Review of 'Random Point Processes' (Snyder, D. L.; 1975). - David R. Brillinger (IEEE Trans. Inf. Theory, 1976)

A maximum likelihood approach to frequency-wavenumber analysis. - David R. Brillinger (IEEE Trans. Acoust. Speech Signal Process., 1985)

A study of second- and third-order spectral procedures and maximum likelihood in the identification of a bilinear system. - David R. Brillinger (IEEE Trans. Acoust. Speech Signal Process., 1990)

Some basic aspects and uses of higher-order spectra. - David R. Brillinger (Signal Process., 1994)

An investigation of the second- and higher-order spectra of music. - David R. Brillinger; Rafael A. Irizarry (Signal Process., 1998)

2 Some examples of random process environmental data analysis. - David R. Brillinger (Bioenvironmental and public health statistics, 2000)

Some wavelet-based analyses of Markov chain data. - David R. Brillinger; Pedro Alberto Morettin; Rafael A. Irizarry; Chang Chiann (Signal Process., 2000)

Time series - data analysis and theory. - David R. Brillinger (SIAM, 2001)

Does Anyone Know When the Correlation Coefficient Is Useful? A Study of the Times of Extreme River Flows. - David R. Brillinger (Technometrics, 2001)

Discussion. - David R. Brillinger (Technometrics, 2006)

Learning a Potential Function From a Trajectory. - David R. Brillinger (IEEE Signal Process. Lett., 2007)

Combining frequency and time domain approaches to systems with multiple spike train input and output. - David R. Brillinger; K. A. Lindsay; J. R. Rosenberg (Biol. Cybern., 2009)

Analyzing finger-movement trajectories with stochastic differential equations incorporating persistence. - Valerie S. Morash; David R. Brillinger (WHC, 2017)