| --- | |
| layout: post | |
| title: "Obesity in the USA" | |
| date: 2013-03-14 12:59 | |
| comments: true | |
| categories: | |
| --- | |
| <!-- Make sure to include D3 first or else the IIFEs won't work. --> | |
| <script src="http://d3js.org/d3.v2.js"></script> | |
| <script type="text/javascript" src="/Data/obesitystatedata.js"></script> |
This is a review of "Quantitative Analysis of the Full Bitcoin Transaction Graph" by Dorit Ron and Adi Shamir.
There are some incorrect details and analyses that warrant attention.
The authors have introduced several revisions to their paper, available at the same URL as before.
The criticism below may be outdated in part or in full.
| import numpy as np | |
| #from matplotlib import pyplot as plt | |
| from scipy.optimize import fmin_l_bfgs_b as bfgs,check_grad,fmin_bfgs,fmin_tnc | |
| from scipy.io import loadmat | |
| import cPickle | |
| class params: | |
| ''' |
| """ | |
| Three ways of computing the Hellinger distance between two discrete | |
| probability distributions using NumPy and SciPy. | |
| """ | |
| import numpy as np | |
| from scipy.linalg import norm | |
| from scipy.spatial.distance import euclidean | |
| #!/bin/bash | |
| # | |
| # Shell script to automatically configure a new Flask, nginx and uWSGI based blog | |
| # on an Amazon EC2 instance. | |
| # | |
| # See http://bit.ly/MeGwjD for more information! | |
| # | |
| # If you are forking this for your own custom configuration script, see the following other gists: | |
| # https://gist.github.com/3071737 | |
| # https://gist.github.com/3071739 |
| import urllib, urllib2 | |
| import simplejson as json | |
| import dateutil.parser | |
| import datetime | |
| import matplotlib.dates | |
| import matplotlib.finance | |
| from matplotlib import pyplot as plt | |
| import nltk.corpus | |
| import numpy as np | |
| import re |
| import json | |
| import os | |
| import time | |
| import requests | |
| from PIL import Image | |
| from StringIO import StringIO | |
| from requests.exceptions import ConnectionError | |
| def go(query, path): | |
| """Download full size images from Google image search. |
| library("hdf5") | |
| hdf5::hdf5load("fileName.mat") | |
| # To show the value of chData, for example, | |
| chData$ch1$value[[1]] | |
| import h5py | |
| f = h5py.File('fileName.mat') | |
| fileHeader = f['fileInfo'] | |
| data = f['chData'] | |
| dataHeaders = f['chHeader'] | |
| numChannels = len(data) |
| """ | |
| (C) Mathieu Blondel - 2010 | |
| License: BSD 3 clause | |
| Implementation of the collapsed Gibbs sampler for | |
| Latent Dirichlet Allocation, as described in | |
| Finding scientifc topics (Griffiths and Steyvers) | |
| """ |