Doug Nychka's Seminar talks with supplements
Archive of all talks
How I make talks in pdflatex
Selected, recent talks:
- Multi-resolution Models for Large Spatial Datasets
For a general sciences audience. National Science Foundation, April 2014.
Statistics Department, Iowa State University, Ames IA, March 2013.
Shorter and more tutorial talk at AGU, San Francisco, December, 2012.
- Reconstructing CO2 for the last 2000 years
University of British Columbia, Vancouver, October 2014 (With
Invited poster for JSM, Boston, August 2014.
- KAUST short course on spatial data, inverse
problems, and delaing with large data sets
Lectures given at KAUST, Saudi Arabia, March 2014
Intro to Kriging
Tapering covariances with Mary Jane Project Example
LatticeKrig - flexible spatial model for large data
Linear inverse problem for reconstructing past concentrations of
CO2 from an ice core
- Uncertain Climate, Uncertain Weather
Statistics Department, University of Toronto, March 2013.
of Statistics Public Lecture Series
- Ten Lectures on Statistics and Climate
CMBS Lecture series, University of Washington, Seattle, August, 2012.
A friendly talk about climate change and statistics
Climate Past, Climate Present, Climate Future, A tale
told by a statistician
My evolving public lecture about how statistics is related to
understanding climate and cliamte change.
SAMSI Public Lecture February 2011, Durham, NC. (PDF)
My first public lecture on climate and statistics featuring Donald Rumsfeld
First presented at 7th World Congress on Probablity and
Statistics, Singapore, July 2008.
A Climate Model Animation (mp4) 2.3Mb
This is a striking animation of
the simulated clouds by a high resolution atmospheric model.
These runs use the NCAR Community Atmospheric Model (CAM) as part of a
Breakthrough Science Project using dedicated supercomputer time at
NCAR. CAM is a spectral model with this experiemnt being conducted
at T341 resolution -- translating into a grid of
approximately 1/3 of a degree (40km) at the equator.
Scientific description and
model data sources
James J. Hack (ESSL),
Julie M. Caron (ESSL),
John E. Truesdale (ESSL)
Tim Scheitlin (CISL)
Ryan McVeigh (CISL)
About the Santa ensemble or wedding couple used in some of these talks
The Santa or Wedding images are taken from an article:
Jason Salavon (2004). Artist Project: 100 Special Moments, Cabinet
15, pp 77- 81.
Is part of a series of art projects,
100 Special Moments by Jason Salavon. His completed work is Kids with
Santa , a composite Santa image that I understand to be a
weighted sum of mean and median ensemble pixel values. I was surprised
that Salavon's web page does not explicitly show the ensemble or give
the details of his process.
The construction, even though it is fairly
complicated, is not referenced and I interpret this to mean that the
process of construction and the underlying sample of 100 images is not
important to enjoying the work. But it does
raise a caution about taking my illustration in the talk too literally. It
is not clear how Salavon choose the 100 Santa images, what digital
preprocessing he might have done to align images, adjust color levels,
the 100 Santa's may not be the kind of representative and random
ensemble one would strive for in a statistical context.
The 100 images leading to the santa estimate of the "central tendancy"
are reproduced in the article by Salavon in Cabinet Magazine,
- Two lectures on the relationship between splines and
Most recently given at the University of British Columbia, CA,
October 2010. This material is very similar to the fields short
Demo from lecture. See
Short course CD .
Smoothing Data and Spline PDF
Spatial Process Estimates PDF
- Spatial statistics for large data sets using tapering
Spatial statistics, black diamonds and the fields
University of Wyoming, November 2008
Mary Jane Project
for the R code and data sets. There is also a
topic from JSM 2006.