joezuntz

Some guidelines for statisticians/mathematicians writing samplers and minimizers if they want them to be useful to scientists.

We don't need bespoke, highly-trained algorithms: we need general methods that need minimal human supervision.
If your algorithm isn't parallel then it is unlikely to be useful (we have a lot of CPUs).
We don't have the derivative of the likelihood in most cases. It's hard enough calculating the likelihood itself.
Dumb down the paper a little for us; we spend most of our time doing other things.
If you supply some code along with your algorithm we are vastly more likely to at least give it a try.
Write your code in Python or C (or maybe C++ if you must). We need to integrate your it into more general frameworks, not statistical toolboxes.
Write your code as a library that we can call from our own programmes, not as a top-level program on its own.
Don't do I/O yourself in your code. We'll handle that, just return some samples/values/metadata/whatever.

	import sys
	from PySide2 import QtCore, QtGui, QtWidgets

	class InitialCard(QtWidgets.QLabel):
	def __init__(self, text, parent):
	super(InitialCard, self).__init__(text, parent)
	self.setAutoFillBackground(True)
	self.setFrameStyle(QtWidgets.QFrame.WinPanel\|QtWidgets.QFrame.Sunken)
	newFont = QtGui.QFont("MsReferenceSansSerif", 10)
	newFont.setBold(False)

	import numpy as np
	from scipy.special import comb, factorial
	from numpy import log

	n_det = 10


	# All the probability functions here are actually log probabilities.

	# Priors

	AVROculusTimeline timeline;

	AVROculus * main_loop;

	// add main_loop to the AVROculusTimeline object.
	// add
	// give the main oculus object a vector (and hold on to the vector to keep it alive)
	// and a timeline. Add a method to populate both.
	// write the transitionTo function
	// add stub translateTo

	#include <vector>
	#include <stddef.h>
	#include <time.h>

	#define ENDED_TIMELINE_ENTRY -1
	#define EMPTY_TIMELINE_ENTRY 0

	typedef struct timeline_entry{
	int type;
	double timepoint;