How to obtain samples from global maximum of a stochastic function?

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP











up vote
0
down vote

favorite












I would like to obtain samples of the value $undersetxargmax f(x)$, where the function $f$ is sampled from some distribution of functions $F$, i.e. $fsim F$.



$x in mathbbR$, and $f:mathbbRtomathbbR$.



My intuition tells me that if I first sample a function $f$ and then solve for the $argmax$, I would obtain a sample from $undersetxargmax f(x)$. I'm skeptical of this, but I didn't find a way to prove or disprove this statement yet. Any help would be appreciated.







share|cite|improve this question





















  • It seems to me a definitional (notational) matter of if that's what you mean, rather than a matter of proof. What you describe is how I would interpret it.
    – Mark L. Stone
    Aug 2 at 18:47










  • @MarkL.Stone Didn't really understand your comment, can you rephrase it? :)
    – JLagana
    Aug 3 at 9:47










  • This is a matter of hoe you define what you want to do. it is not a matter oif proof.
    – Mark L. Stone
    Aug 3 at 11:01










  • @MarkL.Stone Now I understand your sentence, thanks. My goal is to obtain samples from $argmax f(x)$, where $f$ is a stochastic function. Could you point out what is ambiguous or unclear about my question so I can improve it?
    – JLagana
    Aug 3 at 12:01










  • I interpreted it as you described in your first post. If there is an uncertainty, it is on your end.
    – Mark L. Stone
    Aug 3 at 12:08














up vote
0
down vote

favorite












I would like to obtain samples of the value $undersetxargmax f(x)$, where the function $f$ is sampled from some distribution of functions $F$, i.e. $fsim F$.



$x in mathbbR$, and $f:mathbbRtomathbbR$.



My intuition tells me that if I first sample a function $f$ and then solve for the $argmax$, I would obtain a sample from $undersetxargmax f(x)$. I'm skeptical of this, but I didn't find a way to prove or disprove this statement yet. Any help would be appreciated.







share|cite|improve this question





















  • It seems to me a definitional (notational) matter of if that's what you mean, rather than a matter of proof. What you describe is how I would interpret it.
    – Mark L. Stone
    Aug 2 at 18:47










  • @MarkL.Stone Didn't really understand your comment, can you rephrase it? :)
    – JLagana
    Aug 3 at 9:47










  • This is a matter of hoe you define what you want to do. it is not a matter oif proof.
    – Mark L. Stone
    Aug 3 at 11:01










  • @MarkL.Stone Now I understand your sentence, thanks. My goal is to obtain samples from $argmax f(x)$, where $f$ is a stochastic function. Could you point out what is ambiguous or unclear about my question so I can improve it?
    – JLagana
    Aug 3 at 12:01










  • I interpreted it as you described in your first post. If there is an uncertainty, it is on your end.
    – Mark L. Stone
    Aug 3 at 12:08












up vote
0
down vote

favorite









up vote
0
down vote

favorite











I would like to obtain samples of the value $undersetxargmax f(x)$, where the function $f$ is sampled from some distribution of functions $F$, i.e. $fsim F$.



$x in mathbbR$, and $f:mathbbRtomathbbR$.



My intuition tells me that if I first sample a function $f$ and then solve for the $argmax$, I would obtain a sample from $undersetxargmax f(x)$. I'm skeptical of this, but I didn't find a way to prove or disprove this statement yet. Any help would be appreciated.







share|cite|improve this question













I would like to obtain samples of the value $undersetxargmax f(x)$, where the function $f$ is sampled from some distribution of functions $F$, i.e. $fsim F$.



$x in mathbbR$, and $f:mathbbRtomathbbR$.



My intuition tells me that if I first sample a function $f$ and then solve for the $argmax$, I would obtain a sample from $undersetxargmax f(x)$. I'm skeptical of this, but I didn't find a way to prove or disprove this statement yet. Any help would be appreciated.









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Aug 2 at 13:19
























asked Aug 2 at 13:06









JLagana

255112




255112











  • It seems to me a definitional (notational) matter of if that's what you mean, rather than a matter of proof. What you describe is how I would interpret it.
    – Mark L. Stone
    Aug 2 at 18:47










  • @MarkL.Stone Didn't really understand your comment, can you rephrase it? :)
    – JLagana
    Aug 3 at 9:47










  • This is a matter of hoe you define what you want to do. it is not a matter oif proof.
    – Mark L. Stone
    Aug 3 at 11:01










  • @MarkL.Stone Now I understand your sentence, thanks. My goal is to obtain samples from $argmax f(x)$, where $f$ is a stochastic function. Could you point out what is ambiguous or unclear about my question so I can improve it?
    – JLagana
    Aug 3 at 12:01










  • I interpreted it as you described in your first post. If there is an uncertainty, it is on your end.
    – Mark L. Stone
    Aug 3 at 12:08
















  • It seems to me a definitional (notational) matter of if that's what you mean, rather than a matter of proof. What you describe is how I would interpret it.
    – Mark L. Stone
    Aug 2 at 18:47










  • @MarkL.Stone Didn't really understand your comment, can you rephrase it? :)
    – JLagana
    Aug 3 at 9:47










  • This is a matter of hoe you define what you want to do. it is not a matter oif proof.
    – Mark L. Stone
    Aug 3 at 11:01










  • @MarkL.Stone Now I understand your sentence, thanks. My goal is to obtain samples from $argmax f(x)$, where $f$ is a stochastic function. Could you point out what is ambiguous or unclear about my question so I can improve it?
    – JLagana
    Aug 3 at 12:01










  • I interpreted it as you described in your first post. If there is an uncertainty, it is on your end.
    – Mark L. Stone
    Aug 3 at 12:08















It seems to me a definitional (notational) matter of if that's what you mean, rather than a matter of proof. What you describe is how I would interpret it.
– Mark L. Stone
Aug 2 at 18:47




It seems to me a definitional (notational) matter of if that's what you mean, rather than a matter of proof. What you describe is how I would interpret it.
– Mark L. Stone
Aug 2 at 18:47












@MarkL.Stone Didn't really understand your comment, can you rephrase it? :)
– JLagana
Aug 3 at 9:47




@MarkL.Stone Didn't really understand your comment, can you rephrase it? :)
– JLagana
Aug 3 at 9:47












This is a matter of hoe you define what you want to do. it is not a matter oif proof.
– Mark L. Stone
Aug 3 at 11:01




This is a matter of hoe you define what you want to do. it is not a matter oif proof.
– Mark L. Stone
Aug 3 at 11:01












@MarkL.Stone Now I understand your sentence, thanks. My goal is to obtain samples from $argmax f(x)$, where $f$ is a stochastic function. Could you point out what is ambiguous or unclear about my question so I can improve it?
– JLagana
Aug 3 at 12:01




@MarkL.Stone Now I understand your sentence, thanks. My goal is to obtain samples from $argmax f(x)$, where $f$ is a stochastic function. Could you point out what is ambiguous or unclear about my question so I can improve it?
– JLagana
Aug 3 at 12:01












I interpreted it as you described in your first post. If there is an uncertainty, it is on your end.
– Mark L. Stone
Aug 3 at 12:08




I interpreted it as you described in your first post. If there is an uncertainty, it is on your end.
– Mark L. Stone
Aug 3 at 12:08















active

oldest

votes











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',
convertImagesToLinks: true,
noModals: false,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);



);








 

draft saved


draft discarded


















StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2870047%2fhow-to-obtain-samples-from-global-maximum-of-a-stochastic-function%23new-answer', 'question_page');

);

Post as a guest



































active

oldest

votes













active

oldest

votes









active

oldest

votes






active

oldest

votes










 

draft saved


draft discarded


























 


draft saved


draft discarded














StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2870047%2fhow-to-obtain-samples-from-global-maximum-of-a-stochastic-function%23new-answer', 'question_page');

);

Post as a guest













































































Comments

Popular posts from this blog

What is the equation of a 3D cone with generalised tilt?

Color the edges and diagonals of a regular polygon

Relationship between determinant of matrix and determinant of adjoint?