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Synthesis of Statistical Knowledge from Time-Dependent Data
March 1991 (vol. 13 no. 3)
pp. 265-271
ASCII Text
x 
 
D.K.Y. Chiu, A.K.C. Wong, K.C.C. Chan, "Synthesis of Statistical Knowledge from Time-Dependent Data," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no. 3, pp. 265-271, March, 1991.
 
 
BibTex
x
 
@article{ 10.1109/34.75513,
author = {D.K.Y. Chiu and A.K.C. Wong and K.C.C. Chan},
title = {Synthesis of Statistical Knowledge from Time-Dependent Data},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {13},
number = {3},
issn = {0162-8828},
year = {1991},
pages = {265-271},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.75513},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Synthesis of Statistical Knowledge from Time-Dependent Data
IS - 3
SN - 0162-8828
SP265
EP271
EPD - 265-271
A1 - D.K.Y. Chiu,
A1 - A.K.C. Wong,
A1 - K.C.C. Chan,
PY - 1991
KW - statistical knowledge; time-dependent data; multivariate time-dependent system processes; event-covering method; outcome space; statistically interdependent events; climatic data; simulated data; forecasting theory; statistics; time series
VL - 13
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

A general approach to analyzing multivariate time-dependent system processes with discrete-valued (both nominal and ordinal) and/or continuous-valued outcomes is presented. The approach is based on an event-covering method which selects (or covers) a subspace from the outcome space of an n-tuple of variables for estimation purposes. From the covered subspace, statistically interdependent events are selected as statistical knowledge for forecasting unknown events. The event-covering method presented is based on the use of restricted variables with only a subset of the outcomes considered. An extension to the event-covering method based on the selection of joint outcomes is discussed. The testing of this method using climatic data and simulated data which model situations in real life is described. The experiments show that the method is able to detect statistically relevant information, describe it in a meaningful and comprehensible way, and use this information for a reliable estimation (or forecast) of the missing values that will occur at some future time.

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Index Terms:
statistical knowledge; time-dependent data; multivariate time-dependent system processes; event-covering method; outcome space; statistically interdependent events; climatic data; simulated data; forecasting theory; statistics; time series
Citation:
D.K.Y. Chiu, A.K.C. Wong, K.C.C. Chan, "Synthesis of Statistical Knowledge from Time-Dependent Data," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no. 3, pp. 265-271, Mar. 1991, doi:10.1109/34.75513
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