Last Updated: 2005jul26
Astro-Statistics Seminar
Statistics 310hfr, Fall/Winter 2004-2005
Harvard University
Presentations at the Astro-Statistics Seminar, Stat 310, taught by
Xiao-Li Meng (Harvard). Note: List still incomplete.
- Aneta Siemiginowska, CfA
- 21 Sep 2004
- Astronomy in the Age of Space: An Overview [.pdf]
This is a broad overview of astronomy as an introduction to
Astrostatistics. We describe research methods and techniques, as well
as questions posed by some recent observations. We concentrate on
problems related to high energy astrophysics and consider the data
obtained by modern X-ray space telescopes such as Chandra X-ray
Observatory and XMM-Newton. In this first lecture we define basic
astronomical terms and present different type of data used by
astrophysicists. We also describe statistical methods applied in the
standard data analysis process. We show examples of the data analysis
and physical interpretation of the results.
- Alanna Connors, Eureka Scientific
- 05 Oct 2004
- Astronomy Instruments from the Quantum Age: Do New Instruments, or New Ideas, Drive New Science? [.ppt]
The atomic and nuclear age of the past century allowed astronomers
(and others) to peer into the "invisible world" of high- and low-
energy radiation, from radio waves to gamma-rays, to see and
understand the underlying quantum- and relativistic processes. How
did the inference techniques change and grow with the new sciences?
In this presentation, we go over the growth (and stagnation,
sometimes!) of statistics in modern astrophysics; from the
eye-and-hand techniques to more sophisticated imaging, energy-spectra,
and timing methods. We will have some of the early instrumentation,
and stories from that time, on hand -- as well as models of new
twenty-first century instruments.
- Vinay Kashyap, CfA
- 09 Nov 2004
- Red atoms and Blue atoms: Astrophysical Inference using Spectral Lines [.ppt]
The foundations of astrophysics are rooted in photon spectra, and
spectral energy distributions are generally our sole source of
information on the composition and environment of extrasolar
objects. We will introduce concepts such as atomic lines, line
and continuum emission, ionization balance, and emission measure
distributions, with emphasis on how they are used to understand
the coronae of solar like stars.
- Andreas Zezas, CfA
- 30 Nov 2004
- X-ray observations of neutron stars and black holes in nearby galaxies [.pdf]
- Jonathan Devor, CfA
- 22 Feb 2005
- On detemining spectral types from light curves
- Jeremy Drake, CfA
- 22 Feb 2005
- On Systematic Errors and Calibration
- Eric Kolaczyk, BU
- 08 Mar 2005
- Multiscale GLMs w/ Appl to Poisson Time Series [.pdf]
I will describe an extension of the standard wavelet-based
estimation framework to the class of generalized linear models, based on
the use of recursive partitioning and piecewise polynomials. Estimates
produced in this setting yield information on both scale and extent of
local structure in an underlying time series. They are accompanied by
both efficient algorithms and near-optimal theoretical properties. I will
illustrate the use of these models in the context of estimating flux
underlying gamma-ray burst signals. Numerous extensions are possible.
- Rima Izem, HU
- 22 Mar 2005
- Principal Components Analysis
- Hosung Kang, HU
- 05 Apr 2005
- Distribution of the Temperature of Stellar Corona (DEM) [.pdf]
I will continue to talk about the on-going project for estimating the
distribution of the temperature of stellar corona also known as the
differential emission measure (DEM).
I will focus on hierarchical missing data structuring and handling the
emissivity matrices in terms of efficient data augmentation.
Correcting the wavelength errors at ATOMDB will be discussed. I will
provide the model diagnostics related to the error correction by using
posterior predictive distribution.
- Yaming Yu, HU/UC (Irvine)
- 19 Apr 2005
- Statistical Modeling of Sunspot Cycles [.pdf]
- David van Dyk, UC (Irvine)
- 17 May 2005
- High Energy Astrophysics: What do Statistical Methods Have to Offer? [.pdf]
CHASC