A quantile-based method to efficiently determine model response at boundary probabilities
Advances in Mechanical Engineering, 2020 Quantiles are values of a function associated with specific probabilities. Two very specific quantiles, that is, ±3, are usually used for estimating probabilistic distribution of the function.
Xiongming Lai +4 more
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High-Dimensional Spatial Quantile Function-on-Scalar Regression. [PDF]
J Am Stat Assoc, 2022 Zhang Z, Wang X, Kong L, Zhu H.
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Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
, 2018 Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level labels. We propose a new method for aggregating predictions from smaller regions of the image into an image-level ...
CT Hiley +9 more
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The Log-Expo Inverse Gompertz Distribution: properties and Estimations [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-TiğāriyyaẗThis paper introduces the Log-Expo Inverse Gompertz Distribution (LET-IG) three-parameter distribution and examines some of its mathematical properties. The study derives the density distribution, reliability function, and hazard rate function.
محمد عبد القادر +1 more
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Quantile and probability curves without crossing [PDF]
The most common approach to estimating conditional quantile curves is to fit a curve, typically linear, pointwise for each quantile. Linear functional forms, coupled with pointwise fitting, are used for a number of reasons including parsimony of the ...
Alfred Galichon +2 more
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Generalized Method of Moments Estimator Based On Semiparametric Quantile Regression Imputation [PDF]
, 2014 In this article, we consider an imputation method to handle missing response values based on semiparametric quantile regression estimation. In the proposed method, the missing response values are generated using the estimated conditional quantile ...
Chen, Senniang, Yu, Cindy L
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Comparing quantile residual life functions by confidence bands [PDF]
A quantile residual life function is the quantile of the remaining life of a surviving subject, as it varies with time. In this article we present a nonparametric method for constructing confidence bands for the difference of two quantile residual life ...
Alba M. Franco-Pereira +2 more
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Quantile Approach of Dynamic Generalized Entropy (Divergence) Measure
Statistica, 2018 In the present paper, we propose a quantile version of generalized entropy measure for residual and past lifetimes and study their properties. Lower and upper bounds of the proposed measures are derived.
Vikas Kumar, Rekha Rani
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Alternative Means of Statistical Data Analysis: L-Moments and TL-Moments of Probability Distributions [PDF]
Statistika: Statistics and Economy Journal, 2014 Moments and cumulants are commonly used to characterize the probability distribution or observed data set. The use of the moment method of parameter estimation is also common in the construction of an appropriate parametric distribution for a certain ...
Diana Bílková
doaj
An Alternative Approach to Functional Linear Partial Quantile Regression
, 2017 We have previously proposed the partial quantile regression (PQR) prediction procedure for functional linear model by using partial quantile covariance techniques and developed the simple partial quantile regression (SIMPQR) algorithm to efficiently ...
Kong, Linglong +2 more
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