Courses/Modelování a Simulace II - 2020/Final Project - Revision history

Georgiev at 18:48, 16 December 2025

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 Below you will find the PDF file describing the final project.
-Due date: 18.1.2025
+Due date: January 23
 You are expected to provide not only the Monte Carlo estimate but also all supporting analysis that validates your MCMC algorithm.

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 Below you will find the PDF file describing the final project.
-Due date: 18.1.2023
+Due date: 18.1.2025
 You are expected to provide not only the Monte Carlo estimate but also all supporting analysis that validates your MCMC algorithm.

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 Download the assignment description
-[[File:2022_MS2_FinalProject.pdf]]
+[[File:2022-MS2_FinalProject.pdf]]
 Please note that in problem 2, when comparing abnormal time estimated by MCMC to the abnormal time estimated from your simple Markov Chain model should only consider abnormal voltage at the second node (not the reactive power).

@@ Line 29: / Line 29: @@
 Download the assignment description
-[[File:2020_MS2_FinalProject.pdf]]
+[[File:2022_MS2_FinalProject.pdf]]
 Please note that in problem 2, when comparing abnormal time estimated by MCMC to the abnormal time estimated from your simple Markov Chain model should only consider abnormal voltage at the second node (not the reactive power).

@@ Line 1: / Line 1: @@
 Below you will find the PDF file describing the final project.
-Due date: 18.1.2022
+Due date: 18.1.2023
 You are expected to provide not only the Monte Carlo estimate but also all supporting analysis that validates your MCMC algorithm.

← Older revision		Revision as of 09:11, 11 December 2020
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	1. Question: I don't understand the purpose of the f array.		1. Question: I don't understand the purpose of the f array.
		+
	Answer: The f array gives you the frequencies of data points in a given block of the parameter space. And you use this in calculating your acceptance probability. So that probability of acceptance is equal to min(1,Fnew/Fold).		Answer: The f array gives you the frequencies of data points in a given block of the parameter space. And you use this in calculating your acceptance probability. So that probability of acceptance is equal to min(1,Fnew/Fold).

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 Q&A
-.
+. Question: I don't understand the purpose of the f array.
 ----

← Older revision		Revision as of 08:45, 11 December 2020
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	You are expected to provide not only the Monte Carlo estimate but also all supporting analysis that validates your MCMC algorithm.		You are expected to provide not only the Monte Carlo estimate but also all supporting analysis that validates your MCMC algorithm.
		+
		+	----
		+	Q&A
		+
		+	1.

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 Please note that in problem 2, when comparing abnormal time estimated by MCMC to the abnormal time estimated from your simple Markov Chain model should only consider abnormal voltage at the second node (not the reactive power).
-Assigned datasets (from the list below) will be mailed to you:
+Assigned datasets (from the list below) will be mailed to you upon request (be email):
 # DataSet100-01.mat
 # DataSet100-02.mat