Check out some photos from a November 23/98 hike to
Mallory Cave, right in NCAR's backyard. NOTE: I now longer climb many
mountains, or have red hair like this! Photo 1: The long climb up. Photo 2: I'm stuck! Photo 3: At the door of Mallory Cave.
(That's me in the black shirt. Please note my hair is much less red
now, and much more salt-and-pepper (mostly salt)). Photo 4: NCAR from Mallory Cave. Photo 5. The rugged crew.
Modelling correlated count data with excess zeros. This is joint
work with Tariqul Hasan and Renjun Ma of the University of New Brunswick
Longitudinal data analysis. This is joint work with Brajendra
Sutradhar of Memorial University and Vandna Jowaheer of the University
Methods of smoothing in linear models in which the number of parameters
exceeds the number of observations
and the application of these methods in ocean and climate problems.
Theses from long ago
The title of my PhD thesis is Smoothing Techniques in
Underdetermined Linear Models . Click here for my
thesis abstract. (Actually, don't click yet.
It's not there right now).
If you're really brave, the whole book is right
here, as a gzipped postscript file.
(Yes, it is finally there to cure your insomnia!).
The title of my MSc thesis is Random Effects in Nonlinear
Regression Models. Someday I'll put in a link to the abstract and
Hasan, M.T., Sneddon G. and Ma, R.J. (2009). Pattern-mixture
zero-inflated mixed models for longitudinal unbalanced count data with
excessive zeros. Biometrical Journal51, 946-960.
Hasan, M. Tariqul and Sneddon, Gary (2009). Zero-Inflated
Poisson Regression for Longitudinal Data.
Communications in Statistics-Simulation and Computation,
Jowaheer, V, Sutradhar, B.C. and Sneddon, G. (2009).
On familial Poisson mixed models with multi-dimensional random effects.
Journal of Statistical Computation and Simulation79, 1043-1062.
Ma, R.J., Hasan, M.T., and Sneddon G. (2009).
Modelling heterogeneity in clustered count data with extra zeros using
compound Poisson random effect
Statistics in Medicine28, 2356-2369.
Hasan, M.T. and Sneddon, G. (2008).
Robust correlation structure for multivariate failure time data.
Communications in Statistics-Simulation and Computation37, 1839-1854.
Sutradhar, Brajendra C., Jowaheer, Vandna and Sneddon, Gary (2008).
On a Unified Generalized Quasi-likelihood Approach for
Familial-Longitudinal Non-Stationary Count Data.
Scandinavian Journal of Statistics, 35, 597-612.
Hasan, M. Tariqul, Sutradhar, Brajendra C. and Sneddon, Gary (2007).
On correlation models for longitudinal failure time data.
Sankhya: The Indian Journal of Statistics,
Sneddon, Gary and Sutradhar, B.C. (2004).
On semiparametric familial-longitudinal models.
Statistics and Probability Letters69, 369-379.
Sneddon, Gary (2000)
A statistical perspective on data assimilation in numerical models.
Studies in the Atmospheric Sciences, 7-21.
Berliner, L. Mark (ed.), Nychka, Douglas (ed.) and Hoar, Timothy (ed.)
Springer-Verlag Inc (Berlin; New York).
Sneddon, Gary (1999). Smoothing in an Underdetermined Linear
Model with Random Explanatory Variables.
Canadian Journal of Statistics27, 63-80.
Hasan, M.T., Ma, R. and Sneddon, G. (2009). Modeling
heterogeneity in clustered count data with extra zeros using compound
Poisson random effect.
Statistical Society of Canada Annual Meeting, Vancouver, BC.
Sneddon G., Hasan, M.T. and Ma, R. (2009). Modeling longitudinal count
data with extra zeros using compound Poisson random effect. Statistical
Society of Canada Annual Meeting, Vancouver. BC.
Sneddon G., Jowaheer, V. and Sutradhar, B.C. (2009).
Maximum QL vs. Generalized Absolute-Deviation
Based QL Inferences for Median Regression. ISS 2009, St. John's, NL.
Hasan, M. T. and Sneddon, G. (2007). Zero-inflated Poisson
regression for longitudinal data. Statistical Society of Canada Annual
Meeting, St. John's, NL.
Hasan, M. T., Sutradhar, B. C. and Sneddon, G. (2003). Analysing
Longitudinal Failure Time Data: Generalized Estimating Equations
Approach. Statistical Society of Canada Annual Meeting, Halifax,
Sneddon, Gary. Approximating Posterior Distributions in
Ensemble Forecasting. Joint Statistical Meetings (ASA), Baltimore
MD, August 1999.
Sneddon, Gary. An Approach to Smoothing in Underdetermined
Regression Models. Seminar Series, Dept. of Statistics,
Colorado State University.
Sneddon, Gary. Smoothing in an Underdetermined
Linear Model with Random Explanatory Variables .
Meeting of the Statistical Society of Canada,
Fredericton, NB, June 1997.