Zobrazeno 1 - 10
of 420
pro vyhledávání: '"Sinha, Debajyoti"'
Monitoring random profiles over time is used to assess whether the system of interest, generating the profiles, is operating under desired conditions at any time-point. In practice, accurate detection of a change-point within a sequence of responses
Externí odkaz:
http://arxiv.org/abs/2407.10721
Skewness is a common occurrence in statistical applications. In recent years, various distribution families have been proposed to model skewed data by introducing unequal scales based on the median or mode. However, we argue that the point at which u
Externí odkaz:
http://arxiv.org/abs/2401.04603
Control charts are often used to monitor the quality characteristics of a process over time to ensure undesirable behavior is quickly detected. The escalating complexity of processes we wish to monitor spurs the need for more flexible control charts
Externí odkaz:
http://arxiv.org/abs/2205.15422
Popular parametric and semiparametric hazards regression models for clustered survival data are inappropriate and inadequate when the unknown effects of different covariates and clustering are complex. This calls for a flexible modeling framework to
Externí odkaz:
http://arxiv.org/abs/2005.02509
Tracking and estimating Daily Fine Particulate Matter (PM2.5) is very important as it has been shown that PM2.5 is directly related to mortality related to lungs, cardiovascular system, and stroke. That is, high values of PM2.5 constitute a public he
Externí odkaz:
http://arxiv.org/abs/1909.02528
This paper demonstrates the advantages of sharing information about unknown features of covariates across multiple model components in various nonparametric regression problems including multivariate, heteroscedastic, and semi-continuous responses. I
Externí odkaz:
http://arxiv.org/abs/1809.08521
In this paper, we present a Weibull link (skewed) model for categorical response data arising from binomial as well as multinomial model. We show that, for such types of categorical data, the most commonly used models (logit, probit and complementary
Externí odkaz:
http://arxiv.org/abs/1711.05863
Autor:
Lee, Inkoo1 (AUTHOR) inkoo.lee@rice.edu, Sinha, Debajyoti2 (AUTHOR), Mai, Qing2 (AUTHOR), Zhang, Xin2 (AUTHOR), Bandyopadhyay, Dipankar3 (AUTHOR) dbandyop@vcu.edu
Publikováno v:
Biometrics. Sep2023, Vol. 79 Issue 3, p1814-1825. 12p.
Akademický článek
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In this article, we propose new Bayesian methods for selecting and estimating a sparse coefficient vector for skewed heteroscedastic response. Our novel Bayesian procedures effectively estimate the median and other quantile functions, accommodate non
Externí odkaz:
http://arxiv.org/abs/1602.09100