Random Forest Prediction Intervals
Zhang, Haozhe, Zimmerman, Joshua, Nettleton, Dan, Nordman, Daniel J.
Published in The American statistician (01.10.2020)
Published in The American statistician (01.10.2020)
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Journal Article
Understanding the Links between Labour and Economic Development
Dimova, Ralitza, Nordman, Christophe J
Published in European journal of development research (01.09.2014)
Published in European journal of development research (01.09.2014)
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Journal Article
Predicting the Number of Future Events
Tian, Qinglong, Meng, Fanqi, Nordman, Daniel J., Meeker, William Q.
Published in Journal of the American Statistical Association (14.09.2022)
Published in Journal of the American Statistical Association (14.09.2022)
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Journal Article
Informal versus Formal: A Panel Data Analysis of Earnings Gaps in Madagascar
Nordman, Christophe J., Rakotomanana, Faly, Roubaud, François
Published in World development (01.10.2016)
Published in World development (01.10.2016)
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Journal Article
Case-Specific Random Forests
Xu, Ruo, Nettleton, Dan, Nordman, Daniel J.
Published in Journal of computational and graphical statistics (02.01.2016)
Published in Journal of computational and graphical statistics (02.01.2016)
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Journal Article
Empirical likelihood confidence intervals for the mean of a long-range dependent process
Nordman, Daniel J., Sibbertsen, Philipp, Lahiri, Soumendra N.
Published in Journal of time series analysis (01.07.2007)
Published in Journal of time series analysis (01.07.2007)
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Journal Article
Simulating Markov Random Fields With a Conclique-Based Gibbs Sampler
Kaplan, Andee, Kaiser, Mark S., Lahiri, Soumendra N., Nordman, Daniel J.
Published in Journal of computational and graphical statistics (02.04.2020)
Published in Journal of computational and graphical statistics (02.04.2020)
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Journal Article
Local structure graph models with higher‐order dependence
Casleton, Emily M., Nordman, Daniel J., Kaiser, Mark S.
Published in Canadian journal of statistics (01.06.2021)
Published in Canadian journal of statistics (01.06.2021)
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Journal Article
The Number of MCMC Draws Needed to Compute Bayesian Credible Bounds
Liu, Jia, Nordman, Daniel J., Meeker, William Q.
Published in The American statistician (01.08.2016)
Published in The American statistician (01.08.2016)
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Journal Article
Empirical Likelihood for a Long Range Dependent Process Subordinated to a Gaussian Process
Lahiri, Soumendra N., Das, Ujjwal, Nordman, Daniel J.
Published in Journal of time series analysis (01.07.2019)
Published in Journal of time series analysis (01.07.2019)
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Journal Article
Progressive Block Empirical Likelihood Method for Time Series
Kim, Young Min, Lahiri, Soumendra N, Nordman, Daniel J
Published in Journal of the American Statistical Association (01.12.2013)
Published in Journal of the American Statistical Association (01.12.2013)
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Journal Article
Non‐Parametric Spectral Density Estimation Under Long‐Range Dependence
Kim, Young Min, Lahiri, Soumendra N., Nordman, Daniel J.
Published in Journal of time series analysis (01.05.2018)
Published in Journal of time series analysis (01.05.2018)
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Journal Article