نتایج جستجو برای: stains unbiased risk estimate sure

تعداد نتایج: 1179180  

2007
Knut K. Aase

A standard result states that under decreasing absolute risk aversion the indifference premium of the insured is a decreasing function of wealth. This has been interpreted to mean that insurance is an inferior good, which has been considered as a puzzle in insurance theory, in particular since the result does not seem to explain observed behavior in insurance markets. We reformulate the standar...

Journal: :Journal of Banking & Finance 2018

Journal: :CoRR 2012
Samuel Vaiter Charles-Alban Deledalle Gabriel Peyré Mohamed-Jalal Fadili Charles Dossal

In this paper, we are concerned with regression problems where covariates can be grouped in nonoverlapping blocks, and where only a few of them are assumed to be active. In such a situation, the group Lasso is an attractive method for variable selection since it promotes sparsity of the groups. We study the sensitivity of any group Lasso solution to the observations and provide its precise loca...

Journal: :Nephron 2017
David G Warnock Pierre Delanaye Richard J Glassock

The relative reduction of risk for all-cause mortality among the elderly has been described as attenuated compared to younger subjects, but the risk for all-cause mortality increases with age when absolute risk is considered. The objectives of the present inquiry were to calculate the relative and absolute risks of all-cause mortality based on incidence rate ratios, and summarize these risks fo...

Journal: :IEICE Transactions 2017
Katsuyuki Hagiwara

Soft-thresholding is a sparse modeling method typically applied to wavelet denoising in statistical signal processing. It is also important in machine learning since it is an essential nature of the well-known LASSO (Least Absolute Shrinkage and Selection Operator). It is known that soft-thresholding, thus, LASSO suffers from a problem of dilemma between sparsity and generalization. This is cau...

Journal: :CoRR 2017
Gianluigi Pillonetto Luca Schenato Damiano Varagnolo

We consider the problem of distributedly estimating Gaussian random fields in multi-agent frameworks. Each sensor collects few measurements and aims to collaboratively reconstruct a common estimate based on all data. Agents are assumed to have limited computational and communication capabilities and to gather M noisy measurements in total on input locations independently drawn from a known comm...

Journal: :JAMA 2002
Jim Nuovo Joy Melnikow Denise Chang

CONTEXT Ongoing efforts to improve the quality of reporting for randomized controlled trials (RCTs) include the Consolidated Standards of Reporting Trials (CONSORT) statement. We examined the frequency of explicit reporting of the number needed to treat (NNT) and the absolute risk reduction (ARR) in RCTs. METHODS Five frequently cited journals were investigated: Annals of Internal Medicine, B...

Journal: :BMJ 1998
E K Slaytor J E Ward

Informed participation in population based screening programmes requires an explicit sharing of information about risks and benefits. However, many factors influence perceptions of risk and the value of risk reduction promised through screening. Campaigns that selectively quote incidence to “frighten” women into undergoing mammography have been criticised. Perceived risk, not objective risk, ex...

Journal: :Medical decision making : an international journal of the Society for Medical Decision Making 2015
Carissa Bonner Jesse Jansen Ben R Newell Les Irwig Armando Teixeira-Pinto Paul Glasziou Jenny Doust Shannon McKinn Kirsten McCaffery

BACKGROUND Cardiovascular disease (CVD) prevention guidelines are generally based on the absolute risk of a CVD event, but there is increasing interest in using 'heart age' to motivate lifestyle change when absolute risk is low. Previous studies have not compared heart age to 5-year absolute risk, or investigated the impact of younger heart age, graphical format, and numeracy. OBJECTIVE Compa...

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