Network sampling
Distribution and dependence of extremes in network sampling processes
... walk-based sampling processes” explains the different types of random walks studied and derives associated transition kernels and joint degree ...different sampling techniques later in section “Extremal ...
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Damage detection via shortest-path network sampling
... path sampling strategies for damage detection in large- scale ...path sampling strategies are ac- tually used in Internet probing [1, 20–24] including fail- ure detection, via traceroute like tools and ...
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Inverse network sampling to explore online brand allegiance
... The rest of the article is organised a follows. In section 2 we discuss previous work in network analysis aimed at the “forward” problem of applying a sampling strat- egy to a large network and ...
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Estimating the Size of the Methamphetamine Using Population in New York City Using Network Sampling Techniques
... initial sampling paths can be seen to affect subsequent referral paths, thus skewing the “recapture” process to those in the original sample (and resulting in an in- accurate recapture number, see Berchenko & ...
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Unequal Edge Inclusion Probabilities in Link-Tracing Network Sampling With Implications for Respondent-Driven Sampling
... edge sampling probability to inference from RDS ...edge sampling probabilities for non-branching edge sampling in Section ...edge sampling prob- ability assumption for five specific networks ...
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Scaling Up Network Analysis and Mining: Statistical Sampling, Estimation, and Pattern Discovery
... particularly sampling methods are ...of network sampling more explicitly, such as: objectives/goals, population of inter- est, units, classes of sampling algorithms ...g., network ...
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Optimization of Soil Sampling Design Based on Road Networks – A Simulated Annealing/Neural Network Algorithm
... soil sampling points to obtain the soil-landscape relationship with relatively high ...the sampling points is essentially a problem of combinatorial optimization between the sampling ...the ...
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Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies
... The current AOND system has the flexibility to also evalu- ate the potential of space missions or further in situ sampling strategies. There are a number of obvious ways to refine the present system. It can be ...
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Non-Fragile Control for Variable Sampling Period Network Control System with Actuator Failure
... the network control system, Yang Xinwei considered the case where the maximum allowable network delay and the lower limit are not ...a network control system model and proved the stability of the ...
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Adaptive sampling technique using regression modelling and fuzzy inference system for network traffic
... It is advantageous to increase the number of selected packets when there is an increase in transmission rate and vice versus. In adaptive sampling incorporate changes in the traffic level [5] and thus it can ...
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Temporal Spatial Consistency and Sampling Neural Network Based Adaptive Hand held Video Deblurring
... Subsampling-convolutional module consists of four pairs combination of flat-convolutional layer and the subsampling convolutional layer. The flat convolutional module is for non-linear mapping and preserve the size of ...
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HOW PROBABILITY SAMPLING DIFFERENTIATE WITH NONPROBABILITY SAMPLING
... Almost any type of sample has some utility when estimating population quantities. The focus in this paper is to indicate what type or combination of types of sampling can be used in various situations to ...
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Detecting MAC Layer Misbehavior in Wi-Fi Networks by Co-ordinated Sampling of Network Monitoring
... coordinated sampling strategy is a channel sampling schedule for each sniffer, identifying the order and duration of visited to each ...coordinated sampling generates a series of schedules by ...
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Unbiased sampling of network ensembles.
... our sampling method is unbiased, the arithmetic mean over the sample automatically weighs the con fi gurations according to their correct ...observed network very well, which means that the degree sequence ...
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Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling
... Our method extracts representative nodes and divides the remaining nodes into clus- ters based on connectedness with the representative nodes, and thus can be treated as a community extraction method. In recent years, ...
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Decision by sampling
... Loewenstein & Thaler, 1989; Thaler, 1981). If magnitudes are sampled at random from memory then DbS does not account for this phenomenon. If it is assumed that similarity plays a role in the sampling process, ...
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The sampling brain
... of sampling from past experiences as a complementary mechanism for associative learning and builds on an earlier replay model (Ludvig, Zhu, Mirian, Kehoe, & Sutton, under ...
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Sampling theory
... Non-probability sampling: does not involve random selection.. Random/non-random→ issue of bias, sample validity, reliability of results, generalization..[r] ...
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Asymptotic properties of pivotal sampling with application to spatial sampling
... pivotal sampling is first presented in Section ...spatial sampling. We first give some reminders on the GRTS sampling design in Section ...alternative sampling designs in Section 5, we ...
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Earthworm sampling
... The extraction of earthworms can be combined with a spade test, which is based on the approach of Capowiez (2012). Note potential negative side‐effects of the combination on sampling efficiency. After the ...
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