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Irimata, Kyle M.
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1

Spatial Change of Support Models for Differentially Private..:

Janicki, Ryan ; Holan, Scott H. ; Irimata, Kyle M...
Journal of Statistical Theory and Practice.  17 (2023)  2 - p. , 2023
Link: https://doi.org/10.1007/..
 
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2

Obesity: transition from adolescence to adulthood and feedb..:

Fang, Di ; Irimata, Kyle M. ; Rhodes, Rachael N..
Epidemiology, Biostatistics, and Public Health.  16 (2022)  1 - p. , 2022
Link: https://doi.org/10.2427/..
 
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3

Bootstrap ICC estimators in analysis of small clustered bin..:

Wang, Bei ; Zheng, Yi ; Irimata, Kyle M..
Computational Statistics.  34 (2019)  4 - p. 1765-1778 , 2019
Link: https://doi.org/10.1007/..
 
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4

Partitioned GMM logistic regression models for longitudinal..:

Irimata, Kyle M. ; Broatch, Jennifer ; Wilson, Jeffrey R.
Statistics in Medicine.  38 (2019)  12 - p. 2171-2183 , 2019
Link: https://doi.org/10.1002/..
 
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5

Identifying intraclass correlations necessitating hierarchi..:

Irimata, Kyle M. ; Wilson, Jeffrey R.
Journal of Applied Statistics.  45 (2017)  4 - p. 626-641 , 2017
Link: https://doi.org/10.1080/..
 
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6

Rejection Sampling with Vertical Weighted Strips:

Raim, Andrew M ; Livsey, James A ; Irimata, Kyle M
http://arxiv.org/abs/2401.09696.  , 2024
Link: http://arxiv.org/abs/240..
 
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7

Obesity: transition from adolescence to adulthood and feedb..:

Fang, Di ; Irimata, Kyle M ; Rhodes, Rachael N.
https://riviste.unimi.it/index.php/ebph/article/view/17306/15245.  , 2022
Link: https://riviste.unimi.it..
 
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