Discrete Multivariate Distributions Revision and Simulation

Slides:



Advertisements
Similar presentations
Joint and marginal distribution functions For any two random variables X and Y defined on the same sample space, the joint c.d.f. is For an example, see.
Advertisements

Applying Probability Define problem of interest – in terms of “random variables” and/or “composite events” Use real world knowledge, symmetry – to associate.
Probability Theory STAT 312 STAT 312 Dr. Zakeia AlSaiary.
Review of Basic Probability and Statistics
Probability and Statistics Modelling Systems of Random Variables – Computer System – Traffic Systems – Financial System – Data System Linear – Weighted.
TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS.
Why Do Stochastic Simulations? Empirical evaluation of statistical tests or methods –Want to know how well t-test performs when have unequal variances.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Discrete random variables Probability mass function Distribution function (Secs )
1 Pertemuan 05 Sebaran Peubah Acak Diskrit Matakuliah: A0392-Statistik Ekonomi Tahun: 2006.
Samples vs. Distributions Distributions: Discrete Random Variable Distributions: Continuous Random Variable Another Situation: Sample of Data.
2. Random variables  Introduction  Distribution of a random variable  Distribution function properties  Discrete random variables  Point mass  Discrete.
Chapter 5. Operations on Multiple R. V.'s 1 Chapter 5. Operations on Multiple Random Variables 0. Introduction 1. Expected Value of a Function of Random.
Lecture 4 Rescaling, Sum and difference of random variables: simple algebra for mean and standard deviation (X+Y) 2 =X 2 + Y XY E (X+Y) 2 = EX 2.
Lecture II-2: Probability Review
5-1 Two Discrete Random Variables Example Two Discrete Random Variables Figure 5-1 Joint probability distribution of X and Y in Example 5-1.
1 Random Variables and Discrete probability Distributions SESSION 2.
5-1 Two Discrete Random Variables Example Two Discrete Random Variables Figure 5-1 Joint probability distribution of X and Y in Example 5-1.
LECTURE UNIT 4.3 Normal Random Variables and Normal Probability Distributions.
Distribution Function properties. Density Function – We define the derivative of the distribution function F X (x) as the probability density function.
Joint Distribution of two or More Random Variables
Chapter6 Jointly Distributed Random Variables
Sampling Distributions  A statistic is random in value … it changes from sample to sample.  The probability distribution of a statistic is called a sampling.
Probability Review Part I Design and Analysis of Algorithms I.
Stephen Mildenhall September 2001
Probability theory 2 Tron Anders Moger September 13th 2006.
Wiener Processes and Itô’s Lemma Chapter 12 1 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 2008.
Soc 3306a Lecture 9: Multivariate 2 More on Multiple Regression: Building a Model and Interpreting Coefficients.
Advanced Higher Statistics Data Analysis and Modelling Hypothesis Testing Statistical Inference AH.
1 G Lect 8b G Lecture 8b Correlation: quantifying linear association between random variables Example: Okazaki’s inferences from a survey.
Chi-squared Tests. We want to test the “goodness of fit” of a particular theoretical distribution to an observed distribution. The procedure is: 1. Set.
Uncertainty Uncertain Knowledge Probability Review Bayes’ Theorem Summary.
STA347 - week 51 More on Distribution Function The distribution of a random variable X can be determined directly from its cumulative distribution function.
Made by: Maor Levy, Temple University  Inference in Bayes Nets ◦ What is the probability of getting a strong letter? ◦ We want to compute the.
Ch 8. Graphical Models Pattern Recognition and Machine Learning, C. M. Bishop, Revised by M.-O. Heo Summarized by J.W. Nam Biointelligence Laboratory,
1 G Lect 2M Examples of Correlation Random variables and manipulated variables Thinking about joint distributions Thinking about marginal distributions:
Lecture 11 Pairs and Vector of Random Variables Last Time Pairs of R.Vs. Marginal PMF (Cont.) Joint PDF Marginal PDF Functions of Two R.Vs Expected Values.
1 Wiener Processes and Itô’s Lemma MGT 821/ECON 873 Wiener Processes and Itô’s Lemma.
1 Topic 5 - Joint distributions and the CLT Joint distributions –Calculation of probabilities, mean and variance –Expectations of functions based on joint.
7 sum of RVs. 7-1: variance of Z Find the variance of Z = X+Y by using Var(X), Var(Y), and Cov(X,Y)
Probability Refresher COMP5416 Advanced Network Technologies.
Reasoning with Probs How does evidence lead to conclusions in situations of uncertainty? Bayes Theorem Data fusion, use of techniques that combine data.
Topic 5 - Joint distributions and the CLT
STATISTICS Joint and Conditional Distributions Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University.
Probability and Statistics Dr. Saeid Moloudzadeh Joint Distribution of Two Random Variables/ Independent Random Variables 1 Contents Descriptive.
Jointly distributed Random variables Multivariate distributions.
Week 111 Some facts about Power Series Consider the power series with non-negative coefficients a k. If converges for any positive value of t, say for.
Dan Boneh Introduction Discrete Probability (crash course, cont.) Online Cryptography Course Dan Boneh See also:
MathematicalMarketing Slide 4b.1 Distributions Chapter 4: Part b – The Multivariate Normal Distribution We will be discussing  The Multivariate Normal.
Statistics and probability Dr. Khaled Ismael Almghari Phone No:
Bayesian Inference: Multiple Parameters
Basics of Multivariate Probability
Quick Review Probability Theory
Quick Review Probability Theory
Vitaly Feldman and Jan Vondrâk IBM Research - Almaden
CS723 - Probability and Stochastic Processes
Econ Roadmap Focus Midterm 1 Focus Midterm 2 Focus Final Intro
Keller: Stats for Mgmt & Econ, 7th Ed
AP Statistics: Chapter 7
Multiple Random Variables
Probability & Statistics Probability Theory Mathematical Probability Models Event Relationships Distributions of Random Variables Continuous Random.
ASV Chapters 1 - Sample Spaces and Probabilities
ASV Chapters 1 - Sample Spaces and Probabilities
CSCI 5822 Probabilistic Models of Human and Machine Learning
ASV Chapters 1 - Sample Spaces and Probabilities
CS723 - Probability and Stochastic Processes
ASV Chapters 1 - Sample Spaces and Probabilities
Probability overview Event space – set of possible outcomes
TRANSFORMATION OF FUNCTION OF TWO OR MORE RANDOM VARIABLES
CS723 - Probability and Stochastic Processes
Presentation transcript:

Discrete Multivariate Distributions Revision and Simulation 18/01/2019 ST2352 Week 2

Simulation Excel file 18/01/2019 ST2352 Week 2

Bivariate Dist (Marg) Dist X Cov(X,Y) Dist (X+Y) Var(X+Y) E[min(X,Y)] Derive by probability Explain by simulation Marginalise: Prob: sum across one dim Sim: ignore one col 18/01/2019 ST2352 Week 2

Summaries of sample 18/01/2019 ST2352 Week 2

Multivariate Stochastic System Multiple Columns/Random Variables Interest often lies in a few cols/RVs Marginalise ST2351. Tut2.Q2 Sit 6 exams. Pr pass each is 0.8 indep others Pr(Fail at least 2)= 18/01/2019 ST2352 Week 2

Conditional Distribution Simulating from Cond distribution Simulate system And restrict attention to subset (of random size) Alt Focus on aspect of joint sim (rescale rel freq) | 18/01/2019 ST2352 Week 2

Conditional Distribution Simulating from Cond distribution Compute by prob Explain by simulation Dist [X|Y=0] E [X |Y=0] Var[X|Y=0] E [X2 |Y=0] | Prove. Explain via simulation 18/01/2019 ST2352 Week 2

Conditioning in Stoch Systems Modelling uncertainties in system Exploiting partial info on a system X and Z often multivariate in real applications 18/01/2019 ST2352 Week 2

Stoch System: Exams Passed Pr(Pass exam A, B, C, D): A 0.6 B 0.7 C 0.8 D 0.9 Seek dist of N = no. exams past Simulation and Marginalising Probability 18/01/2019 ST2352 Week 2

Prob method 1: Enumeration 18/01/2019 ST2352 Week 2

Prob method 2: Recursion via Conditional Dist 18/01/2019 ST2352 Week 2

Prob method 2: Recursion via Conditional Dist 18/01/2019 ST2352 Week 2