James O. Berger, Anirban DasGupta.

Source: Statistical Science, Volume 34, Number 4, 621--634.

Abstract:
This article gives a panoramic survey of the general area of parametric statistical inference, decision theory and foundations of statistics for the period 1965–2010 through the lens of Larry Brown’s contributions to varied aspects of this massive area. The article goes over sufficiency, shrinkage estimation, admissibility, minimaxity, complete class theorems, estimated confidence, conditional confidence procedures, Edgeworth and higher order asymptotic expansions, variational Bayes, Stein’s SURE, differential inequalities, geometrization of convergence rates, asymptotic equivalence, aspects of empirical process theory, inference after model selection, unified frequentist and Bayesian testing, and Wald’s sequential theory. A reasonably comprehensive bibliography is provided.

Andreas Buja, Lawrence Brown, Arun Kumar Kuchibhotla, Richard Berk, Edward George, Linda Zhao.

Source: Statistical Science, Volume 34, Number 4, 545--565.

Abstract:
We develop a model-free theory of general types of parametric regression for i.i.d. observations. The theory replaces the parameters of parametric models with statistical functionals, to be called “regression functionals,” defined on large nonparametric classes of joint ${x extrm{-}y}$ distributions, without assuming a correct model. Parametric models are reduced to heuristics to suggest plausible objective functions. An example of a regression functional is the vector of slopes of linear equations fitted by OLS to largely arbitrary ${x extrm{-}y}$ distributions, without assuming a linear model (see Part I). More generally, regression functionals can be defined by minimizing objective functions, solving estimating equations, or with ad hoc constructions. In this framework, it is possible to achieve the following: (1) define a notion of “well-specification” for regression functionals that replaces the notion of correct specification of models, (2) propose a well-specification diagnostic for regression functionals based on reweighting distributions and data, (3) decompose sampling variability of regression functionals into two sources, one due to the conditional response distribution and another due to the regressor distribution interacting with misspecification, both of order $N^{-1/2}$, (4) exhibit plug-in/sandwich estimators of standard error as limit cases of ${x extrm{-}y}$ bootstrap estimators, and (5) provide theoretical heuristics to indicate that ${x extrm{-}y}$ bootstrap standard errors may generally be preferred over sandwich estimators.

Sijia Xiang, Weixin Yao, Guangren Yang.

Source: Statistical Science, Volume 34, Number 3, 391--404.

Abstract:
Finite mixture models have offered a very important tool for exploring complex data structures in many scientific areas, such as economics, epidemiology and finance. Semiparametric mixture models, which were introduced into traditional finite mixture models in the past decade, have brought forth exciting developments in their methodologies, theories, and applications. In this article, we not only provide a selective overview of the newly-developed semiparametric mixture models, but also discuss their estimation methodologies, theoretical properties if applicable, and some open questions. Recent developments are also discussed.

Catherine Mankiw
May 24, 2017; 37:5221-5231
Development Plasticity Repair

Barbara J. Weiland
Jan 28, 2015; 35:1505-1512
Neurobiology of Disease

Remarks by Mr Olli Rehn, Governor of the Bank of Finland, at the Reinventing Bretton Woods Committee Panel Discussion on "The world economy transformed: Reflections on policy responses and the future post pandemic monetary architecture", in the context of the virtual IMF Spring Meetings, Washington DC, 17 April 2020.

Significant variation in congenital hypothyroidism screening operations/performance has been observed in the United States. The origin of this variation remains unknown, in part because of a lack of evaluation. Accordingly, debates persist about optimal screening operations including laboratory testing methods.

Four distinct screening protocols applied to Michigan resident infants are compared in detecting congenital hypothyroidism overall and specific to cases characterized by high initial thyrotropin concentrations thought to have a more severe form of the disease. (Read the full article)

The false-positive rate of newborn screening for classic congenital adrenal hyperplasia (CAH) remains high and has not been significantly improved by adjusting 17α-hydroxyprogesterone cutoff values for birth weight and/or gestational age. In response, 4 states have initiated second-tier steroid profile screening.

Under second-tier screening, the false-positive rate remains high, and classic CAH cases missed by screening (false-negatives) occur more frequently than reported. Physicians are cautioned that a negative screen does not necessarily rule out CAH. (Read the full article)

Fetal growth restriction, particularly in preterm children, is associated with delayed development and poor growth. Knowledge about the consequences of fetal growth restriction if classified by symmetry is lacking, especially in preterm children.

In preterm children, symmetric and asymmetric growth restriction at birth results in poorer growth later in life. Both groups are at considerable risk of developmental delay because their long-term development is independent of their head circumference at birth. (Read the full article)

Oil prices in the international markets last month slumped to a two-decade low of USD 18 per barrel before rebounding by some measure.

The details may be technical, but the concepts are clear when it comes to analyzing seasonal retail data

I have written several articles about how to work with continuous probability distributions in SAS. I always emphasize that it is important to be able to compute the four essential functions for working with a statistical distribution. Namely, you need to know how to generate random values, how to compute [...]

The post The geometric distribution in SAS appeared first on The DO Loop.

Canada has opened Service centers across the country for taking biometrics related to foreign nationals who apply to stay in it.A New Approach for EfficiencyBefore December 3rd, such immigration candidates, who were applying away from Canada, needed…

Hi Team,

I would like to download "Incisive Metrics Center User Guide", I could not find in the cadence/support/manuals. Can you please provide me the link or path to download the same ? I am doing functional coverage with IMC. 

Thank You,

Mahesh

As noted in white papers, posts on the Team Specman Blog, and the Specman documentation, IntelliGen is a totally new stimulus generator than the original "Pgen" and, as a result, there is some amount of effort needed to migrate an existing verification environment to fully leverage the power of IntelliGen.  One of the main steps in migrating code is running the linters on your code and adressing the issues highlighted. 

Included below is a simple utility you can include in your environment that allows you to collect some valuable statistics about your code base to allow you to better gauge the amount of work that might be required to migrate from Pgen to IntelliGen.  The ICFS statistics reported are of particular benefit as the utility not only identifies the approximate number of ICFSs in the environment, it also breaks the total number down according to generation contexts (structs/units and gen-on-the-fly statements) allowing you to better focus your migration efforts. 

IMPORTANT: Sometimes a given environment can trigger a large number of IntelliGen linting messages right off the bat.  Don't let this freak you out!  This does not mean that migration will be a long effort as quite often some slight changes to an environment remove a large number of identified issues.  I recently encountered a situation where a simple change to three locations in the environment, removed 500+ ICFSs!

The methods included in the utility can be used to report information on the following:
- Number of e modules
- Number of lines in the environment (including blanks and comments)
- Number and type of IntelliGen Guidelines linting messages
- Number of Inconsistently Connected Field Sets (ICFSs)
- Number of ICFS contexts and how many ICFSs per context
- Number of soft..select overlays found in the envioronment
- Number of Laces identified in the environment

To use the code below, simply load it before/after loading e-code and then
you can execute any of the following methods:

- sys.print_file_stats()             : prints # of lines and files
- sys.print_constraint_stats()   : prints # of constraints in the environment
- sys.print_guideline_stats()    : prints # of each type of linting message
- sys.print_icfs_stats()            : prints # of ICFSs, contexts and #ICFS/context
- sys.print_soft_select_stats() : prints # of soft select overlay issues
- sys.print_lace_stats()           : *Only works for SPMNv6.2s4 and later* prints # of laces identified in the environment

Each of the above calls to methods produces it's own log files (stored in the current working directory) containing relevant information for more detailed analysis.
- file_stats_log.elog : Output of "show modules" command
- constraint_log.elog : Output of the "show constraint" command
- guidelines_log.elog : Output of "gen lint -g" (with notification set to MAX_INT in order to get all warnings)
- icfs_log.elog       : Output of "gen lint -i" command
- soft_select_log.elog: Output of the "gen lint -s" command
- lace_log.elog       : Output of the "show lace" command

Happy generating!

Corey Goss

Hi all,

I am using ADE assembler.

I ran transient simulation and swept the input frequency (Fin) of the circuit. And I use Spectrum Measurement to return a value of the fundamental tone magnitude (Sig_fund) for each sweep point. 

Previously, I use "plot across design points" to plot both "Fin" and "Sig_fund", and then use "Y vs Y" to get a waveform of Sig_fund vs Fin. Measure the 1dB Bandwidth with markers. 

Can I realized above measurement with an expression in "output setup" ? And how?

I know to set the "Eval type" to "sweep" to process the data across sweep points. But here, it has to return an interpolated value from "Fin" with a criteria "(value(calcVal("Sig_fund"  0) - 1)". I am not sure whether it can be done in ADE assembler.

Thanks and regards,

Yutao

An information disclosure vulnerability exists when Centaur and TitanSMA fail to properly protect critical system logs such as 'syslog'. Additionally, the implemented Jetty version (9.4.z-SNAPSHOT) suffers from a memory leak of shared buffers that was (supposedly) patched in Jetty version 9.2.9.v20150224.

Nanometrics Centaur version 4.3.23 suffers from an unauthenticated remote memory leak vulnerability.

The number of citations an article receives is an important indicator to quantify its influence in its field. The aim of this study was to identify and analyze the characteristics of the 50 top-cited articles addressing dental education published in two journals dedicated to dental education (European Journal of Dental Education and Journal of Dental Education). The Web of Science database was searched to retrieve the 50 most-cited articles from the two journals in December 2018. The top-cited articles were analyzed for journal of publication, number of citations, institution and country of origin, year of publication, study type, keywords, theme and subtheme, and international collaborations. The results showed the 50 top-cited articles were cited between 24 and 146 times each. The majority of these top-cited articles (n=34) were published in the Journal of Dental Education. Half (n=25) of the articles were by authors in the U.S. The most common study types were surveys (n=26) and reviews (n=10). The main themes of these top-cited articles were curriculum and learner characteristics. This bibliometric analysis can serve as a reference for recognizing studies with the most impact in the scholarship of dental education.

The biological carbon pump (BCP) comprises wide-ranging processes that set carbon supply, consumption, and storage in the oceans’ interior. It is becoming increasingly evident that small changes in the efficiency of the BCP can significantly alter ocean carbon sequestration and, thus, atmospheric CO2 and climate, as well as the functioning...

BACKGROUND

Continuous glucose monitoring (CGM) provides important information to aid in achieving glycemic targets in people with diabetes.

Symmetric division of stem cells positive for gastrin receptor CCK2R is linked to gastric cancer.

BACKGROUND AND PURPOSE:

Diffuse intrinsic pontine glioma is a lethal childhood brain cancer with dismal prognosis and MR imaging is the primary methodology used for diagnosis and monitoring. Our aim was to determine whether advanced diffusion, perfusion, and permeability MR imaging metrics predict survival and pseudoprogression in children with newly diagnosed diffuse intrinsic pontine glioma.

With four legs but no back or front, ALPHRED 2 can run, jump, and punch through boards in any direction

Alex, Johnathan, and Chris run through the past two weeks of news, bemoan the lack of time to play games, and then commit to not trying to play anything new. Ring Fit Adventure wins RPG of the year. But seriously, why isn't Shining Force II on that thing?

This modern laneway house is now home to a client who wants to look after her aging parents.

These sand "castles" are not your usual holiday beach creations.

Yesterday I wrote about a mom who was convicted of vehicular homicide after her son was killed by a drunk hit-and-run, because she crossed the street from a bus stop without walking almost half a mile to the traffic light. Today Walkscore has released

Situated in a nature reserve along the Dutch coast, this unique structure not only serves as an observation post, it also provides extra bird habitats.