David R. Brillinger

发表

Nerve Cell Spike Train Data Analysis: A Progression of Technique

David R. Brillinger, D. Brillinger, 1992 .

A study of second- and third-order spectral procedures and maximum likelihood in the identification of a bilinear system

David R. Brillinger, D. Brillinger, 1990, IEEE Trans. Acoust. Speech Signal Process..

Moving Particle Tracks: Modelling and Data Analysis.

David R. Brillinger, 1996 .

The 2005 Neyman Lecture: Dynamic Indeterminism in Science

David R. Brillinger, D. Brillinger, 2008, 0808.0620.

Some Contrasting Examples of the Time and Frequency Domain Approaches to Time Series Analysis

David R. Brillinger, 1982 .

Some data analyses using mutual information

David R. Brillinger, D. Brillinger, 2004 .

2 Some examples of random process environmental data analysis

David R. Brillinger, 2000, Bioenvironmental and public health statistics.

Learning a Potential Function From a Trajectory

David R. Brillinger, 2007, IEEE Signal Processing Letters.

Some wavelet-based analyses of Markov chain data

David R. Brillinger, Rafael A. Irizarry, Pedro Alberto Morettin, 2000, Signal Processing.

Examples of Scientific Problems and Data Analyses in Demography, Neurophysiology, and Seismology

David R. Brillinger, D. Brillinger, 1994 .

Rejoinder: The 2005 Neyman Lecture: Dynamic Indeterminism in Science

David R. Brillinger, D. Brillinger, 2008, 0808.0639.

practice / data analysis

Luisa Turrin Fernholz, David R. Brillinger, Stephan Morgenthaler, 2022 .

New directions in time series analysis

David R. Brillinger, Murad S. Taqqu, John Geweke, 1993 .

Time Series

David R. Brillinger, D. Brillinger, 2018, Randomization, Bootstrap and Monte Carlo Methods in Biology.

An investigation of the second- and higher-order spectra of music

David R. Brillinger, Rafael A. Irizarry, D. Brillinger, 1998, Signal Process..

Measuring The Association Of Point Processes: A Case History

David R. Brillinger, D. Brillinger, 1976 .

Risk Assessment, Seismological

David R. Brillinger, 2006 .

Probabilistic risk assessment for wildfires

David R. Brillinger, John W. Benoit, Haiganoush K. Preisler, 2006 .

Does Anyone Know When the Correlation Coefficient Is Useful? A Study of the Times of Extreme River Flows

David R. Brillinger, D. Brillinger, 2001, Technometrics.

Analyzing finger-movement trajectories with stochastic differential equations incorporating persistence

David R. Brillinger, Valerie Morash, D. Brillinger, 2017, 2017 IEEE World Haptics Conference (WHC).

Tukey, John Wilder

David R. Brillinger, 2006 .

The 2005 Neyman Lecture: Dynamic Indeterminism in Science. Rejoinder.

David R. Brillinger, D. Brillinger, 2008 .

Soccer/World Football

David R. Brillinger, D. Brillinger, 2011 .

Uses of cumulants in wavelet analysis

David R. Brillinger, D. Brillinger, 1994, Optics & Photonics.

Time Series: Data Analysis and Theory.

David R. Brillinger, W. D. Ray, D. Brillinger, 1982 .

Combining frequency and time domain approaches to systems with multiple spike train input and output

David R. Brillinger, J. R. Rosenberg, K. A. Lindsay, 2008, Biological Cybernetics.

Graphics, 1965-1985

David R. Brillinger, William S. Cleveland, John W. Tukey, 1988 .

MODELLING AND ANALYSIS OF SOME RANDOM PROCESS DATA FROM NEUROPHYSIOLOGY

David R. Brillinger, D. Brillinger, 2003 .

Statistical Inference for Irregularly Observed Processes

David R. Brillinger, D. Brillinger, 1984 .

A maximum likelihood approach to frequency-wavenumber analysis

David R. Brillinger, D. Brillinger, 1985, IEEE Trans. Acoust. Speech Signal Process..

Simulating constrained animal motion using stochastic differential equations

David R. Brillinger, D. Brillinger, 2003 .

Statistical Inference for Stationary Point Processes

David R. Brillinger, D. Brillinger, 2012 .

Some examples of the communication of risk and uncertainty

David R. Brillinger, 2010 .

Directions in time series : proceedings of the IMS special topics meeting on time series analysis, Iowa State University, Ames, May 1-3, 1978

David R. Brillinger, George C. Tiao, 1980 .

Some basic aspects and uses of higher-order spectra

David R. Brillinger, D. Brillinger, 1994, Signal Process..

Empirical examination of the threshold model of neuron firing

David R. Brillinger, José P. Segundo, D. Brillinger, 1979, Biological Cybernetics.

Review of 'Random Point Processes' (Snyder, D. L.; 1975)

David R. Brillinger, 1976, IEEE Transactions on Information Theory.

A Statistical Study of the Seismic Intensities of the 1755 Lisbon Earthquake

David R. Brillinger, B. A. Bolt, D. Brillinger, 2009 .

The key role of tapering in spectrum estimation

David R. Brillinger, 1981 .

Commentary by Peter Guttorp

Peter Guttorp, David R. Brillinger, 2012 .

Aligning some Nicholson sheep‐blowfly data sets with system input periods

David R. Brillinger, D. Brillinger, 2013 .

An analysis of an ordinal-valued time series

David R. Brillinger, 1996 .

Assessing Connections in Networks of Biological Neurons

David R. Brillinger, D. Brillinger, 2007 .

1. The Nature of Time Series and Their Frequency Analysis

David R. Brillinger, 2001 .

FOR TIME SERIES AND POINT PROCESSES

David R. Brillinger, Con Cerning Graphical, D. Brillinger, 1996 .

The Asymptotic Behaviour of Tukey's General Method of Setting Approximate Confidence Limits (The Jackknife) When Applied to Maximum Likelihood Estimates

David R. Brillinger, D. Brillinger, 1964 .

The Analysis of Time Series Collected in an Experimental Design

David R. Brillinger, D. Brillinger, 1973 .

Examples Bearing on the Definition of Fiducial Probability with a Bibliography

David R. Brillinger, D. Brillinger, 1962 .

An analysis of Chinese Super League partial results

David R. Brillinger, D. Brillinger, 2009 .

Asymptotic properties of spectral estimates of second order

David R. Brillinger, D. Brillinger, 1969 .

Employing stochastic differential equations to model wildlife motion

David R. Brillinger, Alan A. Ager, John G. Kie, 2002 .

Time series in the frequency domain

David R. Brillinger, G. J. Janacek, D. Brillinger, 1985 .

Parameter Estimation for Nongaussian Processes via Second and Third Order Spectra with an Application to Some Endocrine Data

David R. Brillinger, 1989 .

A note on the rate of convergence of a mean

David R. Brillinger, D. Brillinger, 1962 .

Point Processes, Spatial

Peter Guttorp, David R. Brillinger, Frederic Paik Schoenberg, 2006 .

The calculation of cumulants via conditioning

David R. Brillinger, D. Brillinger, 1969 .

Analyzing point processes subjected to random deletions

David R. Brillinger, D. Brillinger, 1979 .

MAXIMUM LIKELIHOOD ESTIMATION IN A LATENT VARIABLE PROBLEM

David R. Brillinger, D. Brillinger, H. Preisler, 1983 .

Time series, point processes, and hybrids*

David R. Brillinger, D. Brillinger, 1994 .

Time series analysis and applications to geophysical systems

David R. Brillinger, Enders A. Robinson, Frederic Paik Schoenberg, 1992 .

Consistent detection of a monotonic trend superposed on a stationary time series

David R. Brillinger, D. Brillinger, 1989 .

Further analysis of the Joyner-Boore attenuation data

David R. Brillinger, D. Brillinger, H. Preisler, 1985 .

Fourier and likelihood analysis in NMR spectroscopy

David R. Brillinger, D. Brillinger, R. Kaiser, 1992 .

Elephant Seal Movements: Dive Types and Their Sequences

David R. Brillinger, Brent S. Stewart, D. Brillinger, 1997 .

An Application of Statistics to Meteorology: Estimation of Motion

David R. Brillinger, D. Brillinger, 1997 .

The collected works of John W. Tukey

David R. Brillinger, John W. Tukey, J. Tukey, 1984 .

Empirical Modelling of Population Time Series Data: The Case of Age and Density Dependent Vital Rates

John Guckenheimer, Peter Guttorp, David R. Brillinger, 2012 .

MODELLING SOME NORWEGIAN SOCCER DATA

David R. Brillinger, D. Brillinger, 2006 .

Trend analysis: Time series and point process problems

David R. Brillinger, D. Brillinger, 1994 .

The Analyticity of the Roots of a Polynomial as Functions of the Coefficients

David R. Brillinger, D. Brillinger, 1966 .

A more precise chronology of earthquakes produced by the San Andreas fault in southern California

David R. Brillinger, Kerry E Sieh, D. Brillinger, 1989 .

Mutual information in the frequency domain

David R. Brillinger, Apratim Guha, D. Brillinger, 2007 .

The Use Of Potential Functions In Modelling Animal Movement

David R. Brillinger, Alan A. Ager, John G. Kie, 2012 .

Three Environmental Probabilistic Risk Problems

David R. Brillinger, D. Brillinger, 2003 .

Cross-Spectral Analysis of Processes with Stationary Increments Including the Stationary $G/G/\infty$ Queue

David R. Brillinger, D. Brillinger, 1974 .

Some statistical aspects of low-dose electron imaging of crystals

David R. Brillinger, Kenneth H. Downing, Robert M. Glaeser, 1990 .

New Directions in Time Series Analysis : Part II

David R. Brillinger, Murad S. Taqqu, Emanuel Parzen, 1993 .

[Prediction of Future Observations in Growth Curve Models]: Comment

David R. Brillinger, D. Brillinger, 1987 .

SECOND-ORDER MOMENTS AND MUTUAL INFORMATION IN THE ANALYSIS OF TIME SERIES

David R. Brillinger, D. Brillinger, 2002 .

A Particle Migrating Randomly on a Sphere

David R. Brillinger, D. Brillinger, 1997 .

Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions

David R. Brillinger, Russell D. Wolfinger, Timothy G. Gregoire, 1998 .

On the Number of Solutions of Systems of Random Equations

David R. Brillinger, D. Brillinger, 1972 .

Some uses if cumulants in wavelet analysis

David R. Brillinger, D. Brillinger, 1996 .

A Property of Low-Pass Filters

David R. Brillinger, 1965 .

Interpretation of kernels. II. same-signed 1st- and 2nd-degree (main-diagonal) kernels of the human pupillary system

Lawrence Stark, David R. Brillinger, George K. Hung, 1979 .

The Practice of Data Analysis: Essays in Honor of John W. Tukey

Luisa Turrin Fernholz, David R. Brillinger, D. V. Lindley, 2014 .

Point Processes, Spatial-Temporal†‡

Peter Guttorp, David R. Brillinger, Frederic Paik Schoenberg, 2014 .

Time Series: General

David R. Brillinger, D. Brillinger, 2015 .

Probabilistic risk modeling at the wildland urban interface: the 2003 Cedar Fire

David R. Brillinger, D. Brillinger, B. S. Autrey, 2009 .

Case studies in biometry

David R. Brillinger, Joel B. Greenhouse, Lynne Billard, 1995 .

Modelling particles moving in a potential field with pairwise interactions and an application

David R. Brillinger, Michael J. Wisdom, D. Brillinger, 2011 .

An exploratory analysis of the Joyner-Boore attenuation data

David R. Brillinger, D. Brillinger, H. Preisler, 1984 .

A note on a representation for the Gauss-Poison process☆

David R. Brillinger, 1978 .

A Potential Function Approach to the Flow of Play in Soccer

David R. Brillinger, 2007 .

An Harmonic Analysis of Nonstationary Multivariate Economic Processes

David R. Brillinger, Michio Hatanaka, D. Brillinger, 1969 .

Statistical Methods of Econometrics.

David R. Brillinger, D. Brillinger, E. Malinvaud, 1967 .

Probability based models for estimation of wildfire risk

David R. Brillinger, John W. Benoit, D. Brillinger, 2004 .