### Table 7: The encoded frame position for time-varying CBR channels.

1999

"... In PAGE 17: ...0817 0.3908 56 Also, we can see the encoded frame position for time-varying CBR channels in Table7 . Note that the proposed frame rate control algorithm avoids the abrupt encoded frame interval change, which can degrade the perceived qualityobviously.... ..."

Cited by 11

### Table 7: Time-Varying EM. 14-node topology. Bad prior.

"... In PAGE 7: ... We retested the EM method using a window size of 10, to take advantage of multiple measurement intervals. Table7 shows the results. The constant case is not shown because it is not affected by incorporating multi- ple measurement intervals.... ..."

### Table 7: Time-Varying EM. 14-node topology. Bad prior.

"... In PAGE 7: ... We retested the EM method using a window size of 10, to take advantage of multiple measurement intervals. Table7 shows the results. The constant case is not shown because it is not affected by incorporating multi- ple measurement intervals.... ..."

### Table 6 Time-Varying Correlation between dX and dY

"... In PAGE 27: ...he theoretical literature on option pricing under stochastic volatility #5Be.g. Hull and White #281987#29 or Stein and Stein #281991#29#5D. Table6 allows this correlation to depend on the log exchange rate #28model B#29, the interest rate di#0Berential #28model C#29, or the volatility of the exchange rate #28model D#29. Each line in the table presents only estimates of #1A 0 , #1A 1 , and #1A 2 of the speci#0Ccation #2838#29, along with the resulting log likelihood of the model.... In PAGE 28: ... 4.3 Implications for Currency Markets With time-varying market price of currency risk #28model D in Table 4#29 and time-varying correlation between innovations to the log exchange rate and innovations to its volatility #28model B in Table6 #29, our estimated model is: dr t =0:240 , 0:034 , r t #01 dt +0:047 p r t dW t ; dr t #03 =1:069 , 0:070 , r t #03 #01 dt +0:093 p r t #03 dW t #03 ; #2842#29 de t = h , r t , r t #03 #01 + #10 , 4:063 , 29:817v t #01 + , , 0:230 #01, , 0:194 #01 p r t #11 v t , 1 2 v t 2 i dt + v t dX t ; dv t =4:073 , 0:102 , v t #01 dt +0:305 p v t dY t ; where Corr 2 6 6 6 6 4 dW t dW t #03 dX t dY t 3 7 7 7 7 5 = 2 6 6 6 6 4 1:000 ,0:205 1:000 ,0:230 0:056 1:000 0:059 ,0:006 #1A xy 1:000 3 7 7 7 7 5 #2843#29 and #1A xy =2 exp #08 1:573 , 3:217e t #09 1 + exp #08 1:573 , 3:217e t #09 , 1: #2844#29 This model has some interesting implications for the currency spot and options markets. 4.... ..."

### Table 2.3: A simple stochastic time-varying context-sensitive map L-system.

2001

Cited by 2

### Table 13: Mean Execution Times for Varying Production and Sam- pling Intervals for the Water INTERF Section on Eight Processors (seconds)

1997

Cited by 44

### TABLE 2. Model Time-Varying Inputs

2007

"... In PAGE 33: ...TABLE2 . Model Time-Varying Inputs (cont.... ..."

### Table XVIII. Execution Times for Varying Production and Sampling Intervals for String on Eight Processors (seconds)

in Eliminating Synchronization Overhead in Automatically Parallelized Programs Using Dynamic Feedback

1999

Cited by 7

### Table XVIII. Execution Times for Varying Production and Sampling Intervals for String on Eight Processors (seconds)

in Eliminating Synchronization Overhead in Automatically Parallelized Programs Using Dynamic Feedback

1999

Cited by 7