Cindy Greenwood | Academic Influence

Cindy Greenwood's AcademicInfluence.com Rankings

Cindy Greenwood

Mathematics

#4419

World Rank

#6280

Historical Rank

Probability Theory

#114

World Rank

#140

Historical Rank

Statistics

#979

World Rank

#1074

Historical Rank

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Mathematics

Cindy Greenwood's Degrees

Masters Mathematics University of British Columbia
Bachelors Mathematics University of British Columbia

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Why Is Cindy Greenwood Influential?

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According to Wikipedia, Priscilla E. Greenwood is a Canadian mathematician who is a professor emeritus of mathematics at the University of British Columbia. She is known for her research in probability theory. Education and career Greenwood graduated from Duke University with a B.A. in 1959. She began her graduate studies in operations research at the Massachusetts Institute of Technology, where she became exposed to probability theory through a course on stochastic processes offered in 1960 by Henry McKean. Soon afterwards, she switched to the University of Wisconsin–Madison, where she completed her Ph.D. in 1963 under the supervision of Joshua Chover. She taught for two years at North Carolina College before moving to the University of British Columbia in 1966. She has also been associated with Arizona State University, as a visiting professor from 2000 to 2003 and since 2004 as a research professor.

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Cindy Greenwood's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Guide to Chi-Squared Testing (1996) (409)
Construction of Equivalent Stochastic Differential Equation Models (2008) (148)
Fluctuation identities for Levy processes and splitting at the maximum (1980) (121)
Stochastic resonance enhances the electrosensory information available to paddlefish for prey capture. (2000) (112)
Sustained oscillations via coherence resonance in SIR. (2007) (108)
A bivariate stable characterization and domains of attraction (1979) (104)
Moving forward in circles: challenges and opportunities in modelling population cycles. (2017) (92)
The impact of relative residence times on the distribution of heavy drinkers in highly distinct environments (2010) (67)
The Morris–Lecar neuron model embeds a leaky integrate-and-fire model (2011) (62)
Statistical analysis of stochastic resonance in a simple setting. (1999) (62)
Stochastic Epidemic Modeling (2009) (61)
Contiguity and the statistical invariance principle (1987) (53)
Sustained oscillations for density dependent Markov processes (2011) (48)
VARIANCE OF SET-INDEXED SUMS OF MIXING RANDOM VARIABLES AND WEAK CONVERGENCE OF SET-INDEXED PROCESSES (1986) (44)
Phase coupling and synchrony in the spatiotemporal dynamics of muskrat and mink populations across Canada (2001) (44)
Construction of Local Time and Poisson Point Processes from Nested Arrays (1980) (39)
Types of drinkers and drinking settings: an application of a mathematical model. (2011) (39)
A Conditioned Limit Theorem for Random Walk and Brownian Local Time on Square Root Boundaries (1983) (38)
Efficiency of Empirical Estimators for Markov Chains (1995) (38)
Harmonic renewal measures (1982) (31)
Efficiency of estimators for partially specified filtered models (1990) (31)
Asymptotic minimaxity of a sequential estimator for a first order autoregressive model (1992) (27)
Optimum signal in a simple neuronal model with signal-dependent noise (2005) (27)
Harmonic renewal measures and bivariate domains of attraction in fluctuation theory (1982) (27)
Soft threshold stochastic resonance. (2004) (24)
One-Sided Boundary Crossing for Processes with Independent Increments (1987) (24)
Spatial coupling in cyclic population dynamics: models and data. (2000) (22)
Optimal Signal Estimation in Neuronal Models (2005) (22)
On the joint distribution of ladder variables of random walk (1993) (21)
Empirical estimators for semi-Markov processes (1996) (20)
On the domain of attraction of an operator between supremum and sum (1991) (20)
Identification and Continuity of the Distributions of Burst-Length and Interspike Intervals in the Stochastic Morris-Lecar Neuron (2011) (20)
Characterisations of Set-Indexed Brownian Motion and Associated Conditions for Finite-Dimensional Convergence (1986) (19)
Outperforming the Gibbs sampler empirical estimator for nearest-neighbor random fields (1996) (19)
“1/fα noise” is equivalent to an eigenstructure power relation (2011) (19)
Information bounds for Gibbs samplers (1998) (18)
Dynamics of Gamma Bursts in Local Field Potentials (2015) (18)
Spatio–temporal dynamics of the grey–sided vole in Hokkaido: identifying coupling using state-based Markov–chain modelling (2003) (18)
Reversible Markov chains and optimality of symmetrized empirical estimators (1999) (18)
Asymptotic minimax results for stochastic process families with critical points (1993) (18)
Optimal signal in sensory neurons under an extended rate coding concept (2007) (18)
Influence of environmental factors on college alcohol drinking patterns. (2013) (17)
Fluctuation identities for random walk by path decomposition at the maximum (1980) (17)
Constructing 1/omegaalpha noise from reversible Markov chains. (2007) (17)
Bimodal Epidemic Size Distributions for Near-Critical SIR with Vaccination (2008) (16)
Fluctuations of random walk in R d and storage systems (1977) (15)
The variation of a stable path is stable (1969) (15)
Nonparametric estimators for Markov step processes (1994) (13)
Dual Pairs of Stopping Times for Random Walk (1978) (13)
Contextual Interventions for Controlling Alcohol Drinking (2013) (12)
Stochastic Neuron Models (2016) (12)
The ISI distribution of the stochastic Hodgkin-Huxley neuron (2014) (12)
Random Stopping Preserves Regular Variation of Process Distributions (1977) (11)
Statistical Analysis of Stochastic Resonance in a Thresholded Detector (2003) (11)
Impact of Relative Residence Times in Highly Distinct Environments on the Distribution of Heavy Drinkers. (2010) (11)
How Sample Paths of Leaky Integrate-and-Fire Models Are Influenced by the Presence of a Firing Threshold (2011) (11)
Limit Theorems for Excursions from a Moving Boundary (1984) (10)
Equivalences of the large deviation principle for Gibbs measures and critical balance in the Ising model (1997) (10)
Variations of processes with stationary, independent increments (1972) (10)
An Extreme-Type Limit Law for a Storage Process (1988) (9)
A Kuramoto coupling of quasi-cycle oscillators with application to neural networks (2016) (9)
Rates of Poisson Approximation to Finite Range Random Fields (1993) (9)
Maximum Likelihood Estimator and Kullback--Leibler Information in Misspecified Markov Chain Models (1998) (8)
Markov Fields over Countable Partially Ordered Sets: Extrema and Splitting (1994) (8)
Wiener-Hopf methods, decompositions, and factorisation identities for maxima and minima of homogeneous random processes (1975) (8)
Asymptotics of Randomly Stopped Sequences with Independent Increments (1973) (8)
An Introduction to Efficient Estimation for Semiparametric Time Series (2004) (7)
Efficient Estimating Equations for Nonparametric Filtered Models (2020) (7)
VON MISES TYPE STATISTICS FOR SINGLE SITE UPDATED LOCAL INTERACTION RANDOM FIELDS (1999) (7)
INFORMATION CONTENT IN THRESHOLD DATA WITH NON-GAUSSIAN NOISE (2007) (7)
Efficient Estimation for Semiparametric Semi-Markov Processes (2004) (6)
Optimality properties of empirical estimators for multivariate point processes (1994) (6)
Efficient estimation in a nonlinear counting‐process regression model (1991) (6)
Maximum likelihood estimator and Kullback - Leibler information in misspecified Markov chain models@@@Maximum likelihood estimator and Kullback - Leibler information in misspecified Markov chain models (1997) (6)
The domain of attraction of the α-sun operator for type II and type III distributions (1997) (6)
On Prabhu's factorization of Lévy generators (1973) (6)
Fluctuation theorems and 1/f noise from a simple matrix (2016) (5)
Cox's factoring of regression model likelihoods for continuous-time processes (1998) (5)
Application of tests of chi-square type (1988) (5)
Partially Specified Filtered Models and Efficiency (1993) (5)
Stochastic facilitation in the brain? (2016) (5)
Wiener-Hopf decomposition of random walks and Lévy processes (1976) (5)
Rapidly forming, slowly evolving, spatial patterns from quasi-cycle Mexican Hat coupling. (2018) (5)
Point processes and system lifetimes (1981) (5)
On Criticality for Competing Influences of Boundary and External Field in the Ising Model (1998) (5)
Competing risks and independent minima: a marked point process approach (1981) (5)
Stochastic differentials and quasi-standard random variables (1975) (4)
Characterizing Efficient Empirical Estimators for Local Interaction Gibbs Fields (1999) (4)
The Relative Contribution of Direct and Environmental Transmission Routes in Stochastic Avian Flu Epidemic Recurrence: An Approximate Analysis (2019) (4)
Pre-averaged kernel estimators for the drift function of a diffusion process in the presence of microstructure noise (2017) (4)
The mathematical genesis of the phenomenon called "1=f noise" (10frg132) (2010) (4)
Smoothed Noise and Mexican Hat Coupling Produce Pattern in a Stochastic Neural Field (2018) (2)
Ch. 9. Empirical estimators based on MCMC data (2003) (2)
Estimating the inter-arrival time density of Markov renewal processes under structural assumptions on the transition distribution (2011) (2)
A Central Limit Theorem for Evolving Random Fields (1991) (2)
A Kuramoto coupling of quasi-cycle oscillators (2015) (2)
The effect of patterns of infectiousness on epidemic size. (2008) (2)
Extreme Time of Stochastic Processes with Stationary Independent Increments (1975) (2)
An asymptotic estimate of Brownian path variation (1969) (2)
Random fluctuations around a stable limit cycle in a stochastic system with parametric forcing (2019) (2)
Fluctuation identities for lévy processes and splitting at the maximum (1980) (2)
A CONVOLUTION EQUATION ON A COMPACT INTERVAL (1965) (2)
Geometrically stopped random walk (1978) (2)
A Markov Evolving Random Field and Spliting Random Elements (1993) (2)
Phase offset determines alpha modulation of gamma phase coherence and hence signal transmission (2022) (1)
Stochastic extrema, splitting random elements and models of crack formation (1993) (1)
Pre-averaged kernel estimators for the drift function of a diffusion process in the presence of microstructure noise (2016) (1)
Plastic systemic inhibition controls amplitude while allowing phase pattern in a stochastic neural field model. (2020) (1)
Partial Likelihood and Estimating Equations (1997) (1)
The Bigger Picture (2016) (1)
Irregular population cycles driven by environmental stochasticity and saddle crawlbys (2022) (1)
Variants of Brownian Motion (2011) (1)
Semiparametric Inference for Synchronization of Population Cycles (2001) (1)
Fluctuation theory for multidimensional processes and applications to diverse storage systems (1977) (1)
Allee Effects Plus Noise Induce Population Dynamics Resembling Binary Markov Highs and Lows (2022) (1)
The roles of direct and environmental transmission in stochastic avian flu epidemic recurrence (2017) (1)
The Morris–Lecar neuron model embeds a leaky integrate-and-fire model (2012) (1)
Noise sharing and Mexican-hat coupling in a stochastic neural field. (2019) (1)
On the density arising from the domain of attraction of an operator interpolating between sum and supremum: The α-Sun operator (2023) (0)
Spatially Structured Neural Systems (2016) (0)
Book Review: Asymptotic theory of statistical inference (1988) (0)
Epidemic highs and lows: a stochastic diffusion model for active cases. (2023) (0)
A stochastic dynamics viewpoint of some neuron models (2011) (0)
Index of authors, volume 170, 2007 (2007) (0)
Brain Dynamics and Statistics : Simulation versus Data (2017) (0)
Quasi-patterns produced by a Mexican Hat coupling of quasi-cycles (2018) (0)
Review: B. L. S. Prakasa Rao, Asymptotic theory of statistical inference (1988) (0)
On the Density arising from the Domain of Attraction between Sum and Supremum: the $\alpha$-Sun operator. (2020) (0)
Fluctuation theorems and 1/f noise from a simple matrix (2016) (0)
Population and Subpopulation Models (2016) (0)
Asymptotics of Randomly Stopped Processes. (1971) (0)
The Relative Contribution of Direct and Environmental Transmission Routes in Stochastic Avian Flu Epidemic Recurrence: An Approximate Analysis (2018) (0)
Single Neuron Models (2016) (0)
Stochastic dynamics of small networks of neurons (2019) (0)
Factorization identities for homogeneous random processes (1976) (0)
Admissible Update Functions We begin by describing general Gibbs samplers with deterministic sweeps on a square lattice (2003) (0)
Population Cycles Sustained by Noise (2013) (0)
Splitting Markov fields and combining empirical estimators (2006) (0)
The domain of attraction of the a-sun operator for type II and type III (1997) (0)
A stochastic model for water-vegetation systems and the effect of decreasing precipitation on semi-arid environments. (2018) (0)

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