Question

Function $f = (f_1,\dots,f_n)$ s.t. $[f_1(x),\dots,f_n(x)]$ goes from $[1,0,\dots,0]$ to $[0,\dots,0,1]$ in a smooth way

score 72 · Answer 1 · 2017-01-19 19:12:29

72

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Function $f = (f_1,\dots,f_n)$ s.t. $[f_1(x),\dots,f_n(x)]$ goes from $[1,0,\dots,0]$ to $[0,\dots,0,1]$ in a smooth way

Published on 19 Jan 2017 - 19:12

score 929 · Answer 2 · 2017-01-22 00:45:40

929

Views

Assigning probabilities inversely proportional to distances

Published on 22 Jan 2017 - 0:45

score 48 · Answer 3 · 2017-01-22 16:13:32

48

Views

Formal definition of: "The event $A$ is determinated by $X_0, \ldots, X_T$"

Published on 22 Jan 2017 - 16:13

score 567 · Answer 4 · 2017-01-22 19:04:05

567

Views

What information does a Markov chain transition matrix (to the power of k) hold?

Published on 22 Jan 2017 - 19:04

score 1k · Answer 5 · 2026-04-01 01:34:56

1k

Views

A recurrence system and Markov chain.

Published on 01 Apr 2026 - 1:34

score 83 · Answer 6 · 2026-03-30 17:15:52

83

Views

Comparison of duration of two gambler's ruin games

Published on 30 Mar 2026 - 17:15

score 337 · Answer 7 · 2017-01-24 11:35:10

337

Views

Show that the sum of finite discrete Markov-chain transition probability is one

Published on 24 Jan 2017 - 11:35

score 106 · Answer 8 · 2026-03-25 20:42:06

106

Views

What are Markov matrices and can they be used to model migration?

Published on 25 Mar 2026 - 20:42

score 289 · Answer 9 · 2017-01-25 12:10:41

289

Views

Am I on the right track? - long run profit problem

Published on 25 Jan 2017 - 12:10

score 3.3k · Answer 10 · 2026-02-23 13:27:30

3.3k

Views

Understanding invariant and stationary distributions for Markov chains

Published on 23 Feb 2026 - 13:27

score 5.8k · Answer 11 · 2017-01-25 22:56:34

5.8k

Views

Expected Value and Variance of a Markov Chain

Published on 25 Jan 2017 - 22:56

score 290 · Answer 12 · 2017-01-25 23:48:06

290

Views

If $X_0,X_1,X_2,...$ be a Markov chain then why $Z_n=X_0X_1...X_n$ is also a Markov chain?

Published on 25 Jan 2017 - 23:48

score 217 · Answer 13 · 2026-03-26 12:37:24

Does a continuous state markov chain with stochastic transition density $K^n(x,y)>0$ for any $x$ and $y$ have a unique stationary distribution?

score 419 · Answer 14 · 2017-01-28 09:42:34

419

Views

Computing the n-step transition probability of a Markov chain with repeated eigenvalues

Published on 28 Jan 2017 - 9:42

score 1.7k · Answer 15 · 2026-04-03 18:39:19

1.7k

Views

Solving Markov chain in MATLAB

Published on 03 Apr 2026 - 18:39

List Question

Function $f = (f_1,\dots,f_n)$ s.t. $[f_1(x),\dots,f_n(x)]$ goes from $[1,0,\dots,0]$ to $[0,\dots,0,1]$ in a smooth way

Assigning probabilities inversely proportional to distances

Formal definition of: "The event $A$ is determinated by $X_0, \ldots, X_T$"

What information does a Markov chain transition matrix (to the power of k) hold?

A recurrence system and Markov chain.

Comparison of duration of two gambler's ruin games

Show that the sum of finite discrete Markov-chain transition probability is one

What are Markov matrices and can they be used to model migration?

Am I on the right track? - long run profit problem

Understanding invariant and stationary distributions for Markov chains

Expected Value and Variance of a Markov Chain

If $X_0,X_1,X_2,...$ be a Markov chain then why $Z_n=X_0X_1...X_n$ is also a Markov chain?

Does a continuous state markov chain with stochastic transition density $K^n(x,y)>0$ for any $x$ and $y$ have a unique stationary distribution?

Computing the n-step transition probability of a Markov chain with repeated eigenvalues

Solving Markov chain in MATLAB

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