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Computing confidence intervals from massive data via penalized quantile smoothing splines.
Likun Zhang
Enrique del Castillo
Andrew J. Berglund
Martin P. Tingley
Nirmal Govind
Published in:
Comput. Stat. Data Anal. (2020)
Keyphrases
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massive data
confidence intervals
data mining applications
sample size
stochastic systems
markov chain
massive datasets
test set
stopping rules
big data
roc curve
model selection
monte carlo
state space
maximum likelihood
data sources
dynamic programming
computational complexity
data structure
learning algorithm