Stochastic Processes & Martingales

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34 Terms

1
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Poisson Process Terminology (Xi, Yi, Ji, Si)

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2
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Poisson Process

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3
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2 Types of Increments

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4
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How to answer Poisson Process question (e.g. P(X7=3), \lambda=1/2)

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5
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Sum of two Poisson Processes

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6
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Colouring Theorem

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7
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Poisson Point Process

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8
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Compound Poisson Process

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9
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Mean and Variance of a Compound Poisson Process

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10
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Central Limit Theorem (used for CPPs with large n e.g. P(X50>240))

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11
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Memoryless Property

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12
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Test for Explosion of a Birth Process

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Mean and Variance of Birth Process

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14
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Irreducibility of Markov Chain

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15
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Transient, Null/Positive Recurrent Definitions

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16
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How to work out expected first arrival time at node i

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17
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Long term probability, Pi(Xt = j)

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18
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Detailed Balance

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19
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Find Invariant Distribution

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20
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Long run probability of something happening (in Markov Chain)

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21
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Stationary Distribution for Closed Migration Process

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22
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Power Set

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23
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Probability Space

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24
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\sigma-algebra on a set \Omega

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25
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F-measurable

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26
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Filtration

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\sigma(X)

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Natural Filtration of (Xn)

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29
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Properties of the Expectation

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Properties of the Conditional Expectation

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How to define a Martingale

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Stopping Time T

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Optional (and Elementary) Stopping Theorem

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Martingale Convergence Theorem

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