search for: alpha_t

...Sir/Madam, I apologize for any cross-posting. I got a simple question, which I thought the R list may help me to find an answer. Suppose we have Y_1, Y_2, ., Y_n ~ Poisson (Lambda_i) and Lambda_i ~Gamma(alpha_i, beta_i). Empirical Bayes Estimator for hyper-parameters of the gamma distr, i.e. (alpha_t, beta_t) are needed. y=c(12,5,17,14) n=4 What about a Hierarchal B ayes estimators? Any relevant work and codes in R (or S+) is highly appreciated. Kind regards, Ali [[alternative HTML version deleted]]

....c route.c draw.c graphics.c stats.c segment_stats.c rr_graph.c rr_graph2.c rr_graph_sbox.c rr_graph_util.c rr_graph_timing_params.c rr_graph_area.c check_rr_graph.c check_route.c hash.c read_place.c -lm 2) ./spec_vpr net.in arch.in place.out dum.out -nodisp -place_only -init_t 5 -exit_t 0.005 -alpha_t 0.9412 -inner_num 2 I am particularly interested in the following CINT95 benchmarks: 099.go, 129.compress, 130.li, 132.ijpeg can anyone tell me the "standard" commandline to compile and run these benchmarks with the default ref configurations ? thanks, --Long

...; segment_stats.c rr_graph.c rr_graph2.c rr_graph_sbox.c >> rr_graph_util.c rr_graph_timing_params.c rr_graph_area.c >> check_rr_graph.c check_route.c hash.c read_place.c -lm >> 2) ./spec_vpr net.in arch.in place.out dum.out -nodisp -place_only >> -init_t 5 -exit_t 0.005 -alpha_t 0.9412 -inner_num 2 >> >> I am particularly interested in the following CINT95 benchmarks: >> 099.go, 129.compress, 130.li, 132.ijpeg >> >> can anyone tell me the "standard" commandline to compile and run >> these benchmarks with the default ref config...

...s.c stats.c segment_stats.c > rr_graph.c rr_graph2.c rr_graph_sbox.c rr_graph_util.c > rr_graph_timing_params.c rr_graph_area.c check_rr_graph.c check_route.c > hash.c read_place.c -lm > 2) ./spec_vpr net.in arch.in place.out dum.out -nodisp -place_only -init_t 5 > -exit_t 0.005 -alpha_t 0.9412 -inner_num 2 > > I am particularly interested in the following CINT95 benchmarks: > 099.go, 129.compress, 130.li, 132.ijpeg > > can anyone tell me the "standard" commandline to compile and run these > benchmarks with the default ref configurations ? All of this...

...; rr_graph.c rr_graph2.c rr_graph_sbox.c rr_graph_util.c >>> rr_graph_timing_params.c rr_graph_area.c check_rr_graph.c check_route.c >>> hash.c read_place.c -lm >>> 2) ./spec_vpr net.in arch.in place.out dum.out -nodisp -place_only -init_t >>> 5 -exit_t 0.005 -alpha_t 0.9412 -inner_num 2 >>> >>> I am particularly interested in the following CINT95 benchmarks: >>> 099.go, 129.compress, 130.li, 132.ijpeg >>> >>> can anyone tell me the "standard" commandline to compile and run these >>> benchmarks w...

...t converting back into the original contrasts, but it isn't easy with higher-way anova models. It looks easy in VR2 p 197-204 (BTW I have kroenecker and ginv functions if anyone wants them) but I don't get it to work out nicely. V&R show the contrast transformation as: alpha_T = ginv(C_T) %*% C_H %*% alpha_H where C_T is the contrast matrix for treatment contrasts, and C_H for Helmert contrasts. The alpha's contain only the treatment contrast effects, not the mean. This would leave the intercept estimate unchanged (not right). For single factors it works...