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Nordman, Daniel J.
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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6

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/..
 
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7

City, Enclave and Continent in the Mediterranean (16th-19th..:

Nordman, Daniel
Cahiers de la Méditerranée.  , 2020
Link: https://doi.org/10.4000/..
 
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8

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..
 
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9

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/..
 
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10

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/..
 
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11

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/..
 
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12

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/..
 
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13

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/..
 
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14

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..
 
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15

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/..
 
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