similar to: order.max specification problem in the ar.ols function

Displaying 20 results from an estimated 2000 matches similar to: "order.max specification problem in the ar.ols function"

2012 Nov 15
2
[LLVMdev] X86 rsqrt instruction generated
Hi, We have implemented the rsqrt instruction generation for X86 target architecture. We have introduced a flag -fp-rsqrt flag which controls the generatation of X86 rsqrt instruction generation. We have observed minor effects on precision due to rsqrt and hence has put these transformations under the mentioned flag. Note that -fp-rsqrt is only enabled with -enable-unsafe-fp-math flag presently.
2012 Nov 15
0
[LLVMdev] X86 rsqrt instruction generated
On Wed, Nov 14, 2012 at 10:43 PM, Chakraborty, Soham <Soham.Chakraborty at amd.com> wrote: > Hi, > > > > We have implemented the rsqrt instruction generation for X86 target > architecture. We have introduced a flag -fp-rsqrt flag which controls the > generatation of X86 rsqrt instruction generation. > > We have observed minor effects on precision due to rsqrt and
2016 Sep 02
4
undef * 0
What is the value of undef * 0 in LLVM? According to its definition in the LLVM IR reference; "The string ‘undef‘ can be used anywhere a constant is expected..." Am I correct to say that undef * 0 = 0 following this definition? Best Regards, soham
2012 Dec 03
1
[LLVMdev] X86 rsqrt instruction generated
Hi, Please find attached the modified patch and description. We have modified and retested the patch taking into consideration the comments and inputs provided earlier. Thanks & Regards, soham -----Original Message----- From: Eli Friedman [mailto:eli.friedman at gmail.com] Sent: Thursday, November 15, 2012 12:59 PM To: Chakraborty, Soham Cc: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev]
2012 Nov 05
1
[LLVMdev] adding architecture specific flag
Hi, Can anybody please suggest where to add architecture specific code generation flags(e.g. X86) in llvm? Thanks in advance. Best Regards, soham
2016 Sep 14
2
undef * 0
Hi, > Both A and B are undef: > LHS = (undef & undef) | (undef & undef) = undef // Since ~undef = undef > RHS = undef > Thus transform is correct. LLVM documentation (http://llvm.org/docs/LangRef.html#undefined-values) suggests that it is unsafe to consider (a & undef = undef) and (a | undef = undef). "As such, it is unsafe to optimize or assume
2016 Sep 13
2
undef * 0
Thanks for your answers. Another example of unsound transformation on Boolean algebra. According to the LLVM documentation (http://llvm.org/docs/LangRef.html#undefined-values) it is unsafe to consider ' a & undef = undef ' and ' a | undef = undef ' but 'undef xor undef = undef' is safe. Now, given an expression ((a & (~b)) | ((~a) & b)) where a and b are
2024 Feb 22
1
help - Package: stats - function ar.ols
Hello, My name is Pedro and it is nice to meet you all. I am having trouble understanding a message that I receive when use function ar.ols from package stats, it says that "Warning message: In ar.ols(x = dtb[2:6966, ], demean = FALSE, intercept = TRUE, prewhite = TRUE) : model order: 2 singularities in the computation of the projection matrix results are only valid up to model order 1,
2024 Feb 23
2
help - Package: stats - function ar.ols
Hello, Thanks for the reply Rui and for pointing out that I forgot to attach my code. Please find attached in this email my code and data. Thanks in advance. Best regards, Pedro Gerhardt Gavronski. On Fri, Feb 23, 2024 at 5:50?AM Rui Barradas <ruipbarradas at sapo.pt> wrote: > > ?s 16:34 de 22/02/2024, Pedro Gavronski. escreveu: > > Hello, > > > > My name is Pedro
2024 Feb 23
1
help - Package: stats - function ar.ols
?s 16:34 de 22/02/2024, Pedro Gavronski. escreveu: > Hello, > > My name is Pedro and it is nice to meet you all. I am having trouble > understanding a message that I receive when use function ar.ols from > package stats, it says that "Warning message: > In ar.ols(x = dtb[2:6966, ], demean = FALSE, intercept = TRUE, > prewhite = TRUE) : > model order: 2
2024 Feb 23
1
help - Package: stats - function ar.ols
The data came through fine, the program was a miss. Can you paste the program into a ".txt" document like a notepad file and send that? You could also paste it into your email IF your email is configured to send text and NOT html. TIm -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of Pedro Gavronski. Sent: Friday, February 23, 2024 5:00 AM To:
2016 Sep 02
3
undef * 0
I don't know of a way to do it from the command-line, but if you're willing to change the IR, you can add the optsize (for -Os) or minsize (for -Oz) IR attribute to the function you're compiling. On Fri, Sep 2, 2016 at 5:59 AM, Bruce Hoult via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Idle question, if anyone is reading still ... how do you get llc to do -Os > or
2011 Mar 29
1
Simple AR(2)
Hi there, we are beginners in R and we are trying to fit the following time series using ar(2): > x <- c(1.89, 2.46, 3.23, 3.95, 4.56, 5.07, 5.62, 6.16, 6.26, 6.56, 6.98, > 7.36, 7.53, 7.84, 8.09) The reason of choosing the present time series is that the we have previously calculated analitically the autoregressive coefficients using the direct inversion method as 1.1, 0.765, 0.1173.
2012 Aug 03
1
AR vs ARMA model
Hi I am trying to fit a time series data.It gives a AR(2) model using the ar function and ARMA(1,1) model using autoarmafit function in timsac package.How do I know which is the correct underlying model? pls help -- View this message in context: http://r.789695.n4.nabble.com/AR-vs-ARMA-model-tp4639015.html Sent from the R help mailing list archive at Nabble.com.
2012 Sep 28
0
Questions about the functions ar.ols and auto.arima when fitting an AR model
Hi, I am trying to fit an AR model, maximum order =4, order selection criterion is aic. I wonder why these two give different results: m1<-ar.ols(x, aic=TRUE, method="ols", order.max=4) m1<-auto.arima(x,d=0, D=0, max.p=4, max.P=0, max.q=0, max.Q=0, ic="aic") Could they both use the function predict to do forecasting? Is there any function that works better?
2009 Feb 16
4
assuming AR(1) residuals in OLS
Hi to all, In other statistical software, such as Eviews, it is possible to regress a model with the Least Squares method, assuming that the residuals follow an AR(q) process. For example the resulting regression is something like y = 1.2154 + 0.2215 x + 0.251 AR(1) How is it possible to do the same in R? Thank you very much in advance, Constantine Tsardounis http://www.costis.name
2018 Jun 26
2
How to force an unused function declaration in clang
It does, when the function has a body. When it doesn't, it ignores <https://godbolt.org/g/2BCvht>. The body might be provided later on in the toolchain via linking a library. Regards, Soham Sinha PhD Student, Department of Computer Science Boston University On Tue, Jun 26, 2018 at 10:25 AM Hans Wennborg <hans at chromium.org> wrote: > It works for me: > >
2018 Jun 26
2
How to force an unused function declaration in clang
For the same reason GCC allowed the attribute. Even if I want to use/inline a function later on in the pipeline. Regards, Soham Sinha PhD Student, Department of Computer Science Boston University On Tue, Jun 26, 2018 at 8:30 AM mayuyu.io <admin at mayuyu.io> wrote: > Out of curiosity, how does an unused declaration affect the emitted object > file > > Zhang > > > 在
2018 May 15
3
How to inline function from other file in IR
Hello, How can I inline a function mentioned in other file? I have an inline function *foo* in C source file (a.c) which is not referenced in this file. I compile this file to a.ll (I notice that the compiled a.ll doesn't have *foo*'s definition, probably because it was inlined but not called anywhere) I have another C source file b.c with function *bar*; I compile this to b.ll I link
2007 Feb 05
2
ar function in stats
I had a couple of questions about the ar function that i was hoping someone could answer. I have the structure below testSeries<-structure(c(-3.88613620955214e-05, 0, -7.77272551011343e-05, 0, -0.000194344573539562, -0.000116624876218163, -3.88779814601281e-05, 0, 3.88779814601281e-05, -0.000155520995647807, -0.000116656621367561, -3.88885648225368e-05, -3.88900772017586e-05,