Confidence sets
Likelihood Based Confidence Sets for the Timing of Structural Breaks
... credibility sets based on noninformative priors as a means of constructing classical “error bands” for impulse response functions in structural Vector Autoregressive (VAR) ...constructing confidence ...
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Model confidence sets and forecast combination: an application to age-specific mortality
... Data and methods: The proposed model averaging procedure is motivated by Samuels and Sekkel (International Journal of Forecasting 33(1):48–60, 2017) based on the concept of model confidence sets as proposed ...
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Confidence Sets with Expected Sizes for Multiclass Classification
... empirical confidence set that results from the minimization of an empirical convex ...of confidence sets under the Tsybakov noise assumption on the data generating ...
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Adaptive Projection Confidence Sets and Data Analyses in Personalized Medicine.
... constructing confidence sets for θ ∗ (β ∗ ...projection confidence interval (PCI), which was first proposed by Berger and Boos (1994), and later discussed by Robins ...
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Bioequivalence trials, intersection-union tests, and equivalence confidence sets
... We have shown that the theory of intersection-union tests is central to bioequivalence stud- ies. We have demonstrated the danger of incorrect association of condence sets with such tests. Due to the traditional ...
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Tests and confidence sets for comparing two mean residual life
... If X measures the lifelength for an item, then eF(t) is the expected remaining life in the item given it has survived until time t. 128), mean residual life functions can be used directl[r] ...
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Confidence sets for some partially identified parameters
... The simplicity of the CIs of IM and Stoye (2007) makes them appealing, but their dependence on the speci…c structure of interval identi…ed parameters and the asymptotic normality of estimators of the lower and upper ...
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Confidence sets for the date of a break in level and trend when the order of integration is unknown
... con…dence sets that su¤er from coverage rates substantially below the nominal level, with the true break date being excluded from the con…dence set much too ...con…dence sets that achieve asymptotic ...
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Confidence sets based on penalized maximum likelihood estimators
... For the two-sided con…dence sets considered above, we next show that given a prescribed in…mal coverage probability the symmetric intervals are shortest. We then show that these shortest intervals are longer than ...
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Partial identification of the distribution of treatment effects and its confidence sets
... confidence sets for the distribution of treatment effects; (ii) we propose bias-corrected estimators of the sharp bounds on the distribution of treatment effects; and (iii) we investigate finite sample performances ...
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Confidence Sets Based on Sparse Estimators Are Necessarily Large
... con…dence sets based on this ...con…dence sets, ...con…dence sets based on not necessarily sparsely tuned post-model-selection estimators are discussed in Kabaila (1995, 1998), Pötscher (1995), Leeb ...
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Rigdon_unc_0153D_15178.pdf
... based confidence intervals can be formed using the classic approach of Hodges and Lehmann ...based confidence sets for the average effect of treatment on a binary outcome without assuming ...These ...
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Problem Set 1
... In this paper, a fuzzy control algorithm is used to regulate the wiper speed and wiper interval using the calculated rain intensity and distribution after the image processing. The ma[r] ...
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Fuzzy Classification Based On Fuzzy Association Rule Mining
... Generally speaking, fuzzy association rule mining assumed that the linguistic terms are provided by the user or the domain expert. However, there are some cases in which even domain experts are not able to define the ...
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Confidence in Structured Prediction Using Confidence Weighted Models
... rithm which is a batch algorithm. We used Mal- let toolkit (McCallum, 2002) for CRF implementa- tion. For feature generation we used a combination of standard methods provided with Mallet toolkit (called pipes). We chose ...
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: 54A05,54B05,54C08 ,54D10 KEY WORDS: semipreopen sets, g-closed sets .gr-closed sets ,rg-closed sets ,gb-closed sets.
... g-closed sets and g-open sets in ...rg-closed sets ,rg-continuity and rg- irresoluteness in topological ...gsp-closed sets , g-closed sets, gpr-closed sets , gp-closed ...
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Dynamically Updating Association Rules: Frequent Item Set Mining by Using Indexing Support
... data sets, often, the consequential outcomes surpass the amount of information humanly ...among sets of items in the transaction databases or other data ...
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Using a priori algorithm for supporting e-commerce system
... There are many association rules that can be generated. Importance of an association rule can be measured by the value of support and confidence. The concept of frequent enough is a parameter of the algorithm, ...
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CATCHING CONFIDENCE
... activity and interview frameworks. It was also designed to consult on the draft research activity and tools. Initial discussion revealed a surprising degree of consensus around definitions of confidence and what ...
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Postdictive confidence (but not predictive confidence) predicts eyewitness memory accuracy
... of confidence, how likely is it that the identified suspect is ...tive confidence. In other words, postdictive confidence is a useful indicator of eyewitness reliability, regardless of whether the ...
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