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Nordman, Daniel J.
202
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Online (194)
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Articles (Online) (132)
Articles (Print) (8)
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1
Properties of Test Statistics for Nonparametric Cointegrati..:
Mosaferi, Sepideh
;
Kaiser, Mark S.
;
Nordman, Daniel J.
Journal of Computational and Graphical Statistics. , 2024
Link:
https://doi.org/10.1080/..
?
2
A subsampling perspective for extending the validity of sta..:
Yu, Haihan
;
Kaiser, Mark S
;
Nordman, Daniel J
Biometrika. 110 (2023) 4 - p. 1099-1115 , 2023
Link:
https://doi.org/10.1093/..
?
3
Predicting the Number of Future Events:
Tian, Qinglong
;
Meng, Fanqi
;
Nordman, Daniel J.
.
Journal of the American Statistical Association. 117 (2021) 539 - p. 1296-1310 , 2021
Link:
https://doi.org/10.1080/..
?
4
Modeling Transitivity in Local Structure Graph Models:
Casleton, Emily
;
Nordman, Daniel J.
;
Kaiser, Mark S.
Sankhya A. 84 (2021) 1 - p. 389-417 , 2021
Link:
https://doi.org/10.1007/..
?
5
Local structure graph models with higher‐order dependence:
Casleton, Emily M.
;
Nordman, Daniel J.
;
Kaiser, Mark S.
Canadian Journal of Statistics. 49 (2020) 2 - p. 497-513 , 2020
Link:
https://doi.org/10.1002/..
?
6
City, Enclave and Continent in the Mediterranean (16th-19th..:
Nordman, Daniel
Cahiers de la Méditerranée. , 2020
Link:
https://doi.org/10.4000/..
?
7
Bivariate Kernel Deconvolution with Panel Data:
Basulto-Elias, Guillermo
;
Carriquiry, Alicia L.
;
De Brabanter, Kris
.
Sankhya B. 83 (2020) 1 - p. 122-151 , 2020
Link:
https://doi.org/10.1007/..
?
8
Empirical Likelihood for a Long Range Dependent Process Sub..:
Lahiri, Soumendra N.
;
Das, Ujjwal
;
Nordman, Daniel J.
Journal of Time Series Analysis. 40 (2019) 4 - p. 447-466 , 2019
Link:
https://doi.org/10.1111/..
?
9
Random Forest Prediction Intervals:
Zhang, Haozhe
;
Zimmerman, Joshua
;
Nettleton, Dan
.
The American Statistician. 74 (2019) 4 - p. 392-406 , 2019
Link:
https://doi.org/10.1080/..
?
10
Simulating Markov Random Fields With a Conclique-Based Gibb..:
Kaplan, Andee
;
Kaiser, Mark S.
;
Lahiri, Soumendra N.
.
Journal of Computational and Graphical Statistics. 29 (2019) 2 - p. 286-296 , 2019
Link:
https://doi.org/10.1080/..
?
11
On the S-instability and degeneracy of discrete deep learni..:
Kaplan, Andee
;
Nordman, Daniel J
;
Vardeman, Stephen B
Information and Inference: A Journal of the IMA. 9 (2019) 3 - p. 627-655 , 2019
Link:
https://doi.org/10.1093/..
?
12
CONVOLVED SUBSAMPLING ESTIMATION WITH APPLICATIONS TO BLOCK..:
Tewes, Johannes
;
Politis, Dimitris N.
;
Nordman, Daniel J.
The Annals of Statistics. 47 (2019) 1 - p. 468-496 , 2019
Link:
https://www.jstor.org/st..
?
13
A SMOOTH BLOCK BOOTSTRAP FOR QUANTILE REGRESSION WITH TIME ..:
Gregory, Karl B.
;
Lahiri, Soumendra N.
;
Nordman, Daniel J.
The Annals of Statistics. 46 (2018) 3 - p. 1138-1166 , 2018
Link:
https://www.jstor.org/st..
?
14
Properties and Bayesian fitting of restricted Boltzmann mac..:
Kaplan, Andee
;
Nordman, Daniel
;
Vardeman, Stephen
Statistical Analysis and Data Mining: The ASA Data Science Journal. 12 (2018) 1 - p. 23-38 , 2018
Link:
https://doi.org/10.1002/..
?
15
Non‐Parametric Spectral Density Estimation Under Long‐Range..:
Kim, Young Min
;
Lahiri, Soumendra N.
;
Nordman, Daniel J.
Journal of Time Series Analysis. 39 (2018) 3 - p. 380-401 , 2018
Link:
https://doi.org/10.1111/..
1-15