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In this situation, we have a sample of discrete observations and try to estimate parameters for the process of (8) generating the sample.
KDE generates a continuous distribution from a sample of discrete events, and has been adapted for use with circular data (Brunsdon and Corcoran 2006, 309).
Next, we apply the following two assumptions, in order to construct a continuous quasi-potential surface from this sample of discrete trajectories [ 38]: 1.
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The finest possible sampling of discrete window sizes without duplication was 13 values of n across this interval for VWMT, SART and TMT, and 11 values of n for MTAS.
Now in that context, and also in its own right, another important sampling issue is the sampling of discrete time signals, in other words, the sampling of a sequence.
Briefly, we performed Monte Carlo sampling of discrete rotamer side-chain conformations on a fixed backbone.
The decomposition in (3) can also be approximated by samples of discrete-time Fourier transform, yields a decomposition off the form A [ k ] = U ′ [ k ] Σ ′ [ k ] V ′ H [ k ], k = 0, 1, …, K − 1. (7).
Representative transmission electron micrograph (TEM, Figure 1a) illustrates that the samples consist of discrete, nanosized CoFe2O4 crystals with diameter of 8 to 18 nm.
Although the scanning sensor on the ICESat-2 platform will provide continuous sample lines instead of discrete waveform returns, similar acquisition patterns from airborne lidar instruments have been discretized and used in model-based estimation approaches [16, 21].
Although the scanning sensor on the ICESat-2 platform will provide continuous sample lines instead of discrete waveform returns, similar acquisition patterns from airborne lidar instruments have been discretized and used in model-based estimation approaches [ 16, 21].
It develops a Markov chain Monte Carlo algorithm for posterior simulation that is reliable and practical given the number of attributes, choices and sample sizes characteristic of discrete choice experiments.
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