TY - JOUR
T1 - On the non-standard distribution of empirical likelihood estimators with spatial data
AU - Van Hala, Matthew
AU - Bandyopadhyay, Soutir
AU - Lahiri, Soumendra N.
AU - Nordman, Daniel J.
N1 - Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/8
Y1 - 2017/8
N2 - This note highlights some unusual and unexpected behavior in point estimation using empirical likelihood (EL). In particular, frequency domain formulations of EL, based on the periodogram and estimating functions, have been proposed in the literature for time and spatial processes. However, in contrast to the time series case and most applications of EL, the maximum EL parameter estimator exhibits surprisingly non-standard asymptotic properties for irregularly located spatial data. In fact, a consistent normal limit cannot be guaranteed, as is typical for EL. Despite this, log-ratio EL statistics maintain standard chi-square limits with such spatial data.
AB - This note highlights some unusual and unexpected behavior in point estimation using empirical likelihood (EL). In particular, frequency domain formulations of EL, based on the periodogram and estimating functions, have been proposed in the literature for time and spatial processes. However, in contrast to the time series case and most applications of EL, the maximum EL parameter estimator exhibits surprisingly non-standard asymptotic properties for irregularly located spatial data. In fact, a consistent normal limit cannot be guaranteed, as is typical for EL. Despite this, log-ratio EL statistics maintain standard chi-square limits with such spatial data.
KW - Discrete Fourier transform
KW - Frequency domain empirical likelihood
KW - Periodogram
KW - Stochastic sampling
UR - https://www.scopus.com/pages/publications/85016009690
U2 - 10.1016/j.jspi.2017.02.007
DO - 10.1016/j.jspi.2017.02.007
M3 - Article
AN - SCOPUS:85016009690
SN - 0378-3758
VL - 187
SP - 109
EP - 114
JO - Journal of Statistical Planning and Inference
JF - Journal of Statistical Planning and Inference
ER -