Results 11 to 20 of about 811,009 (286)
Effcient M-estimators with auxiliary information [PDF]
Journal of Statistical Planning and Inference, 2010 This paper introduces a new class of M-estimators based on generalised empirical likelihood estimation with some auxiliary information available in the sample.
F Bravo
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Distributed eQTL analysis with auxiliary information. [PDF]
J Stat Plan InferenceExpression quantitative trait locus (eQTL) analysis is a useful tool to identify genetic loci that are associated with gene expression levels. Large collaborative efforts such as the Genotype-Tissue Expression (GTEx) project provide valuable resources for eQTL analysis in different tissues.
Fang Z, Li G, Li W, Pu X, Xiang D.
europepmc +3 more sources
Fitting additive risk models using auxiliary information [PDF]
Statistics in Medicine, 2023 There has been a growing interest in incorporating auxiliary summary information from external studies into the analysis of internal individual‐level data. In this paper, we propose an adaptive estimation procedure for an additive risk model to integrate auxiliary subgroup survival information via a penalized method of moments technique.
Jie Ding +4 more
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Tensor Factorization Using Auxiliary Information [PDF]
Data Mining and Knowledge Discovery, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Narita, Atsuhiro +3 more
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On Estimating Quantiles Using Auxiliary Information [PDF]
Journal of Official Statistics, 2015 Abstract We propose a transformation-based approach for estimating quantiles using auxiliary information. The proposed estimators can be easily implemented using a regression estimator. We show that the proposed estimators are consistent and asymptotically unbiased.
Berger, Yves G., Francisco Munoz, Juan
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Learning Classification with Auxiliary Probabilistic Information [PDF]
2011 IEEE 11th International Conference on Data Mining, 2011 Finding ways of incorporating auxiliary information or auxiliary data into the learning process has been the topic of active data mining and machine learning research in recent years. In this work we study and develop a new framework for classification learning problem in which, in addition to class labels, the learner is provided with an auxiliary ...
Quang, Nguyen +2 more
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AIMS Mathematics, 2022 This paper addresses the issue of estimating the population mean for non-response using simple random sampling. A new family of estimators is proposed for estimating the population mean with auxiliary information on the sample mean and the rank of the ...
Sohaib Ahmad +5 more
doaj +1 more source
Speech Recognition With Auxiliary Information [PDF]
IEEE Transactions on Speech and Audio Processing, 2004 State-of-the-art automatic speech recognition (ASR) systems are usually based on hidden Markov models (HMMs) that emit cepstral-based features which are assumed to be piecewise stationary. While not really robust to noise, these features are also known to be very sensitive to "auxiliary" information, such as pitch, energy, rate-of-speech (ROS), etc ...
T.A. Stephenson, M.M. Doss, H. Bourlard
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Improved Lower Bounds on Mutual Information Accounting for Nonlinear Signal-Noise Interaction [PDF]
, 2018 In fiber-optic communications, evaluation of mutual information (MI) is still an open issue due to the unavailability of an exact and mathematically tractable channel model.
Agrell, Erik +4 more
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On Lossless Coding With Coded Side Information [PDF]
, 2009 This paper considers the problem, first introduced by Ahlswede and Korner in 1975, of lossless source coding with coded side information. Specifically, let X and Y be two random variables such that X is desired losslessly at the decoder while Y serves as
Effros, Michelle, Marco, Daniel
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