Transitive Probability Constraints Take 2
We know that $P(B|A)$ and $P(C|B)$ don't generally constraint $P(C|A)$. But do $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$ jointly constrain $P(C|A)$ and $P(neg A|neg C)$? In particular, let $t > frac{1}{2}$ be such that
$t leq$ $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$.
What does this tell us about $P(C|A)$ and $P(neg A|neg C)$? In particular, does it imply $P(C|A)$, $P(neg A|neg C)$ $leq 1 - t$ can't both hold?
probability
add a comment |
We know that $P(B|A)$ and $P(C|B)$ don't generally constraint $P(C|A)$. But do $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$ jointly constrain $P(C|A)$ and $P(neg A|neg C)$? In particular, let $t > frac{1}{2}$ be such that
$t leq$ $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$.
What does this tell us about $P(C|A)$ and $P(neg A|neg C)$? In particular, does it imply $P(C|A)$, $P(neg A|neg C)$ $leq 1 - t$ can't both hold?
probability
add a comment |
We know that $P(B|A)$ and $P(C|B)$ don't generally constraint $P(C|A)$. But do $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$ jointly constrain $P(C|A)$ and $P(neg A|neg C)$? In particular, let $t > frac{1}{2}$ be such that
$t leq$ $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$.
What does this tell us about $P(C|A)$ and $P(neg A|neg C)$? In particular, does it imply $P(C|A)$, $P(neg A|neg C)$ $leq 1 - t$ can't both hold?
probability
We know that $P(B|A)$ and $P(C|B)$ don't generally constraint $P(C|A)$. But do $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$ jointly constrain $P(C|A)$ and $P(neg A|neg C)$? In particular, let $t > frac{1}{2}$ be such that
$t leq$ $P(B|A)$, $P(neg A|neg B)$, $P(C|B)$, $P(neg B|neg C)$.
What does this tell us about $P(C|A)$ and $P(neg A|neg C)$? In particular, does it imply $P(C|A)$, $P(neg A|neg C)$ $leq 1 - t$ can't both hold?
probability
probability
edited Nov 30 at 15:52
asked Nov 30 at 14:31
King Kong
1507
1507
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
(-----Answer to the old question-----)
Consider the probability function $P$ that assigns the following probabilities to atomic events:
$$P(neg A wedge B wedge C) = frac{2}{3}$$
$$P(A wedge B wedge neg C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge neg C) = frac{1}{6}$$
The other atomic events get null probability by the function $P$.
With such assignment we have that $P(B|A)=1$, $P(C|B)=frac{8}{9}$, $P(neg A|neg B)=1$ and $P(neg B|neg C)=frac{2}{3}$. Note that $P(C|A)=0$ under the distribution $P$. Therefore, the implication you suggest does not hold (take $t=frac{2}{3}$, for example).
fantastic, thanks a lot. I now realise that the property i'm after is actually a little different. I want to know whether $t leq P(C|B), P(neg B|neg C), P(B|A), P(neg A|neg B)$ guarantees that $P(C|A)$, $P(neg A|neg C) leq 1 - t$ can't both hold. I'm editing the question to reflect this. My apologies for the mistake.
– King Kong
Nov 30 at 15:52
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3020156%2ftransitive-probability-constraints-take-2%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
(-----Answer to the old question-----)
Consider the probability function $P$ that assigns the following probabilities to atomic events:
$$P(neg A wedge B wedge C) = frac{2}{3}$$
$$P(A wedge B wedge neg C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge neg C) = frac{1}{6}$$
The other atomic events get null probability by the function $P$.
With such assignment we have that $P(B|A)=1$, $P(C|B)=frac{8}{9}$, $P(neg A|neg B)=1$ and $P(neg B|neg C)=frac{2}{3}$. Note that $P(C|A)=0$ under the distribution $P$. Therefore, the implication you suggest does not hold (take $t=frac{2}{3}$, for example).
fantastic, thanks a lot. I now realise that the property i'm after is actually a little different. I want to know whether $t leq P(C|B), P(neg B|neg C), P(B|A), P(neg A|neg B)$ guarantees that $P(C|A)$, $P(neg A|neg C) leq 1 - t$ can't both hold. I'm editing the question to reflect this. My apologies for the mistake.
– King Kong
Nov 30 at 15:52
add a comment |
(-----Answer to the old question-----)
Consider the probability function $P$ that assigns the following probabilities to atomic events:
$$P(neg A wedge B wedge C) = frac{2}{3}$$
$$P(A wedge B wedge neg C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge neg C) = frac{1}{6}$$
The other atomic events get null probability by the function $P$.
With such assignment we have that $P(B|A)=1$, $P(C|B)=frac{8}{9}$, $P(neg A|neg B)=1$ and $P(neg B|neg C)=frac{2}{3}$. Note that $P(C|A)=0$ under the distribution $P$. Therefore, the implication you suggest does not hold (take $t=frac{2}{3}$, for example).
fantastic, thanks a lot. I now realise that the property i'm after is actually a little different. I want to know whether $t leq P(C|B), P(neg B|neg C), P(B|A), P(neg A|neg B)$ guarantees that $P(C|A)$, $P(neg A|neg C) leq 1 - t$ can't both hold. I'm editing the question to reflect this. My apologies for the mistake.
– King Kong
Nov 30 at 15:52
add a comment |
(-----Answer to the old question-----)
Consider the probability function $P$ that assigns the following probabilities to atomic events:
$$P(neg A wedge B wedge C) = frac{2}{3}$$
$$P(A wedge B wedge neg C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge neg C) = frac{1}{6}$$
The other atomic events get null probability by the function $P$.
With such assignment we have that $P(B|A)=1$, $P(C|B)=frac{8}{9}$, $P(neg A|neg B)=1$ and $P(neg B|neg C)=frac{2}{3}$. Note that $P(C|A)=0$ under the distribution $P$. Therefore, the implication you suggest does not hold (take $t=frac{2}{3}$, for example).
(-----Answer to the old question-----)
Consider the probability function $P$ that assigns the following probabilities to atomic events:
$$P(neg A wedge B wedge C) = frac{2}{3}$$
$$P(A wedge B wedge neg C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge C) = frac{1}{12}$$
$$P(neg A wedge neg B wedge neg C) = frac{1}{6}$$
The other atomic events get null probability by the function $P$.
With such assignment we have that $P(B|A)=1$, $P(C|B)=frac{8}{9}$, $P(neg A|neg B)=1$ and $P(neg B|neg C)=frac{2}{3}$. Note that $P(C|A)=0$ under the distribution $P$. Therefore, the implication you suggest does not hold (take $t=frac{2}{3}$, for example).
edited Nov 30 at 15:56
answered Nov 30 at 15:24
DavidPM
16618
16618
fantastic, thanks a lot. I now realise that the property i'm after is actually a little different. I want to know whether $t leq P(C|B), P(neg B|neg C), P(B|A), P(neg A|neg B)$ guarantees that $P(C|A)$, $P(neg A|neg C) leq 1 - t$ can't both hold. I'm editing the question to reflect this. My apologies for the mistake.
– King Kong
Nov 30 at 15:52
add a comment |
fantastic, thanks a lot. I now realise that the property i'm after is actually a little different. I want to know whether $t leq P(C|B), P(neg B|neg C), P(B|A), P(neg A|neg B)$ guarantees that $P(C|A)$, $P(neg A|neg C) leq 1 - t$ can't both hold. I'm editing the question to reflect this. My apologies for the mistake.
– King Kong
Nov 30 at 15:52
fantastic, thanks a lot. I now realise that the property i'm after is actually a little different. I want to know whether $t leq P(C|B), P(neg B|neg C), P(B|A), P(neg A|neg B)$ guarantees that $P(C|A)$, $P(neg A|neg C) leq 1 - t$ can't both hold. I'm editing the question to reflect this. My apologies for the mistake.
– King Kong
Nov 30 at 15:52
fantastic, thanks a lot. I now realise that the property i'm after is actually a little different. I want to know whether $t leq P(C|B), P(neg B|neg C), P(B|A), P(neg A|neg B)$ guarantees that $P(C|A)$, $P(neg A|neg C) leq 1 - t$ can't both hold. I'm editing the question to reflect this. My apologies for the mistake.
– King Kong
Nov 30 at 15:52
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3020156%2ftransitive-probability-constraints-take-2%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown