Results 11 to 20 of about 16,428,851 (199)
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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Median Information Using Auxiliary Information [PDF]
المجلة المصرية للسکـان وتنظيم الأسرة, 2001 Mounira Hussein
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Missing data and auxiliary information in surveys
Computational Statistics, 2004 The authors present estimation methods that use auxiliary information when some observations are missing from the sample. Applying the method of ratio, difference and regression estimating methods the authors propose an indirect estimate of total population on the basis of a random sample drawn according to certain sample design.
María del Mar Rueda, Silvia González
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Optimization with Access to Auxiliary Information
CoRR, 2022 Published in Transactions on Machine Learning Research (02/2024)
El Mahdi Chayti +1 more
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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.
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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 ...
Todd A. Stephenson +2 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.
Atsuhiro Narita +3 more
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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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Efficient Quantile Regression with Auxiliary Information [PDF]
, 2013 We discuss efficient estimation in quantile regression models where the quantile regression function is modeled parametrically. In addition, we assume that auxiliary information is available in the form of a conditional constraint. This is, for example, the case if the mean regression function or the variance function can be modeled parametrically, e.g.
Müller, Ursula, Van Keilegom, Ingrid
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Bayesian Optimization with Binary Auxiliary Information
CoRR, 2019 This paper presents novel mixed-type Bayesian optimization (BO) algorithms to accelerate the optimization of a target objective function by exploiting correlated auxiliary information of binary type that can be more cheaply obtained, such as in policy search for reinforcement learning and hyperparameter tuning of machine learning models with early ...
Yehong Zhang +2 more
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