DN
Daniel J. Nordman
math.STstat.THstat.MEstat.COconditional probabilitycs.DMcs.DScs.LGcs.SIhypothesis test
On Valency
published · living versionsW_v8ygqydf·v1 · currentpublished
W_tnr45wyt·v1published
Preprints & journals
21 papers in the corpus · 2005–2025Frequency Domain Resampling for Gridded Spatial Data2504.19337v2 · Souvick Bera, Daniel J. Nordman, Soutir Bandyopadhyay2025 · 0 citationsarXiv
A formal goodness-of-fit test for spatial binary Markov random field models.39437007 · Biswas, Eva, Kaplan, Andee, Kaiser, Mark S et al.2024 · 1 citationBiometrics. 2024;80(4)
Properties of Test Statistics for Nonparametric Cointegrating Regression Functions Based on Subsamples2312.16162v1 · Sepideh Mosaferi, Mark S. Kaiser, Daniel J. Nordman2023 · 0 citationsarXiv
Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity2311.07031v2 · Hyemin Yeon, Xiongtao Dai, Daniel John Nordman2023 · 3 citationsarXiv
On optimal block resampling for Gaussian-subordinated long-range dependent processes2208.01713v1 · Qihao Zhang, Soumendra N. Lahiri, Daniel J. Nordman2022 · 4 citationsarXiv
Constructing Prediction Intervals Using the Likelihood Ratio Statistic2109.13970v2 · Qinglong Tian, Daniel J. Nordman, William Q. Meeker2021 · 1 citationarXiv
Methods to Compute Prediction Intervals: A Review and New Results2011.03065v2 · Qinglong Tian, Daniel J. Nordman, William Q. Meeker2020 · 26 citationsarXiv
Predicting the Number of Future Events2007.08648v3 · Qinglong Tian, Fanqi Meng, Daniel J. Nordman et al.2020 · 5 citationsarXiv
Simulating Markov random fields with a conclique-based Gibbs sampler1808.04739v2 · Andee Kaplan, Mark S. Kaiser, Soumendra N. Lahiri et al.2018 · 6 citationsarXiv
Convolved subsampling estimation with applications to block bootstrap1706.07237v1 · Johannes Tewes, Daniel J. Nordman, Dimitris N. Politis2017 · 18 citationsarXiv
Properties and Bayesian fitting of restricted Boltzmann machines1612.01158v3 · Andee Kaplan, Daniel Nordman, Stephen Vardeman2016 · 4 citationsarXiv
On the instability and degeneracy of deep learning models1612.01159v3 · Andee Kaplan, Daniel Nordman, Stephen Vardeman2016 · 6 citationsarXiv
A frequency domain empirical likelihood method for irregularly spaced spatial data1503.04985v1 · Soutir Bandyopadhyay, Soumendra N. Lahiri, Daniel J. Nordman2015 · 42 citationsAnnals of Statistics 2015, Vol. 43, 519-545on Valency
Why do simple algorithms for triangle enumeration work in the real world?1407.1116v1 · Jonathan W. Berry, Luke A. Fostvedt, Daniel J. Nordman et al.2014 · 49 citationsarXiv
Convergence rates of empirical block length selectors for block bootstrap1403.3275v1 · Daniel J. Nordman, Soumendra N. Lahiri2014 · 13 citationsBernoulli 2014, Vol. 20, No. 2, 958-978
A nonstandard empirical likelihood for time series1401.1026v1 · Daniel J. Nordman, Helle Bunzel, Soumendra N. Lahiri2014 · 13 citationsAnnals of Statistics 2013, Vol. 41, No. 6, 3050-3073
Usefulness of 10 genomic regions in soybean associated with sudden death syndrome resistance.23793550 · Luckew, A S, Leandro, L F, Bhattacharyya, M K et al.2014 · 30 citationsTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik. 2013;126(9):2391-403
Goodness of fit tests for a class of Markov random field models1205.6086v1 · Mark S. Kaiser, Soumendra N. Lahiri, Daniel J. Nordman2012 · 23 citationsAnnals of Statistics 2012, Vol. 40, No. 1, 104-130
A note on the stationary bootstrap's variance0903.0474v1 · Daniel J. Nordman2009 · 43 citationsAnnals of Statistics 2009, Vol. 37, No. 1, 359-370
A frequency domain empirical likelihood for short- and long-range dependence0708.0197v1 · Daniel J. Nordman, Soumendra N. Lahiri2007 · 70 citationsAnnals of Statistics 2006, Vol. 34, No. 6, 3019-3050
On optimal spatial subsample size for variance estimationmath/0503671v1 · Daniel J. Nordman, Soumendra N. Lahiri2005 · 36 citationsAnnals of Statistics 2004, Vol. 32, No. 5, 1981-2027on Valency
Career total: 106 works. 21 are in this corpus.
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