Nonlinear System Theory: Another Look at Dependence

Based on the nonlinear system theory, we introduce previously undescribed dependence measures for stationary causal processes. Our physical and predictive dependence measures quantify the degree of dependence of outputs on inputs in physical systems. The proposed dependence measures provide a natura...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the National Academy of Sciences of the United States of America. - National Academy of Sciences of the United States of America. - 102(2005), 40, Seite 14150-14154
1. Verfasser: Wu, Wei Biao (VerfasserIn)
Weitere Verfasser: Rosenblatt, Murray
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2005
Zugriff auf das übergeordnete Werk:Proceedings of the National Academy of Sciences of the United States of America
Schlagworte:Nonlinear time series Limit theory Kernel estimation Weak convergence Mathematics Applied sciences Information science
LEADER 01000caa a22002652 4500
001 JST069689253
003 DE-627
005 20240622190712.0
007 cr uuu---uuuuu
008 150325s2005 xx |||||o 00| ||eng c
035 |a (DE-627)JST069689253 
035 |a (JST)3376707 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Wu, Wei Biao  |e verfasserin  |4 aut 
245 1 0 |a Nonlinear System Theory: Another Look at Dependence 
264 1 |c 2005 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Based on the nonlinear system theory, we introduce previously undescribed dependence measures for stationary causal processes. Our physical and predictive dependence measures quantify the degree of dependence of outputs on inputs in physical systems. The proposed dependence measures provide a natural framework for a limit theory for stationary processes. In particular, under conditions with quite simple forms, we present limit theorems for partial sums, empirical processes, and kernel density estimates. The conditions are mild and easily verifiable because they are directly related to the data-generating mechanisms. 
540 |a Copyright 1993/2005 The National Academy of Sciences of the United States of America 
650 4 |a Nonlinear time series 
650 4 |a Limit theory 
650 4 |a Kernel estimation 
650 4 |a Weak convergence 
650 4 |a Mathematics  |x Pure mathematics  |x Probability theory  |x Random variables  |x Stochastic processes 
650 4 |a Applied sciences  |x Systems science  |x Systems theory 
650 4 |a Mathematics  |x Pure mathematics  |x Probability theory  |x Random variables 
650 4 |a Mathematics  |x Mathematical expressions  |x Mathematical theorems 
650 4 |a Information science  |x Data products  |x Datasets  |x Time series 
650 4 |a Mathematics  |x Pure mathematics  |x Probability theory  |x Stationary processes 
650 4 |a Mathematics  |x Pure mathematics  |x Arithmetic  |x Addition  |x Partial sums 
650 4 |a Mathematics  |x Pure mathematics  |x Geometry  |x Geometric shapes  |x Curves  |x Asymptotes  |x Asymptotic properties 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Descriptive statistics  |x Statistical distributions  |x Distribution functions 
650 4 |a Mathematics  |x Pure mathematics  |x Probability theory  |x Physical Sciences 
655 4 |a research-article 
700 1 |a Rosenblatt, Murray  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Proceedings of the National Academy of Sciences of the United States of America  |d National Academy of Sciences of the United States of America  |g 102(2005), 40, Seite 14150-14154  |w (DE-627)254235379  |w (DE-600)1461794-8  |x 10916490  |7 nnns 
773 1 8 |g volume:102  |g year:2005  |g number:40  |g pages:14150-14154 
856 4 0 |u https://www.jstor.org/stable/3376707  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_JST 
912 |a GBV_ILN_11 
912 |a GBV_ILN_20 
912 |a GBV_ILN_22 
912 |a GBV_ILN_23 
912 |a GBV_ILN_24 
912 |a GBV_ILN_31 
912 |a GBV_ILN_39 
912 |a GBV_ILN_40 
912 |a GBV_ILN_60 
912 |a GBV_ILN_62 
912 |a GBV_ILN_63 
912 |a GBV_ILN_65 
912 |a GBV_ILN_69 
912 |a GBV_ILN_70 
912 |a GBV_ILN_73 
912 |a GBV_ILN_74 
912 |a GBV_ILN_90 
912 |a GBV_ILN_95 
912 |a GBV_ILN_100 
912 |a GBV_ILN_105 
912 |a GBV_ILN_110 
912 |a GBV_ILN_120 
912 |a GBV_ILN_151 
912 |a GBV_ILN_161 
912 |a GBV_ILN_168 
912 |a GBV_ILN_170 
912 |a GBV_ILN_171 
912 |a GBV_ILN_213 
912 |a GBV_ILN_230 
912 |a GBV_ILN_252 
912 |a GBV_ILN_285 
912 |a GBV_ILN_293 
912 |a GBV_ILN_370 
912 |a GBV_ILN_374 
912 |a GBV_ILN_381 
912 |a GBV_ILN_602 
912 |a GBV_ILN_702 
912 |a GBV_ILN_2001 
912 |a GBV_ILN_2003 
912 |a GBV_ILN_2005 
912 |a GBV_ILN_2006 
912 |a GBV_ILN_2009 
912 |a GBV_ILN_2010 
912 |a GBV_ILN_2011 
912 |a GBV_ILN_2014 
912 |a GBV_ILN_2015 
912 |a GBV_ILN_2018 
912 |a GBV_ILN_2020 
912 |a GBV_ILN_2021 
912 |a GBV_ILN_2026 
912 |a GBV_ILN_2027 
912 |a GBV_ILN_2044 
912 |a GBV_ILN_2050 
912 |a GBV_ILN_2057 
912 |a GBV_ILN_2061 
912 |a GBV_ILN_2088 
912 |a GBV_ILN_2107 
912 |a GBV_ILN_2110 
912 |a GBV_ILN_2190 
912 |a GBV_ILN_2360 
912 |a GBV_ILN_2943 
912 |a GBV_ILN_2946 
912 |a GBV_ILN_2949 
912 |a GBV_ILN_2951 
912 |a GBV_ILN_4012 
912 |a GBV_ILN_4035 
912 |a GBV_ILN_4037 
912 |a GBV_ILN_4046 
912 |a GBV_ILN_4112 
912 |a GBV_ILN_4125 
912 |a GBV_ILN_4126 
912 |a GBV_ILN_4242 
912 |a GBV_ILN_4249 
912 |a GBV_ILN_4251 
912 |a GBV_ILN_4305 
912 |a GBV_ILN_4306 
912 |a GBV_ILN_4307 
912 |a GBV_ILN_4313 
912 |a GBV_ILN_4322 
912 |a GBV_ILN_4323 
912 |a GBV_ILN_4324 
912 |a GBV_ILN_4325 
912 |a GBV_ILN_4335 
912 |a GBV_ILN_4338 
912 |a GBV_ILN_4346 
912 |a GBV_ILN_4367 
912 |a GBV_ILN_4393 
912 |a GBV_ILN_4700 
951 |a AR 
952 |d 102  |j 2005  |e 40  |h 14150-14154