Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes
Wichelhaus C, Langrock R (2012)
Electronic Journal of Statistics 6: 1670-1714.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Wichelhaus, Cornelia;
Langrock, RolandUniBi
Einrichtung
Erscheinungsjahr
2012
Zeitschriftentitel
Electronic Journal of Statistics
Band
6
Seite(n)
1670-1714
ISSN
1935-7524
Page URI
https://pub.uni-bielefeld.de/record/2902619
Zitieren
Wichelhaus C, Langrock R. Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes. Electronic Journal of Statistics. 2012;6:1670-1714.
Wichelhaus, C., & Langrock, R. (2012). Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes. Electronic Journal of Statistics, 6, 1670-1714. doi:10.1214/12-ejs725
Wichelhaus, Cornelia, and Langrock, Roland. 2012. “Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes”. Electronic Journal of Statistics 6: 1670-1714.
Wichelhaus, C., and Langrock, R. (2012). Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes. Electronic Journal of Statistics 6, 1670-1714.
Wichelhaus, C., & Langrock, R., 2012. Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes. Electronic Journal of Statistics, 6, p 1670-1714.
C. Wichelhaus and R. Langrock, “Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes”, Electronic Journal of Statistics, vol. 6, 2012, pp. 1670-1714.
Wichelhaus, C., Langrock, R.: Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes. Electronic Journal of Statistics. 6, 1670-1714 (2012).
Wichelhaus, Cornelia, and Langrock, Roland. “Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes”. Electronic Journal of Statistics 6 (2012): 1670-1714.
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