search for: aljosa

Displaying 7 results from an estimated 7 matches for "aljosa".

2016 Apr 26
2
Linear Regressions with constraint coefficients
Ok, and if I would just like to force my slope coefficients to be inside an interval, let's say, between 0 and 1? Is there a way in R to formulate such a constraint regression? Thanks in advance and kind regards, Aljosa Aljosa Aleksandrovic, FRM, CAIA Quantitative Analyst - Convertibles aljosa.aleksandrovic at man.com Tel +41 55 417 7603 Man Investments (CH) AG Huobstrasse 3 | 8808 Pf?ffikon SZ | Switzerland -----Original Message----- From: Bert Gunter [mailto:bgunter.4567 at gmail.com] Sent: Dienstag, 26....
2016 Apr 26
5
Linear Regressions with constraint coefficients
...s say, between 0 and 1. Further, if possible, the slope coefficients should add up to 1. Is there an elegant and not too complicated way to do such a constraint regression estimation in R? I would very much appreciate if you could help me with my issue? Thanks a lot in advance and kind regards, Aljosa Aleksandrovic Aljosa Aleksandrovic, FRM, CAIA Quantitative Analyst - Convertibles aljosa.aleksandrovic at man.com Tel +41 55 417 7603 Man Investments (CH) AG Huobstrasse 3 | 8808 Pf?ffikon SZ | Switzerland -----Original Message----- From: Kevin E. Thorpe [mailto:kevin.thorpe at utoronto.ca]...
2016 Apr 26
0
Linear Regressions with constraint coefficients
...know if they fit your situation. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Apr 26, 2016 at 8:29 AM, Aleksandrovic, Aljosa (Pfaeffikon) <Aljosa.Aleksandrovic at man.com> wrote: > Ok, and if I would just like to force my slope coefficients to be inside an interval, let's say, between 0 and 1? Is there a way in R to formulate such a constraint regression? > > Thanks in advance and kind regards, > Al...
2016 Apr 26
1
Linear Regressions with constraint coefficients
...late your problem appropriately. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Apr 26, 2016 at 5:39 AM, Aleksandrovic, Aljosa (Pfaeffikon) <Aljosa.Aleksandrovic at man.com> wrote: > Hi all, > > I hope you are doing well? > > I?m currently using the lm() function from the package stats to fit linear multifactor regressions. > > Unfortunately, I didn?t yet find a way to fit linear multifactor regr...
2016 Apr 28
2
Linear Regressions with constraint coefficients
...r the start argument (e.g. Using a 4 factor model with b1, b2, b3 and b4, I tried start = list(b1 = 0.5, b2 = 0.5, b3 = 0.5, b4 = 0.5))? I also tried other starting values ... Hence, the outputs are very sensitive to that start argument? Thanks a lot for your answer in advance! Kind regards, Aljosa Aljosa Aleksandrovic, FRM, CAIA Quantitative Analyst - Convertibles aljosa.aleksandrovic at man.com Tel +41 55 417 76 03 Man Investments (CH) AG Huobstrasse 3 | 8808 Pf?ffikon SZ | Switzerland -----Original Message----- From: Gabor Grothendieck [mailto:ggrothendieck at gmail.com] Sent: Dienst...
2016 Apr 28
0
Linear Regressions with constraint coefficients
The nls2 package can be used to get starting values. On Thu, Apr 28, 2016 at 8:42 AM, Aleksandrovic, Aljosa (Pfaeffikon) <Aljosa.Aleksandrovic at man.com> wrote: > Hi Gabor, > > Thanks a lot for your help! > > I tried to implement your nonlinear least squares solver on my data set. I was just wondering about the argument start. If I would like to force all my coefficients to be insid...
2016 Apr 26
0
Linear Regressions with constraint coefficients
...st(b1 = 1, b2 = 2, b3 = 3)) giving the following non-negative coefficients which sum to 1 that are reasonably close to the true values of 0.2, 0.3 and 0.5: > fm$coefficients / sum(fm$coefficients) b1 b2 b3 0.18463 0.27887 0.53650 On Tue, Apr 26, 2016 at 8:39 AM, Aleksandrovic, Aljosa (Pfaeffikon) <Aljosa.Aleksandrovic at man.com> wrote: > Hi all, > > I hope you are doing well? > > I?m currently using the lm() function from the package stats to fit linear multifactor regressions. > > Unfortunately, I didn?t yet find a way to fit linear multifactor regr...