Jay H mobeets

Chana Masala

Prep time: 15 mins Cooking time: 40-45 mins Serves: 4

Ingredients:

2 Onions - sliced finely
4 cloves of garlic - chopped finely (or crushed)

0.620713	0.463101	0.869851	0.610158	0.702451	0.767094
0.797397	0.441206	0.753544	0.679309	0.524256	0.752844
0.58715	0.137027	0.938175	0.590607	0.840056	0.652926
0.176337	0.909013	0.356048	0.306722	0.134125	0.669478
0.790946	0.155954	0.173121	0.310723	0.989607	0.294101
0.620713	0.463101	0.869851	0.610158	0.702451	0.767094
0.797397	0.441206	0.753544	0.679309	0.524256	0.752844
0.58715	0.137027	0.938175	0.590607	0.840056	0.652926
0.176337	0.909013	0.356048	0.306722	0.134125	0.669478
0.790946	0.155954	0.173121	0.310723	0.989607	0.294101

The following questions can be asked of people (e.g., family members) who somehow manage to form simple opinions about very complex events.

Q1. Where have you learned about the event? First-hand? Or second-hand, through the media?

Q2. Have you ever sought out news about the event?

For example, have you ever had a question about the event and then sought an answer yourself, or do you learn about it as presented via friends and/or the media?

Q3. Have you tried your best to consider the perspective of both sides involved? If so, is there a benefit to you personally in arriving at a definitive opinion?

Programs

tl;dr: 1) apply to PhD in: stats/neuro, 2) stats; 3) apply to CNBC program

PhD in Statistics and Neural Computation: This degree is aimed at students who want to join the PNC program, while also specializing in statistics.

Ph.D. Program in Neural Computation: a graduate training program in computational neuroscience for students seeking training in the application of quantitative approaches to the study of the brain.

CNBC Grad Training Program: to be admitted to the CNBC Training Program, students must have been accepted into one of the affiliated doctoral programs at either the University of Pittsburgh or Carnegie Mellon. For students applying from outside the two universities, applications to the doctoral program and the CNBC program may be submitted simultaneously. n.b. not a degree-granting program but I still need to apply

Workflow

Command line jrn creates file (from template if desired) for specified day, date range, file format
Daily builds

inputs: *.rtf, *.txt, *.md, *.html, *.png. *.jpeg
output: *.md
dirs: Journal/ -> _posts/
update _data/counts.json

Jekyll template for viewing/searching posts

Paper: Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations

Model

P(Y_k | X_k, mu, beta) ~ Poisson(lambda_k)
lambda_k = exp(mu + beta*X_k)
x_k = px_{k-1} + alphaI_k + e_k

where e_k normally distributed with zero mean and known variance; also, I, alpha, and beta are known.

Data

Wyeth Bair's Neural Signal Archive
Neurodatabase

Gibbs sampling to estimate AR(1) model parameters.

Source: SSC 389: AR(1) + noise

Definitions

Xt is hidden state at time t
Yt is observed state at time t
Dt is information known at time t, i.e. {Y1, ..., Yt}
T is length of X, Y, D

Definitions

SNR = Power(signal) / Power(noise)

Power(x(t)) = average Energy(x(t)) over all t

Energy(x(t)) = the area under |x(t)|^2

(Energy/power involve squaring the signal because you are interested in the magnitude of the signal and not just its amplitude. That's it.)

	import itertools
	import numpy as np
	# https://github.com/relsqui/pydeck
	from pydeck import standard, cribbage

	CARDS_PER_DEAL = 6
	CARDS_PER_HAND = 4
	POINTS_TO_WIN = 121
	VERBOSE = False