It is Sunday. The shine is shining . It is a day of rest . But each day feels like a day of rest . Everyday feels like a Sunday. I could turn over fall asleep and have a late breakfast . Somehow along the way over the last 30 days walking has become an

Gustavo Oliveira was last seen near Tallow Wood Drive in Clifton Park around 1 a.m. with his father, 41-year-old Nivaldo Oliveira, police said.

Marcus Morris has struggled with his shooting since joining the Clippers, and after a tough outing against the Lakers, he's blaming no one but himself.

Former Laker and current Denver Nugget Troy Daniels can't do much basketball-wise right now because he doesn't have a home court.

Gustavo Oliveira was last seen near Tallow Wood Drive in Clifton Park around 1 a.m. with his father, 41-year-old Nivaldo Oliveira, police said.

Gustavo Oliveira was last seen near Tallow Wood Drive in Clifton Park around 1 a.m. with his father, 41-year-old Nivaldo Oliveira, police said.

The Pac-12 men's basketball tournament began Wednesday in Las Vegas amid coronavirus concerns. UCLA and other schools opted not to send bands.

Belgian designer Raf Simons will share the design spotlight with Miuccia Prada at Italian luxury brand Prada.

Of all the unseemly and scandalous actions by the Department of Justice in the Trump era, the dismissal of charges against Michael Flynn is the worst.

THE next Fortnite live event is kicking off now and there's good news for UK gamers missing out on the Party Royale Concert.

THE next Fortnite live event is kicking off now and there's good news for UK gamers missing out on the Party Royale Concert.

Solita Miller, 16, left a Parowan group home in the early morning hours of May 4, according to a press release from the Parowan Police Department.

Brownsburg upended Plainfield on Dec. 7 but the Bulldogs will be missing a key player when the two teams meet in the Hendricks County finals.

The Center for the Performing Arts in Carmel invites the class of 2020 from across Central Indiana to a prom this August.

The identity of the "intermediate host" animal that first passed the coronavirus to a human may never be found, say scientists.

Provincial police have located human remains in their search for a missing Meaford man, and one person has been taken into custody.

A deceased dad in the new "Onward" echoes some of Pixar's most moving moments involving absent relatives.

Democratic candidates need to show their math.

Daily, social media is flooded with requests for funding by non-NSFAS students on the brink of financial exclusion at tertiary institutions, because they're unable to raise the money needed to cover historical debt so that they can continue with their studies.

At least 65,116 individuals have been "forcibly disappeared" by the Syrian government, according to a new report by Amnesty International.

An eight-year-old boy with good intentions sparked a missing person search on Tuesday.

Human remains located in Mulmur Township in March have been confirmed to be those of an 88-year-old Caledon man who was reported missing seven months ago.

Grey Bruce provincial police say the OPP canine unit found human remains in Meaford, and one person is under arrest.

If the following conditions are met in PROC QLIM: the SELECT option and DISCRETE option are specified in the same MODEL statement or ENDOGENOUS statement the same dependent variable with S

Recounting her story of finding opportunity and stability in the US, Elizabeth Camarillo Gutierrez examines the flaws in narratives that simplify and idealize the immigrant experience -- and shares hard-earned wisdom on the best way to help those around us. "Our world is one that flourishes when different voices come together," she says.

Tʻoros Ṛoslin, active 13th century.

2005.

Flávio B. Gonçalves, Bárbara C. C. Dias.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 4, 782--800.

Abstract:
Educational assessment usually considers a contextual questionnaire to extract relevant information from the applicants. This may include items related to socio-economical profile as well as items to extract other characteristics potentially related to applicant’s performance in the test. A careful analysis of the questionnaires jointly with the test’s results may evidence important relations between profiles and test performance. The most coherent way to perform this task in a statistical context is to use the information from the questionnaire to help explain the variability of the abilities in a joint model-based approach. Nevertheless, the responses to the questionnaire typically present missing values which, in some cases, may be missing not at random. This paper proposes a statistical methodology to model the abilities in dichotomous IRT models using the information of the contextual questionnaires via linear regression. The proposed methodology models the missing data jointly with the all the observed data, which allows for the estimation of the former. The missing data modelling is flexible enough to allow the specification of missing not at random structures. Furthermore, even if those structures are not assumed a priori, they can be estimated from the posterior results when assuming missing (completely) at random structures a priori. Statistical inference is performed under the Bayesian paradigm via an efficient MCMC algorithm. Simulated and real examples are presented to investigate the efficiency and applicability of the proposed methodology.

Ivana Ilić, Vladica M. Veličković.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 1, 192--203.

Abstract:
Financial returns are known to be nonnormal and tend to have fat-tailed distribution. Also, the dependence of large values in a stochastic process is an important topic in risk, insurance and finance. In the presence of missing values, we deal with the asymptotic properties of a simple “median” estimator of the tail index based on random variables with the heavy-tailed distribution function and certain dependence among the extremes. Weak consistency and asymptotic normality of the proposed estimator are established. The estimator is a special case of a well-known estimator defined in Bacro and Brito [ Statistics & Decisions 3 (1993) 133–143]. The advantage of the estimator is its robustness against deviations and compared to Hill’s, it is less affected by the fluctuations related to the maximum of the sample or by the presence of outliers. Several examples are analyzed in order to support the proofs.

This paper deals with robust marginal estimation under a general regression model when missing data occur in the response and also in some of covariates. The target is a marginal location parameter which is given through an $M-$functional. To obtain robust Fisher--consistent estimators, properly defined marginal distribution function estimators are considered. These estimators avoid the bias due to missing values by assuming a missing at random condition. Three methods are considered to estimate the marginal distribution function which allows to obtain the $M-$location of interest: the well-known inverse probability weighting, a convolution--based method that makes use of the regression model and an augmented inverse probability weighting procedure that prevents against misspecification. The robust proposed estimators and the classical ones are compared through a numerical study under different missing models including clean and contaminated samples. We illustrate the estimators behaviour under a nonlinear model. A real data set is also analysed.

Lin Liu, Yuqi Qiu, Loki Natarajan, Karen Messer.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1370--1396.

Abstract:
It is common to encounter missing data among the potential predictor variables in the setting of model selection. For example, in a recent study we attempted to improve the US guidelines for risk stratification after screening colonoscopy ( Cancer Causes Control 27 (2016) 1175–1185), with the aim to help reduce both overuse and underuse of follow-on surveillance colonoscopy. The goal was to incorporate selected additional informative variables into a neoplasia risk-prediction model, going beyond the three currently established risk factors, using a large dataset pooled from seven different prospective studies in North America. Unfortunately, not all candidate variables were collected in all studies, so that one or more important potential predictors were missing on over half of the subjects. Thus, while variable selection was a main focus of the study, it was necessary to address the substantial amount of missing data. Multiple imputation can effectively address missing data, and there are also good approaches to incorporate the variable selection process into model-based confidence intervals. However, there is not consensus on appropriate methods of inference which address both issues simultaneously. Our goal here is to study the properties of model-based confidence intervals in the setting of imputation for missing data followed by variable selection. We use both simulation and theory to compare three approaches to such post-imputation-selection inference: a multiple-imputation approach based on Rubin’s Rules for variance estimation ( Comput. Statist. Data Anal. 71 (2014) 758–770); a single imputation-selection followed by bootstrap percentile confidence intervals; and a new bootstrap model-averaging approach presented here, following Efron ( J. Amer. Statist. Assoc. 109 (2014) 991–1007). We investigate relative strengths and weaknesses of each method. The “Rubin’s Rules” multiple imputation estimator can have severe undercoverage, and is not recommended. The imputation-selection estimator with bootstrap percentile confidence intervals works well. The bootstrap-model-averaged estimator, with the “Efron’s Rules” estimated variance, may be preferred if the true effect sizes are moderate. We apply these results to the colorectal neoplasia risk-prediction problem which motivated the present work.

Members of the future American workforce could see losses of earnings that add up to trillions of dollars, depending on how long coronavirus-related school closures persist.

The post Economists Expect Huge Future Earnings Loss for Students Missing School Due to COVID-19 appeared first on Market Brief.

Zhi-Qiang Wang, Nian-Sheng Tang.

Source: Bayesian Analysis, Volume 15, Number 2, 579--604.

Abstract:
Bayesian inference on quantile regression (QR) model with mixed discrete and non-ignorable missing covariates is conducted by reformulating QR model as a hierarchical structure model. A probit regression model is adopted to specify missing covariate mechanism. A hybrid algorithm combining the Gibbs sampler and the Metropolis-Hastings algorithm is developed to simultaneously produce Bayesian estimates of unknown parameters and latent variables as well as their corresponding standard errors. Bayesian variable selection method is proposed to recognize significant covariates. A Bayesian local influence procedure is presented to assess the effect of minor perturbations to the data, priors and sampling distributions on posterior quantities of interest. Several simulation studies and an example are presented to illustrate the proposed methodologies.

Abhishek Bishoyi, Xiaojing Wang, Dipak K. Dey.

Source: Bayesian Analysis, Volume 15, Number 1, 215--239.

Abstract:
Missing data often appear as a practical problem while applying classical models in the statistical analysis. In this paper, we consider a semiparametric regression model in the presence of missing covariates for nonparametric components under a Bayesian framework. As it is known that Gaussian processes are a popular tool in nonparametric regression because of their flexibility and the fact that much of the ensuing computation is parametric Gaussian computation. However, in the absence of covariates, the most frequently used covariance functions of a Gaussian process will not be well defined. We propose an imputation method to solve this issue and perform our analysis using Bayesian inference, where we specify the objective priors on the parameters of Gaussian process models. Several simulations are conducted to illustrate effectiveness of our proposed method and further, our method is exemplified via two real datasets, one through Langmuir equation, commonly used in pharmacokinetic models, and another through Auto-mpg data taken from the StatLib library.

"Since my childhood, I have been anxious about missing out. I remember not wanting to sleep whenever I heard the adults chatting in the night. I wanted to be part of it all. Later on, in high school, I said “yes” to every event and outing, which ended up crashing so many times. I couldn’t choose. I wanted to be there to celebrate all the fun moments but also share all the tears in the low moments," says Ivy. "However, this lifestyle of being afraid of missing out could not continue when I joined missions. I have had to learn how to let go when I miss out on opportunities to create precious memories with family and friends in my home country."

People in Truro, N.S., are reeling after the disappearance of three-year-old Dylan Ehler as the community tries to come to grips with another potential tragedy in the area.

Teenager Theland Kicknosway's annual run for missing and murdered Indigenous women and girls is being turned into a virtual event this year, and he's calling on people from across North America to join him.

Bank of England Working Papers by Cristiano Cantore, Filippo Ferroni and Miguel León-Ledesma

A short-termer engages people in spiritual conversation while on tour of Israel.

SCOTLAND is struggling to meet its targets for new affordable homes despite government funding.

FOR decades, both Celtic and Rangers have dominated the national conversation when it comes to football in Scotland. The vast majority of issues seem to revolve around the two Glasgow clubs and, predictably, the issue of how to conclude the Premiership campaign has been boiled down to whether or not Celtic should be crowned champions if – as is looking increasingly likely – the 2019/20 campaign is unable to be played to a finish.

Political numeracy is as important as it is overlooked, argues Wellesley mathematics professor Ismar Volić.

Saudi Arabian equities slumped on concern the U.S. may take measures against the kingdom if it’s linked to the disappearance of Washington Post writer Jamal Khashoggi.

The heads of Deutsche Bank and Siemens, two of Germany’s biggest companies, are among a dwindling number of high-profile delegates still scheduled to attend an investment conference in Saudi Arabia following the disappearance of dissident journalist Jamal Khashoggi.

Government went to war against Covid-19 with very low supplies in citizen trust and financial reserves, says Solly Moeng.

Teachers need coaching from proactive and intentional leaders who see everything in their buildings as their responsibility, writes guest blogger Michael Sonbert. Until then, teachers will bear the brunt of our national criticism.

A pulmonary blood clot killed the brother of an Idaho woman who’s facing charges in the disappearance of her children — a case that attracted worldwide attention with revelations of her doomsday beliefs and connection to three mysterious deaths