 16:1936-1947
Articles

Geoffrey M. Boynton
Jul 1, 1996; 16:4207-4221
Articles

Op-ed by Mr Agustín Carstens, General Manager of the BIS, published in The Business Times Singapore, 13 November 2019.

FAO will use World Food Day this year to promote one of the five pillars of Zero Hunger Challenge. The theme of the campaign will be “Sustainable Food Systems for Food Security and Nutrition.” Events in more than 120 countries – supported by videos, an issues paper, posters, media interviews and more – will communicate the message that our food systems [...]

Maize, rice and wheat are fundamental to world food security. We must safeguard production in the world’s grain belts and rice bowls, and increase yields in countries where production has to substantially improve as populations grow. Climate change adds new pressures on cereals, including rising temperatures and a higher incidence of pests, diseases, droughts and floods. FAO’s model of ecosystem-based agriculture, [...]

Ecosystem services make human life possible by, for example, providing nutritious food and clean water, regulating disease and climate, supporting the pollination of crops and soil formation, and providing recreational, cultural and spiritual benefits. In 2014, the value of ecosystem services was estimated at a staggering US$ 125 trillion.  Ecosystem services, provided by biodiversity, are fundamental to food production and [...]

  We can’t really talk about the planet’s most pressing environmental problems without talking about food systems. And by food systems, we also mean the agriculture that it takes to support them: farming, fisheries, forestry and the value chains that provide food and fiber for our daily lives. 

The availability of rapid response systems to assist deteriorating patients is the standard of care in children’s hospitals. Metrics for evaluating their effectiveness include cardiac and respiratory arrest rates, rare events that require years of data to show significant improvements.

A proximate outcome for in-hospital mortality among patients receiving rapid response system assistance was developed. This "critical deterioration" metric was eightfold more common than arrests and demonstrated criterion and construct validity, facilitating meaningful evaluation over shorter periods of time. (Read the full article)

In 2009, only 58% of pediatricians were using electronic health records (EHRs), most of which were lacking pediatric functionality. The American Recovery and Reinvestment Act (ARRA) of 2009 accelerated the implementation of EHRs in pediatric offices.

The effects of ARRA have remained largely unmeasured in pediatrics. This study provides information on the prevalence and functionalities of EHRs, as well as physicians’ perceptions. (Read the full article)

Helen Janc Malone introduces this week's blog theme, "accountability and assessment systems." She writes that at the heart of the current accountability debate is a fundamental question, What is the purpose of all the collected assessment data? Are they an end game or a starting point to educational

Have a larger home with Wi-Fi dead zones? A multi-node system might be a better solution than a traditional wireless router with extenders. Here are the best Wi-Fi mesh network systems we've tested in our labs.

The Assessment for Learning Project, a partnership between Center for Innovation in Education and Next Generation Learning Challenges, granted twelve grants totaling $2 million for rethinking assessment.

 Settlement and Default Handling Procedures in Multilateral and Deferred Net Settlement Systems under the PSS Act, 2007

DEPARTMENT OF HEALTH AND SOCIAL SERVICES: Division of Public Health

DOVER, Del. – Governor John Carney, along with the Delaware Department of Health and Social Services (DHSS), announced on Friday a coordinated statewide plan to ensure individuals with symptoms consistent with coronavirus disease 2019 (COVID-19) have access to safe and efficient testing in Delaware. Tests will be administered at no cost to the patients. Through […]

Road mishaps cost India 3-5% of its gross domestic product every year. India amounts to one percent of the vehicles across the world, yet it contributes almost 6% of the road fatalities on the road.

Many of the buzzy applications of AI in healthcare we hear about involve medical IoT, computer vision for radiology or disease prediction. But the fact is, many health institutions that just aren’t there yet with adoption. With limited budgets and dated systems, can public health agencies tap into the power [...]

The post Can AI in healthcare help us identify high-risk people across systems? appeared first on Government Data Connection.

  Introduction Intel®  VTune™ Amplifier 2014 for Systems is part of the Intel® System Studio suite of tools supporting both the mobile and embedded markets. This article will demon...

Emission of the green house at the current levels will cause catastrophe in most parts of the world with some ecosystems expected to collapse by 2030.

Which NHL team has the deepest farm system? How about the weakest? Which are trending up or down? We reset the pipelines with prospect system superlatives.