Is the records a Markov chain?Prove Markov Chain by definitionConvergence of the number of visits in a Markov ChainTransition probability matrix of Markov chainDifficult to comprehend markov chain and its characteristicsProve that $W_n := (X_n,Y_n)$ is a Markov chain and determine the transition probabilities.Symmetric states of a Markov Chainprove homogeneous markov chainHow to know this is Markov Chain or not?Markov chain transition kernel inferenceMarkov Chain: Ehrenfest
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Is the records a Markov chain?
Prove Markov Chain by definitionConvergence of the number of visits in a Markov ChainTransition probability matrix of Markov chainDifficult to comprehend markov chain and its characteristicsProve that $W_n := (X_n,Y_n)$ is a Markov chain and determine the transition probabilities.Symmetric states of a Markov Chainprove homogeneous markov chainHow to know this is Markov Chain or not?Markov chain transition kernel inferenceMarkov Chain: Ehrenfest
$begingroup$
Let $X_1, X_2, dots$ be independent random variables such that $PX_i = j = alpha_j, j geq 0$. Say that a record occurs at time $n$ if $X_n > max(X_1, dots, X_n-1)$, where $X_0 = -infty$, and if a record does occur at time $n$ call $X_n$ the record value. Let $R_i$ denote the ith record value.
(a) Argue that $R_i, i geq 1$ is a Markov chain and compute its transition probabilities.
(b) Let $T_i$ denote the time between the ith and $(i + 1)$st record. Is $T_i, i geq 1$ a Markov chain? What about $(R_i, T_i), i geq 1$? Compute transition probabilities where appropriate.
(c) Let $S_n = sum_i=1^n T_i, n geq 1$. Argue that $S_n, n geq 1$ is a Markov chain and find its transition probabilities.
The Problem was from Chapter 4 of "Stochastic Processes" by M. Ross, I've solved the first question, which is $
P_ij = left{
beginarrayll
0 quad i geq j \
alpha_j/sum_k=i+1^infty alpha_k quad i < j \
endarray
right. $
I think the $T_i$ are independent from each other(thus a trivial Markov chain), whose transition probability is its probability. But I don't know how solve the last two question exactly. Thx for help.
markov-chains
New contributor
$endgroup$
add a comment |
$begingroup$
Let $X_1, X_2, dots$ be independent random variables such that $PX_i = j = alpha_j, j geq 0$. Say that a record occurs at time $n$ if $X_n > max(X_1, dots, X_n-1)$, where $X_0 = -infty$, and if a record does occur at time $n$ call $X_n$ the record value. Let $R_i$ denote the ith record value.
(a) Argue that $R_i, i geq 1$ is a Markov chain and compute its transition probabilities.
(b) Let $T_i$ denote the time between the ith and $(i + 1)$st record. Is $T_i, i geq 1$ a Markov chain? What about $(R_i, T_i), i geq 1$? Compute transition probabilities where appropriate.
(c) Let $S_n = sum_i=1^n T_i, n geq 1$. Argue that $S_n, n geq 1$ is a Markov chain and find its transition probabilities.
The Problem was from Chapter 4 of "Stochastic Processes" by M. Ross, I've solved the first question, which is $
P_ij = left{
beginarrayll
0 quad i geq j \
alpha_j/sum_k=i+1^infty alpha_k quad i < j \
endarray
right. $
I think the $T_i$ are independent from each other(thus a trivial Markov chain), whose transition probability is its probability. But I don't know how solve the last two question exactly. Thx for help.
markov-chains
New contributor
$endgroup$
add a comment |
$begingroup$
Let $X_1, X_2, dots$ be independent random variables such that $PX_i = j = alpha_j, j geq 0$. Say that a record occurs at time $n$ if $X_n > max(X_1, dots, X_n-1)$, where $X_0 = -infty$, and if a record does occur at time $n$ call $X_n$ the record value. Let $R_i$ denote the ith record value.
(a) Argue that $R_i, i geq 1$ is a Markov chain and compute its transition probabilities.
(b) Let $T_i$ denote the time between the ith and $(i + 1)$st record. Is $T_i, i geq 1$ a Markov chain? What about $(R_i, T_i), i geq 1$? Compute transition probabilities where appropriate.
(c) Let $S_n = sum_i=1^n T_i, n geq 1$. Argue that $S_n, n geq 1$ is a Markov chain and find its transition probabilities.
The Problem was from Chapter 4 of "Stochastic Processes" by M. Ross, I've solved the first question, which is $
P_ij = left{
beginarrayll
0 quad i geq j \
alpha_j/sum_k=i+1^infty alpha_k quad i < j \
endarray
right. $
I think the $T_i$ are independent from each other(thus a trivial Markov chain), whose transition probability is its probability. But I don't know how solve the last two question exactly. Thx for help.
markov-chains
New contributor
$endgroup$
Let $X_1, X_2, dots$ be independent random variables such that $PX_i = j = alpha_j, j geq 0$. Say that a record occurs at time $n$ if $X_n > max(X_1, dots, X_n-1)$, where $X_0 = -infty$, and if a record does occur at time $n$ call $X_n$ the record value. Let $R_i$ denote the ith record value.
(a) Argue that $R_i, i geq 1$ is a Markov chain and compute its transition probabilities.
(b) Let $T_i$ denote the time between the ith and $(i + 1)$st record. Is $T_i, i geq 1$ a Markov chain? What about $(R_i, T_i), i geq 1$? Compute transition probabilities where appropriate.
(c) Let $S_n = sum_i=1^n T_i, n geq 1$. Argue that $S_n, n geq 1$ is a Markov chain and find its transition probabilities.
The Problem was from Chapter 4 of "Stochastic Processes" by M. Ross, I've solved the first question, which is $
P_ij = left{
beginarrayll
0 quad i geq j \
alpha_j/sum_k=i+1^infty alpha_k quad i < j \
endarray
right. $
I think the $T_i$ are independent from each other(thus a trivial Markov chain), whose transition probability is its probability. But I don't know how solve the last two question exactly. Thx for help.
markov-chains
markov-chains
New contributor
New contributor
New contributor
asked Mar 13 at 8:41
charmpeachcharmpeach
11
11
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