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Optimal Estimation of Deterioration from Diagnostic Image Sequence
Damage interior-point methods optimal estimation regularization
2015/7/9
Estimation of mechanical structure damage can greatly benefit from the knowledge that the damage accumulates irreversibly over time. This paper formulates a problem of estimation of a pixel-wise monot...
Reducing decision errors in the paired comparison of the diagnostic accuracy of screening tests with Gaussian outcomes
cancer screening differential verification bias area under the curve type I error power paired screening trial receiver operating characteristic analysis
2013/6/14
Scientists often use a paired comparison of the areas under the receiver operating characteristic curves to decide which continuous cancer screening test has the best diagnostic accuracy. In the paire...
Diagnostic Tests for Non-causal Time Series with Infinite Variance
Non-causal AR Process Infinite Variance Goodness-of-fit Portmanteau Test alpha-stabledistribution
2012/11/22
We study goodness-of-fit testing for non-causal autoregressive time series with non-Gaussian stable noise. To model time series exhibiting sharp spikes or occasional bursts of outlying observations, t...
Evaluating the diagnostic powers of variables and their linear combinations when the gold standard is continuous
ROC curve Area under curve Gold standard Classification
2011/6/16
The receiver operating characteristic (ROC) curve is a very useful tool for
analyzing the diagnostic/classification power of instruments/classification
schemes as long as a binary-scale gold standar...
Learning Item-Attribute Relationship in Q-Matrix Based Diagnostic Classification Models
Cognitive assessment consistency DINA model DINO model
2011/7/5
Recent surge of interests in cognitive assessment has led to the developments of novel statistical models for diagnostic classification. Central to many such models is the well-known Q-matrix, which s...
Bayesian Diagnostic Techniques for Detecting Hierarchical Structure
model assessment partial posterior predictive p value posterior predictive distribution posterior predictive p value
2009/9/22
Motivated by an increasing number of Bayesian hierarchical model
applications, the objective of this paper is to evaluate properties of several di-
agnostic techniques when the tted model includes s...
Diagnostic Methods in Elliptical Linear Regression Models
Diagnostic Methods Elliptical Linear Regression Models
2009/9/18
Diagnostic Methods in Elliptical Linear Regression Models。
Superpopulations Models and Stratification in Diagnostic Ability Studies
Superpopulations Models Stratification Diagnostic Ability Studies
2009/9/17
Superpopulations Models and Stratification in Diagnostic Ability Studies。
A Robust and Diagnostic Information Criterion for Selecting Regression Models
AIC Cp Forward Search outliers
2009/3/5
We combine the selection of a statistical model with the robust parameter estimation and diagnostic properties of the Forward Search. As a result we obtain procedures that select the best model in the...
A LIKELIHOOD APROACH TO DIAGNOSTIC TESTS IN CLINICAL MEDICINE
credibility diagnosability likelihood plausibility sensitivity signicance specicity
2009/2/26
This paper presents a pure likelihood approach to statistical inference and its rela-
tion to diagnostic tests in clinical medicine. The standard antagonistic frequentist
approaches of Fisher and Ne...