Markov chains and identifying patterns in phone numbers using RDoes an n-order Markov chain still represent a Markov process?Is a deterministic path a Markov processMarkov Chains: Limiting probabilities of positive recurrent states sum to one?Definition of Stationary Distributions of a Markov ChainWhy are inter arrival times in the continuous version of discrete-time Markov chains always exponentially distributed?Markov chains and conditioning on impossible eventsModelling probability problems by Markov chainsInvariant probability starting in transient classModelling problems using Markov chains.How to know if it is best to use Markov Chains to model a customer state space
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Markov chains and identifying patterns in phone numbers using R
Does an n-order Markov chain still represent a Markov process?Is a deterministic path a Markov processMarkov Chains: Limiting probabilities of positive recurrent states sum to one?Definition of Stationary Distributions of a Markov ChainWhy are inter arrival times in the continuous version of discrete-time Markov chains always exponentially distributed?Markov chains and conditioning on impossible eventsModelling probability problems by Markov chainsInvariant probability starting in transient classModelling problems using Markov chains.How to know if it is best to use Markov Chains to model a customer state space
$begingroup$
I have a very long list of phone numbers. There are about 500 unique phone numbers and several thousand calls in total. They are all in time order. I want to look for patterns in this. My initial thoughts were that it is possibly a Markov chain in that each phone number represents a state and the probability of what the next number called will be is different depending upon what the last number called was.
Statistically speaking, does this sound right? How in R would I do this and find out the probabilities?
markov-chains markov-process
$endgroup$
add a comment |
$begingroup$
I have a very long list of phone numbers. There are about 500 unique phone numbers and several thousand calls in total. They are all in time order. I want to look for patterns in this. My initial thoughts were that it is possibly a Markov chain in that each phone number represents a state and the probability of what the next number called will be is different depending upon what the last number called was.
Statistically speaking, does this sound right? How in R would I do this and find out the probabilities?
markov-chains markov-process
$endgroup$
add a comment |
$begingroup$
I have a very long list of phone numbers. There are about 500 unique phone numbers and several thousand calls in total. They are all in time order. I want to look for patterns in this. My initial thoughts were that it is possibly a Markov chain in that each phone number represents a state and the probability of what the next number called will be is different depending upon what the last number called was.
Statistically speaking, does this sound right? How in R would I do this and find out the probabilities?
markov-chains markov-process
$endgroup$
I have a very long list of phone numbers. There are about 500 unique phone numbers and several thousand calls in total. They are all in time order. I want to look for patterns in this. My initial thoughts were that it is possibly a Markov chain in that each phone number represents a state and the probability of what the next number called will be is different depending upon what the last number called was.
Statistically speaking, does this sound right? How in R would I do this and find out the probabilities?
markov-chains markov-process
markov-chains markov-process
asked 2 days ago
Maths BarryMaths Barry
439
439
add a comment |
add a comment |
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