Jsevillamol

import numpy as np

mu_A = np.log(10)
sigma_A = 0.1

mu_B = np.log(20)
sigma_B = 0.1

def lognorm_pdf(x,mu,sigma):
  return  np.exp(-(np.log(x)-mu)**2/(2*(sigma**2))) / (x*sigma*np.sqrt(2*np.pi))

Jsevillamol

// ~->[DNET-1]->~

// File created by Ingrid Zuckerman at MonashU using Netica 5.18 on Apr 04, 2018 at 08:49:56.

bnet Three_Nations_Problem___comple {
AutoCompile = TRUE;
autoupdate = TRUE;
whenchanged = 1522795722;

visual V1 {

Jsevillamol

import re
import numpy as np
import networkx as nx

from pgmpy.models import BayesianModel
from pgmpy.factors.discrete import TabularCPD

# Utilities
rhs = lambda s : re.match(r".*(.*) = (.*).*", s).group(2).strip(";")
my_tuple_reader = lambda s : list(filter(lambda s : len(s) > 0, 

Jsevillamol

,Event,Victims (low),Victims (high),Victims,Location,Starting year,End year,No idea,,
1,Mongol sacking after the Siege of Baghdad (1258),"200,000[74]","2,000,000[75]",831,Baghdad,158,-234443,12 days,,
2,Biological warfare at the Siege of Fort Pitt,?,?,1073,"Pittsburgh, Pennsylvania",663,-49815,"1 months, 18 days",,
3,Massacre of Salsipuedes,40,40,200,Uruguay,431,The same day,1 day,,
4,Lawrence massacre,204,204,700,"Douglas County, Kansas",863,-13280,1 day,,
5,Fort Pillow massacre,235,235,800,"Lauderdale County, Tennessee",464,-13045,1 day,,
6,Johnstown Flood,"2,209[citation needed]","2,209[citation needed]",106,Pennsylvania,589,-3865,1 day,,
7,Indian Ocean slave trade,,"17,000,000[393][394]",1073,"Africa, Middle East, South Asia",293,1900s,4400 years,,
8,Punic Wars,"1,250,000[45]",1850000,763,Medi­terranean,499,146 BC,118 years,,
9,Kalinga War,1500000,2000000,342,India,499,261 BC,2 years,,

Jsevillamol

library(haven)
library(dplyr)
library(lfe)

# Inline string concatenation
`%+%` <- function(a, b) paste(a, b, sep="")

# Moran statistic
library(ape)
my_moran <- function(residuals_input, coordinates){

Jsevillamol

library(haven)
library(ape)

# Load data
slave_trade_QJE <- read_dta("R/datasets/slave_trade_QJE.dta")

# Compute regression
mylm <- lm(ln_maddison_pcgdp2000~ln_export_area 
          # Colony fixed effects
          + colony0 + colony1 + colony2 + colony3 + colony4 + colony5 + colony6 + colony7 

Jsevillamol

dag {
"Country fixed effects" [pos="-0.870,0.635"]
"Ethnic composition in district of residence" [pos="-0.830,-0.431"]
"Ethnic fixed effects" [pos="0.016,-0.643"]
"Historical ethnic slave trade intensity" [exposure,pos="-1.439,0.072"]
"Individual characteristics" [pos="0.016,0.647"]
"Long term trust" [outcome,pos="0.697,0.041"]
"Country fixed effects" -> "Historical ethnic slave trade intensity"
"Country fixed effects" -> "Long term trust"
"Ethnic composition in district of residence" -> "Long term trust"

Jsevillamol

dag {
"Ethnic fractionalization" [pos="-0.656,0.548"]
"Historical population" [pos="-0.543,0.055"]
"Modern GPD per capita" [outcome,pos="0.182,0.314"]
"Population growth" [pos="-0.362,0.631"]
"Slave trade intensity" [exposure,pos="-0.886,0.266"]
"Spatial autocorrelation" [pos="-0.174,0.071"]
"State development" [pos="-0.033,0.566"]
"Ethnic fractionalization" -> "Modern GPD per capita"
"Historical population" -> "Ethnic fractionalization"

Jsevillamol

# Script to retrieve the characteristics of the available backends in IBM Quantum Experience
# by Jaime Sevilla, based on a script from Douglas T. McClure 

# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
# Loading your IBM Q account(s)
provider = IBMQ.load_account()

Jsevillamol

jsevillamol@jsevillamol-N551JK:~/Descargas/pgilinux-2019-194-x86-64$ sudo ./install
[sudo] password for jsevillamol: 

Welcome to the PGI Linux installer!

You are installing PGI 2019 version 19.4 for Linux.
Please note that all Trademarks and Marks are the properties
of their respective owners.

Press enter to continue...