×

### Let's log you in.

or

Don't have a StudySoup account? Create one here!

×

or

by: Andre Sõstar

242

0

3

# Introduction MH3512

Andre Sõstar
NTU
GPA 4.0
STOCHASTIC PROCESSES
TBA

These notes were just uploaded, and will be ready to view shortly.

Either way, we'll remind you when they're ready :)

Get a free preview of these Notes, just enter your email below.

×
Unlock Preview

Just a very brief introduction, what is Stochastic processes.
COURSE
STOCHASTIC PROCESSES
PROF.
TBA
TYPE
Class Notes
PAGES
3
WORDS
KARMA
25 ?

## Popular in Applied Mathematics

This 3 page Class Notes was uploaded by Andre Sõstar on Friday August 21, 2015. The Class Notes belongs to MH3512 at Nanyang Technological University taught by TBA in Summer 2015. Since its upload, it has received 242 views. For similar materials see STOCHASTIC PROCESSES in Applied Mathematics at Nanyang Technological University.

×

## Reviews for Introduction

×

×

### What is Karma?

#### You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

Date Created: 08/21/15
MH3512 Stochastic Processes Nanyang Technological Univeristy Instructor Nicolas Privault notes Andre Sostar August 16 2015 1 Introduction Stochastic Processes is mathematical tool to model random phenomena Some examples of processes modeled as stochastic time series include stock market and exchange rate uctuations signals such as speech audio and video medical data such as a patient s EKG EEG blood pressure or tem perature and random movement such as Brownian motion or random walksl We can divide it to two main families 0 Markov process2 a process that satis es the Markov property3 The expectation of the next value only depends on the present value In others words the future of the process is solely based upon the present state not on the sequence of events that preceded it so the Markov property is memoryless o Martingales4 model of fair game Where knowledge of past events never helps to predict the mean of the future Winning Basically the expectation of the next value is the present value 1 https enwikipediaorgWikiStochasticprocess 2https enwikipediaorgwikiMarkovprocess 3httpsz enwikipediaorgWiki Markovproperty 4https enwikipediaorgWikiMartingaleprobabilitytheory 1 MH3512 Stochastic Processes Nanyang Technological Univeristy Instructor Nicolas Privault notes Andre Sostar August 16 2015 1 Introduction Stochastic Processes is mathematical tool to model random phenomena Some examples of processes modeled as stochastic time series include stock market and exchange rate uctuations signals such as speech audio and video medical data such as a patient s EKG EEG blood pressure or tem perature and random movement such as Brownian motion or random walksl We can divide it to two main families 0 Markov process2 a process that satis es the Markov property3 The expectation of the next value only depends on the present value In others words the future of the process is solely based upon the present state not on the sequence of events that preceded it so the Markov property is memoryless o Martingales4 model of fair game Where knowledge of past events never helps to predict the mean of the future Winning Basically the expectation of the next value is the present value 1 https enwikipediaorgWikiStochasticprocess 2https enwikipediaorgwikiMarkovprocess 3httpsz enwikipediaorgWiki Markovproperty 4https enwikipediaorgWikiMartingaleprobabilitytheory 1

×

×

### BOOM! Enjoy Your Free Notes!

×

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

## Why people love StudySoup

Bentley McCaw University of Florida

#### "I was shooting for a perfect 4.0 GPA this semester. Having StudySoup as a study aid was critical to helping me achieve my goal...and I nailed it!"

Jennifer McGill UCSF Med School

#### "Selling my MCAT study guides and notes has been a great source of side revenue while I'm in school. Some months I'm making over \$500! Plus, it makes me happy knowing that I'm helping future med students with their MCAT."

Bentley McCaw University of Florida

#### "I was shooting for a perfect 4.0 GPA this semester. Having StudySoup as a study aid was critical to helping me achieve my goal...and I nailed it!"

Parker Thompson 500 Startups

#### "It's a great way for students to improve their educational experience and it seemed like a product that everybody wants, so all the people participating are winning."

Become an Elite Notetaker and start selling your notes online!
×

### Refund Policy

#### STUDYSOUP CANCELLATION POLICY

All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email support@studysoup.com

#### STUDYSOUP REFUND POLICY

StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here: support@studysoup.com

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to support@studysoup.com