tag:blogger.com,1999:blog-8998915061360718170.post3085771637520186319..comments2023-04-13T20:01:15.234+05:30Comments on walked away...a memoir: Bayesian Inference in problem called LIFEdeephttp://www.blogger.com/profile/08626410277484761005noreply@blogger.comBlogger9125tag:blogger.com,1999:blog-8998915061360718170.post-29480306828581951972011-06-12T19:30:21.133+05:302011-06-12T19:30:21.133+05:30everything which is non existent at present beside...everything which is non existent at present besides the moments to come is a part of PAST...call it recent past(recent as from last few months or years) or complete past...as a whole it's a PAST....<br /><br />this will boost your eqn for <br />Posterior = W1.Prior + W2.Data <br /><br />this helps in reducing an extra constraint on our models...if complete past is given larger share of weight it has to overpower recent past...it will allow a prudent model to operate...<br /><br />(negative posterior will be feeble one)....Vivek Otarihttps://www.blogger.com/profile/03387220138218934107noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-67602038168267685282011-06-12T11:34:21.961+05:302011-06-12T11:34:21.961+05:30@bloody neel: its a personal choice, how we define...@bloody neel: its a personal choice, how we define our model.. what follows are the properties.. this one has got simplicity but looks like that it will be much harder on LIFE !!! <br /><br />@Vivek Otari: too complicated to respond :| <br />It would be nice if you could elaborate and bring more clarity!!deephttps://www.blogger.com/profile/08626410277484761005noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-2963796315585955772011-06-11T19:29:26.050+05:302011-06-11T19:29:26.050+05:30i think...
(??) Recent-past + (??) Complete-past =...i think...<br />(??) Recent-past + (??) Complete-past =PAST<br /><br />PAST (at present) is a deterministic event with known probability.<br />so it must be given max allowable weight...<br /><br />eqn Posterior = W1.Prior + W2.Data still holds <br /><br />also,-ve posterior = +(-ve posterior)<br /> if the data is permitted with formidable df, it can yield parsimonious solution...<br /><br />p.s : ofcousre "-","="&"+" in literal sense should not be considered...Vivek Otarihttps://www.blogger.com/profile/03387220138218934107noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-69569086414467392442011-06-06T04:16:16.720+05:302011-06-06T04:16:16.720+05:30we all have a very little memory. so lets put a ze...we all have a very little memory. so lets put a zero for the complete past and a one to the recent past.bloody neelhttps://www.blogger.com/profile/07424060687409623897noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-61583899404563947782011-05-28T16:21:45.834+05:302011-05-28T16:21:45.834+05:30@ Nachiket: I suppose life is also complicated.
@...@ Nachiket: I suppose life is also complicated.<br /><br />@ Srivats: True..I have felt the same.<br /><br />@Meghana: Your question is making sense to me.. I think if what I wrote is case of positive bias, then what you queried could be regarded as a case of negative bias (the way I interpreted your statement)..<br /><br />@Akanksha: I wish one fine day he gets it on google ;)deephttps://www.blogger.com/profile/08626410277484761005noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-63097360764023013912011-05-27T17:01:53.898+05:302011-05-27T17:01:53.898+05:30Send this post to Ramanathan Sir... He will surely...Send this post to Ramanathan Sir... He will surely make a paper out of it.... :)Akankshahttps://www.blogger.com/profile/11828033500626816240noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-40192543514273657802011-05-26T12:21:18.004+05:302011-05-26T12:21:18.004+05:30Ramanathan sir always comes up with such beautiful...Ramanathan sir always comes up with such beautiful real life examples. Hats off to him.<br /><br />Your questions about dividing data into recent past and and complete past have raised more questions in my mind.(with the risk of complicating your problem rather than simplifying it)let me put them here..<br /><br />Is it really ok giving weights according to recent past and complete past? What about a situation when your complete past had negative experiences and recent past is strikingly positive impression of the same person? <br /><br />Disclaimer: This question could be complete non sense; given my ignorance and lack of knowledge of the topic.Meghanahttps://www.blogger.com/profile/13409187717369905503noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-65611507504509027422011-05-25T20:35:32.322+05:302011-05-25T20:35:32.322+05:30It started with very interesting note of comparing...It started with very interesting note of comparing the Bayesian ( learning it for the first time, thanks) with that of our assumption about others and how it changes over time. As I have exp the situation, i think its the understanding that plays a vital role here, the lesser the understanding the more the judgement based on past or recent past exp. :)srihttps://www.blogger.com/profile/05163300976131007175noreply@blogger.comtag:blogger.com,1999:blog-8998915061360718170.post-37770482630705134072011-05-25T13:30:08.286+05:302011-05-25T13:30:08.286+05:30Bayesian n life...nice way out!
Bayesian= complic...Bayesian n life...nice way out!<br /><br />Bayesian= complicated<br />life= ----Nachikethttps://www.blogger.com/profile/13078779708589574955noreply@blogger.com