Sep 11th, 2009| 03:40 pm | Posted by hlee

A number of practical Bayesian data analysis books are available these days. Here, I’d like to introduce two that were relatively recently published. I like the fact that they are rather technical than theoretical. They have practical examples close to be related with astronomical data. They have R codes so that one can try algorithms on the fly instead of jamming probability theories. Continue reading ‘[Books] Bayesian Computations’ »

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book,

BUGS,

CMB,

examples,

HMM,

identifiability,

image processing,

LLN,

mixture,

MRF,

R Category:

Bayesian,

Fitting,

Languages,

MC,

MCMC,

Methods,

Stat |

1 Comment
Jun 11th, 2009| 03:52 pm | Posted by hlee

I was at the SUSY 09 public lecture given by a Nobel laureate, Frank Wilczek of QCD (quantum chromodynamics). As far as I know SUSY is the abbreviation of **SUperSYmetricity** in particle physics. Finding such antimatter(? I’m afraid I read “Angels and Demons” too quickly) will explain the unification theory among electromagnetic, weak, and strong forces and even the gravitation according to the speaker’s graph. I’ll not go into the details of particle physics and the standard model. The reason is too obvious. Instead, I’d like to show this image from wikipedia and to discuss my related questions.

Continue reading ‘how to trace?’ »

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cliche,

collion,

identifiability,

identification,

irony,

LHC,

Power,

reconstruction,

source detection,

subparticle,

supersymmetry,

SUSY,

TRACE,

type I error,

Type II error,

uncertainty principle,

unification,

youtube Category:

Cross-Cultural,

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Sep 7th, 2007| 02:02 am | Posted by hlee

From arxiv/math.st: 0708.0499v1

**Inference for mixtures of symmetric distributions** by Hunter, Wang, and Hettmansperger, Annals of Statistics, 2007, Vol.35(1), pp.224-251.

Continue reading ‘[ArXiv] Identifiability and mixtures of distributions, Aug. 3, 2007’ »