ahlusar1989

ahlusar1989

ahlusar1989

"""
Plot white noise with added sinusoidal signal
"""
import numpy as np
import matplotlib.pyplot as plt
import sys
import h5py

fs = 4096           # sampling rate [Hz]  
T = 4               # duration [s]

ahlusar1989

#' Hellwig's method for choosing subset of independet variables
#' 
#' Hellwig's method selects a subset of independent variables in a linear
#' regression model based on their correlations with some dependent variable as
#' well as correlations between themselves. The goal is to select a subset of
#' variables which are fairly independent from each other but highly correlated
#' with the dependent variable.
#' 
#' Given \eqn{m} independent variables Hellwig's method consists of evaluating
#' all \eqn{2^m - 1} combinations using the following steps:

ahlusar1989

---
generator: pandoc
title: Gibbs sampling
viewport: 'width=device-width, initial-scale=1'
---

::: {.container-fluid .main-container}
::: {#header .fluid-row}
Gibbs sampling {#gibbs-sampling .title .toc-ignore}
==============

ahlusar1989

generator	title	viewport
pandoc	Gibbs sampling	width=device-width, initial-scale=1

::: {.container-fluid .main-container} ::: {#header .fluid-row} Gibbs sampling {#gibbs-sampling .title .toc-ignore}

ahlusar1989

ahlusar1989

ahlusar1989

#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import warnings
import numpy as np
import pandas as pd
import sys

__author__ = "Mohsen Mesgarpour"
__copyright__ = "Copyright 2016, https://github.com/mesgarpour"
__credits__ = ["Mohsen Mesgarpour"]

ahlusar1989