Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows

We propose a novel modeling framework to study the effect of covariates of various types on the conditional distribution of the response. The methodology accommodates flexible model structure, allows for joint estimation of the quantiles at all levels, and provides a computationally efficient estima...

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Main Authors: S. Y. Park, C. Li, S. M. Mendoza Benavides, E. van Heugten, A. M. Staicu
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2019/3743762
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author S. Y. Park
C. Li
S. M. Mendoza Benavides
E. van Heugten
A. M. Staicu
author_facet S. Y. Park
C. Li
S. M. Mendoza Benavides
E. van Heugten
A. M. Staicu
author_sort S. Y. Park
collection DOAJ
description We propose a novel modeling framework to study the effect of covariates of various types on the conditional distribution of the response. The methodology accommodates flexible model structure, allows for joint estimation of the quantiles at all levels, and provides a computationally efficient estimation algorithm. Extensive numerical investigation confirms good performance of the proposed method. The methodology is motivated by and applied to a lactating sow study, where the primary interest is to understand how the dynamic change of minute-by-minute temperature in the farrowing rooms within a day (functional covariate) is associated with low quantiles of feed intake of lactating sows, while accounting for other sow-specific information (vector covariate).
format Article
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institution Kabale University
issn 1687-952X
1687-9538
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Journal of Probability and Statistics
spelling doaj-art-7a4054a42f784ab5994218a1a422054f2025-02-03T06:42:29ZengWileyJournal of Probability and Statistics1687-952X1687-95382019-01-01201910.1155/2019/37437623743762Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating SowsS. Y. Park0C. Li1S. M. Mendoza Benavides2E. van Heugten3A. M. Staicu4Eli Lilly and Company, Indianapolis, IN 46285, USADepartment of Statistics, North Carolina State University, Raleigh, NC 27695, USADepartment of Animal Science, North Carolina State University, Raleigh, NC 27695, USADepartment of Animal Science, North Carolina State University, Raleigh, NC 27695, USADepartment of Statistics, North Carolina State University, Raleigh, NC 27695, USAWe propose a novel modeling framework to study the effect of covariates of various types on the conditional distribution of the response. The methodology accommodates flexible model structure, allows for joint estimation of the quantiles at all levels, and provides a computationally efficient estimation algorithm. Extensive numerical investigation confirms good performance of the proposed method. The methodology is motivated by and applied to a lactating sow study, where the primary interest is to understand how the dynamic change of minute-by-minute temperature in the farrowing rooms within a day (functional covariate) is associated with low quantiles of feed intake of lactating sows, while accounting for other sow-specific information (vector covariate).http://dx.doi.org/10.1155/2019/3743762
spellingShingle S. Y. Park
C. Li
S. M. Mendoza Benavides
E. van Heugten
A. M. Staicu
Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows
Journal of Probability and Statistics
title Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows
title_full Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows
title_fullStr Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows
title_full_unstemmed Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows
title_short Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows
title_sort conditional analysis for mixed covariates with application to feed intake of lactating sows
url http://dx.doi.org/10.1155/2019/3743762
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AT cli conditionalanalysisformixedcovariateswithapplicationtofeedintakeoflactatingsows
AT smmendozabenavides conditionalanalysisformixedcovariateswithapplicationtofeedintakeoflactatingsows
AT evanheugten conditionalanalysisformixedcovariateswithapplicationtofeedintakeoflactatingsows
AT amstaicu conditionalanalysisformixedcovariateswithapplicationtofeedintakeoflactatingsows